Next Article in Journal
The Latest Exploration of Cerebrovascular Diseases: From Preclinical Research to Treatment
Previous Article in Journal
Charting Early Brain Plasticity in Radiological Training: Functional Brain Reorganization During Early Radiological Expertise Acquisition
Previous Article in Special Issue
Sleep Disorders in Children with Autism Spectrum Disorder: Developmental Impact and Intervention Strategies
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

A Review of Therapeutic Approaches for Autism Spectrum Disorder

1
Medical Engineering & Engineering Medicine Innovation Center, Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China
2
School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Brain Sci. 2025, 15(12), 1280; https://doi.org/10.3390/brainsci15121280
Submission received: 24 October 2025 / Revised: 24 November 2025 / Accepted: 27 November 2025 / Published: 28 November 2025

Abstract

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder. Significant progress has been made in the intervention and treatment of ASD. This review systematically summarizes five major categories of mainstream ASD treatment approaches. This article outlines the theoretical basis and therapeutic effects of each intervention method, discusses their advantages and limitations, and analyzes and forecasts future development directions. Due to the lack of specific treatment methods, ASD treatment primarily relies on behavioral interventions, supplemented by symptomatic pharmacological treatments. Behavioral interventions can significantly improve children’s self-care abilities and quality of life while also promoting social skills and communication, and reducing disability and comorbidity rates. ASD intervention methods should primarily focus on those proven effective through evidence-based practice, adhering to individualized, multidimensional, and multidisciplinary approaches, thereby promoting the development and establishment of efficient and personalized intervention strategies.

1. Introduction

Autism spectrum disorder (ASD) is a highly heterogeneous neurodevelopmental disorder characterized by early onset, a long course, and high disability rates [1]. Approximately one in every 100 children is diagnosed with ASD, which imposes a significant economic burden on families and society [2]. ASD rarely presents in a pure form and is often comorbid with psychiatric disorders [3], such as attention deficit hyperactivity disorder (28%), anxiety disorders (20%), repetitive behaviors and obsessive compulsive disorder (9%), sleep disorders (13%), and mood disorders (with a comorbidity rate of 11% for major depressive disorder and 5% for bipolar disorder). Neurological comorbidities such as cerebral palsy and epilepsy are also observed [4]. A cross-sectional study revealed that 65% of patients have comorbidities, including epilepsy (2%) and cerebral palsy (2%) [5]. Therefore, there is an urgent need for scientifically validated early intervention models.
Currently, common treatment methods for ASD include pharmacological treatment, behavioral intervention, traditional Chinese medicine (TCM), neuromodulation techniques, and complementary and alternative medicine (CAM), as shown in Figure 1. Each method has its unique advantages. For example, pharmacological treatment is mainly used to manage comorbid symptoms related to ASD [6]. Behavioral intervention aims to improve social skills and adaptive behaviors [7]. TCM aims to address the root causes and symptoms of the disorder [8]. Neuromodulation techniques alleviate ASD-related symptoms by regulating brain activity [9,10]. CAM provides more options for personalized care.
This article systematically summarizes and discusses the theoretical basis, therapeutic effects, advantages, limitations, and future development directions of various methods. This review provides a comprehensive overview of current ASD interventions. It aims to serve as a comprehensive reference for clinical practice and future research, thereby promoting the development and establishment of efficient, personalized intervention strategies.

2. Pharmacological Treatment

Pharmacological treatment alleviates and manages comorbid symptoms of ASD by modulating neurotransmitters, emotional states, and behaviors [6,11,12]. Based on their mechanisms of action, pharmacological treatment can be broadly categorized into atypical antipsychotics [6,13,14,15,16,17], stimulants [18,19,20,21], antidepressants [22,23,24,25], and other potential therapeutic drugs [26,27,28,29,30,31].

2.1. Atypical Antipsychotic

Atypical antipsychotics aim to regulate the balance of neurotransmitters such as dopamine and serotonin, thereby reducing irritability and impulsive behaviors in patients [13,14]. Risperidone and aripiprazole are two atypical antipsychotics approved by the United States Food and Drug Administration [6,15,16,17]. Specifically, risperidone is suitable for ASD patients with high aggression and irritability, and can control severe behavioral problems in the short-term. Due to its good tolerability and lower incidence of metabolic side effects, aripiprazole is more suitable for patients in need of long-term management [32].
Studies have confirmed the efficacy of risperidone and aripiprazole in alleviating ASD symptoms. McCracken et al. conducted an 8-week randomized, double-blind, placebo-controlled trial to evaluate the positive effects of risperidone [33]. After treatment, the irritability scores in the risperidone group significantly improved, with a higher positive response rate compared to the placebo group. In some patients, the effects lasted nearly six months. Similarly, Marcus et al. assessed the efficacy of different doses of aripiprazole in alleviating irritability symptoms in adolescents with ASD [34]. The study found that all tested safe doses were significantly better than the placebo.
Newer atypical antipsychotics (brexpiprazole [35,36], cariprazine [37,38], lurasidone [39], etc.) have gradually been developed and applied [40,41,42], and their efficacy needs further investigation. For example, Yeung et al. evaluated the safety and tolerability of cariprazine in children with ASD [37]. The pharmacokinetic characteristics of cariprazine and its metabolites in children with ASD were characterized at doses of 3 mg QD (ages 13–17) and 1.5 mg QD (ages 5–12). Overall, cariprazine treatment was well tolerated, providing a basis for selecting appropriate pediatric doses in subsequent studies. However, related research has shown that brexpiprazole did not demonstrate significant efficacy in treating irritability associated with ASD [43].
In summary, atypical antipsychotics are effective and fast-acting in behavior management, providing a crucial time window for implementing other interventions [44]. However, their efficacy in addressing the core symptoms of ASD is limited, and they come with certain side effects, such as weight gain and drowsiness. Long-term use may lead to metabolic syndrome. Some medications may also increase the risk of arrhythmia, potentially leading to sudden cardiac arrest [45].

2.2. Stimulant

Stimulant medications work by increasing levels of dopamine and norepinephrine to improve attention and impulse control [18,19]. Studies have shown that approximately 30% to 50% of ASD patients may also exhibit symptoms of attention deficit/hyperactivity disorder (ADHD), such as impulsivity, inattention, and hyperactivity [46,47]. Therefore, stimulant medications are sometimes used to alleviate related symptoms in ASD patients [20,48].
In clinical practice, commonly used stimulant medications include methylphenidate and amphetamine-based drugs. Sturman et al. conducted a systematic review on the efficacy of methylphenidate in ASD patients aged 6 to 18 years [21]. They found that methylphenidate has a certain efficacy in alleviating symptoms of inattention, impulsivity, and hyperactivity, but it does not have a significant impact on the core symptoms of ASD. Additionally, stimulant medications may cause serious side effects, including appetite loss, sleep disturbances, and irritability [20]. Nevertheless, stimulants remain an important option for treating ADHD symptoms in individuals with ASD [6].

2.3. Antidepressant

Antidepressants primarily alleviate symptoms of depression and anxiety by increasing serotonin levels [22,23]. Selective serotonin reuptake inhibitors (SSRIs) are the most commonly used class of antidepressants in clinical practice [49]. Commonly used SSRIs include sertraline, fluoxetine, and fluvoxamine [24,25].
Steingard et al. demonstrated that short-term treatment with sertraline may reduce behavioral responses during situational transitions in children with ASD [50]. Hollander et al. [23] and Reddihough et al. [51] respectively confirmed that fluoxetine can reduce repetitive and compulsive behaviors in ASD patients. McDougle et al. found that fluvoxamine has certain efficacy in reducing perseverative thoughts and behaviors and alleviating aggression behaviors [52]. Similarly, the adverse effects caused by SSRIs are noteworthy, such as sleep disturbances, gastrointestinal discomfort [53], and in some cases, potential worsening of behavior.
Newer antidepressant (venlafaxine, desvenlafaxine [24], vortioxetine [54], etc.) have gradually been developed. Carminati et al. [55] objectively assessed the efficacy of low-dose venlafaxine treatment on behavioral improvement in adults with ASD through a randomized double-blind study. Principal component analysis revealed statistically significant differences between the venlafaxine group and the placebo group. This result statistically confirms that venlafaxine provides a new pharmacological avenue for addressing behavioral disorders in patients with intellectual disabilities and ASD.

2.4. Neuroendocrinological Therapies

Neuroendocrine products have also been found to have the potential to improve symptoms of ASD. For example, oxytocin can enhance social interactions and reduce repetitive behaviors in individuals with ASD [26,27]. Bumetanide [28], by indirectly enhancing the inhibitory effects of γ-aminobutyric acid, may reduce repetitive behaviors and improve emotion recognition [56,57,58]. Cannabidiol has shown improvements in behavior and social communication for ASD [29,30]. Hormonal medications can improve repetitive behaviors and hyperactivity [31]. Additionally, glutamate-related medications, by regulating the balance of neural excitation and inhibition, have some efficacy in improving social behavior [59,60,61,62]. Nutritional supplements, such as vitamin D [63,64] and melatonin [65,66], are believed to have auxiliary effects in improving sleep, behavior regulation, and cognitive function. Although these medications have shown some therapeutic potential, they are still in the experimental validation stage and have not yet been officially approved for treatment. Therefore, their efficacy still requires further validation through high-quality randomized controlled trials [48].

2.5. Advantages, Limitations, and Development Directions

Pharmacological treatment alleviates and manages comorbid symptoms of ASD by modulating neurotransmitters, emotional states, and behaviors [6,11,12]. This approach works quickly and is suitable for individuals with severe behavioral issues. However, it has limited effectiveness in improving the core symptoms of ASD and presents potential side effects [20,45,53] (See Table 1). Future research could focus on developing new targeted therapies, such as neurotransmitter-targeting drugs, and longitudinal follow-up studies to assess their long-term impact on core symptoms and disease progression. Additionally, there should be a systematic monitoring of adverse drug reactions, development of risk prediction models, and exploration of personalized dosage delivery models to minimize individual side effects.

3. Behavioral Intervention

Behavioral interventions aim to improve social skills and reduce problematic behaviors in individuals with ASD by altering behavior patterns. It primarily includes two approaches: applied behavior analysis (ABA) and naturalistic developmental behavioral interventions (NDBIs).

3.1. Applied Behavior Analysis

ABA emphasizes intervention in a structured environment, adult-led, with clear goals, focusing on behavior improvement, and is suitable for all age groups [143]. Its representative techniques include discrete trial training (DTT) and early intensive behavioral intervention (EIBI). DTT is a highly structured teaching strategy that breaks down target skills into small units and teaches them through repeated trials. EIBI, on the other hand, is a more comprehensive intervention approach that aims to enhance the overall functioning of children with ASD through early intensive intervention [67]. Existing research indicates that ABA has significant efficacy in improving social skills, language development, learning abilities, and adaptive behaviors in individuals with ASD [68,69,70]. However, the high-intensity training involved may impose a substantial burden on families, making it challenging to widely promote and implement on a large scale [71,72,73,74].

3.2. Naturalistic Developmental Behavioral Interventions

NDBIs focus on intervention in a natural environment, child-led, with an emphasis on improvements in social-emotional skills, and are often used during early childhood [7,144]. Representative methods include the early start Denver model (ESDM) [145,146], pivotal response treatment (PRT) [147,148], and joint attention symbolic play engagement and regulation (JASPER) [149,150]. Among these, ESDM focuses on individualized intervention and parental involvement [75]. PRT targets key developmental areas, using natural reinforcement strategies to promote the development of language and social skills [76]. JASPER focuses on enhancing joint attention and play skills in children with ASD [77].
Related research confirms that NDBIs have positive effects on language, cognitive, social communication, and adaptive behaviors in children with ASD [78,79]. For example, Dawson et al. conducted a two-year randomized controlled trial to evaluate the positive effects of ESDM on children with ASD aged 18 to 30 months [80]. The study found significant improvements in the combined standard scores on the Mullen scales of early learning and the vineland adaptive behavior scales in the ESDM group, indicating that ESDM can significantly improve cognitive function, adaptive behavior, and diagnostic severity in young children with ASD. Hardan et al. compared the effectiveness of PRT and psychoeducation in improving language impairments in children with ASD [81]. The study found that the PRT group showed significant improvements in observational measures compared to the psychoeducation group. This result indicates that PRT interventions can promote skill acquisition in functional and adaptive communication for both parents and children. Kasari et al. compared the effects of JASPER and psychoeducation on children with ASD aged 22 to 36 months. The results showed that JASPER, which targets core deficits, can sustainably improve social interaction skills in children with ASD [82].
It is undeniable that the above studies are based on small samples and have short follow-up periods, and the long-term efficacy of NDBIs requires further in-depth investigation [79,151]. Additionally, the involvement of families and communities is crucial, which is influenced by cultural and socioeconomic factors, presenting significant challenges for implementation in low- and middle-income countries [152,153].

3.3. Advantages, Limitations, and Development Directions

Behavioral interventions provide structured training protocols that can be adjusted according to individual needs, serving as the cornerstone of early intervention [7,143,144]. Behavioral interventions require long-term participation from the affected children, making them difficult to implement in resource-limited environments. Their effectiveness is highly dependent on the professional level of the therapists and the intensity of the intervention, with significant variability in individual outcomes. For example, the high repetitiveness and structured training in ABA may lead to resistance behaviors in children [71,72,73,74]. Future efforts should aim to develop low-cost, scalable intervention models, such as parent-led or community-supported interventions, to improve accessibility in resource-limited settings [152,153]. The integration of AI-assisted interventions and remote guidance systems may help standardize implementation while identifying key factors contributing to individual treatment response variability.

4. Traditional Chinese Medicine

TCM believes that the main cause of ASD is brain dysfunction, and it is closely related to the functions of the heart, liver, spleen, and kidneys [154,155]. TCM emphasizes the concept of entirety and individual treatment. In clinical research on ASD, TCM treatments mainly include acupuncture [83,84,85,156], Chinese herbal medicine [8,94,96,157,158,159], and comprehensive therapy [97,98,99]. Acupuncture involves inserting fine needles at specific angles into designated acupoints and manipulating them in certain ways to stimulate meridians and achieve therapeutic effects [8,160]. Chinese herbal medicine treatment is usually based on syndrome differentiation and includes patterns such as liver dysfunction and heart-spleen deficiency [8]. Comprehensive therapy integrates multiple TCM treatment methods to synergistically enhance the therapeutic effects on ASD [161].

4.1. Acupuncture

Acupuncture therapy for ASD includes scalp acupuncture, body acupuncture, and ear acupuncture, and other acupoint selection therapies based on individualized diagnosis. Among these, scalp acupuncture is the most widely used [83,84], with Jin’s three-needle technique being representative [85].
Yuan et al. compared the efficacy of Jin’s three-needle acupuncture and behavioral intervention in the treatment of children with severe autism [86]. The Jin’s three-needle group (n = 35) received acupuncture treatment with needles retained for 30–60 min once daily, six times a week, for 40 weeks. The behavioral intervention group (n = 34) received comprehensive intervention therapy. Results showed significant improvements in the total scores on the childhood autism rating scale (CARS) in both groups after treatment, but Jin’s three-needle group exhibited greater improvement, shorter onset time, and a significantly higher effective rate of 97.1%. This study indicates that Jin’s three-needle acupuncture can effectively improve symptoms in children with severe autism, with rapid onset and high efficiency. Wong et al. evaluated the efficacy of electroacupuncture [87]. Compared to the sham electroacupuncture group, the treatment group showed significant improvements on multiple autism assessment scales. In addition, other registered studies related to acupuncture techniques have been gradually initiated [4]. Some studies are currently ongoing (registration numbers: ChiCTR2100047559, ChiCTR2000029357, ChiCTR1900023247, ChiCTRINR-17012642, ChiCTR-IPR-17010558, ChiCTR-IOR-16010252), while some studies have been completed (registration numbers: ChiCTR2200056901, NCT00935701, NCT00352352, NCT00352248, NCT00355329, NCT00346736), and the results have not yet been reported.
Relevant animal experiment results indicate that certain treatments can improve the behavioral performance of ASD model rats. For instance, Jia et al. [88] found that Yu-Mu-Tiao-Shen acupuncture can regulate the expression of related proteins in autism model rats, modulate synaptic plasticity in the hippocampus and prefrontal neurons, and effectively enhance motor, social cognition, and spatial memory abilities in ASD rats. Functional imaging studies confirmed that acupuncture specifically activates the left hippocampus and bilateral pons, enhancing the functional connectivity between the parietal and frontal lobes, thereby improving language cognition abilities [89]. Acupuncture improves autism-like behaviors by repairing synaptic function of prefrontal neurons and regulating immune inflammation [90].
Most of the current research employs three or more scales for a comprehensive assessment of the results [162]. Although these scales effectively integrate information from patients, parents, and doctors, they are still insufficient to support the efficacy of acupuncture in the treatment of ASD. Relevant studies provide objective evidence for the effectiveness of acupuncture in the treatment of ASD. For example, Zhang et al. [91] measured plasma levels of AVP and OXT in patients post-treatment, which helps explore the potential mechanisms of acupuncture in ASD, particularly concerning the relevant acupoints from a modern medical perspective. Additionally, Zhao et al. [92] utilized SPECT to evaluate the efficacy of acupuncture in ASD, while Chan et al. [93] used quantitative electroencephalography to measure neurophysiological changes in patients to assess the effectiveness of acupuncture in ASD.
Acupuncture has shown considerable potential in improving autism symptoms, but its limitations cannot be ignored. Acupuncture is often accompanied by pain and fear, leading to low cooperation from children and an increased risk of adverse events, such as needle breakage. Electroacupuncture has a strong stimulation intensity and is not suitable for patients with arrhythmias or epilepsy. Additionally, acupuncture requires practitioners to possess high professional skills, and there is no standardized acupuncture protocol yet [156].

4.2. Chinese Herbal Medicine

Chinese herbal medicine exerts therapeutic effects on different types and stages of autism through synergistic regulation involving multiple components, multiple targets, and multiple pathways [158]. Commonly used medicines include Poria, Acorus calamus, Ginseng, Licorice, and Angelica, among others [94,95].
Cao et al. [96] conducted a nearly four-month controlled trial to evaluate the efficacy of Yangxin Kangpi decoction combined with intervention training in treating children with autism characterized by heart-spleen deficiency. The results showed significant improvement in the CARS scores of the patients. Chinese herbal medicine can promote overall improvement in the physical functions of patients. Compared to Western medicine, TCM generally has fewer side effects and is better tolerated by children, making it more suitable for long-term treatment. However, the distinctive smell of Chinese herbal medicine preparations may negatively impact children’s compliance with oral administration [8,159].

4.3. Comprehensive Therapy

Related studies indicate that comprehensive therapy may enhance treatment efficacy [97,98,99]. For example, Liu et al. [97] demonstrated that Tuina (Chinese therapeutic massage) combined with acupuncture could improve behavioral scale scores in autistic patients, with its efficacy surpassing that of acupuncture alone. Fan et al. [98] showed that acupuncture combined with Chinese herbal medicine and modern rehabilitation therapy had significantly better outcomes than rehabilitation therapy alone. Li et al. [99] applied a combination approach of Chinese herbal medicine, acupuncture, and Tuina, effectively improving clinical symptoms and enhancing patients’ language and motor abilities.
It should be noted that children whose language systems are not fully developed may not be able to accurately express discomfort experienced during treatment. Furthermore, their delicate skin and lower tolerance may increase the risk of injury [163]. Therefore, during interventions, it is essential to strictly adhere to professional guidelines based on the specific conditions of the patients to ensure both efficacy and safety.

4.4. Advantages, Limitations, and Development Directions

TCM integrates holistic treatment principles and syndrome differentiation [154,155]. It requires high-level professional skills from practitioners, and there is currently no international standardized acupuncture protocol [156]. The unique smell of herbal formulations may reduce treatment adherence in children; thus, innovating Chinese medicine to improve medication adherence is necessary. Future cross-cultural studies should develop explanatory frameworks that adapt to different cultural backgrounds, promoting international standardization. This includes aspects such as acupoints, acupuncture techniques, needle retention time, and stimulation frequency.

5. Neuromodulation Technique

Neuromodulation techniques aim to improve ASD symptoms by modulating neural system activities, and are divided into exogenous neuromodulation technologies (passive approach) and endogenous neuromodulation technologies (active approach), as shown in Figure 2. Exogenous neuromodulation techniques, such as repetitive transcranial magnetic stimulation (rTMS) [100,164,165] and transcranial direct current stimulation (tDCS) [101,166,167,168], regulate cortical excitability by applying magnetic or electric fields to specific brain regions, thereby improving the behavioral symptoms of individuals with ASD. In these techniques, patients passively receive regulation. Endogenous neuromodulation techniques, such as neurofeedback, improve related symptoms through self-regulation, inducing neuroplastic changes [169]. This approach emphasizes the active participation of patients in the regulation process.

5.1. Exogenous Neuromodulation Technology

Research has confirmed that targeted stimulation of the unilateral or bilateral dorsolateral prefrontal cortex (DLPFC) can improve executive function and emotional regulation [164]. Stimulating the temporoparietal junction, posterior superior temporal sulcus, and inferior parietal lobule can enhance social cognition and behavior in individuals with autism [165]. Kang et al. [100] evaluated the therapeutic efficacy of 1 Hz rTMS stimulation on children with ASD. In this study, children with ASD accompanied by intellectual disability underwent neuroregulation for approximately 10 min per session, twice a week, for a total of 18 sessions. Electroencephalogram (EEG) features such as recurrence rate, determinism, and mean diagonal length were used as evaluation indicators. The results showed that after the intervention, the recurrence rate and determinism of the children significantly decreased, and there was a significant improvement in the aberrant behavior checklist scores. These findings suggest that rTMS improves the behavior of children with autism by normalizing brain activity.
tDCS may enhance functional brain connectivity [166], improve behavioral and cognitive symptoms [101], enhance social functioning [167,168], and reduce social withdrawal in individuals with autism [170,171]. Stimulation targets include the DLPFC [164,172], the right temporoparietal junction [173,174], and the supplementary motor area. Hadoush et al. studied the efficacy of bilateral anodal tDCS stimulating the DLPFC and motor cortex in improving ASD symptoms [101]. The tDCS group received bilateral anodal stimulation for 20 min per session, five times a week, for two weeks, while the control group received sham stimulation. The results showed that compared to the control group, the tDCS group had significantly lower scores on the autism treatment evaluation checklist in the subscales of sociability and health/physical/behavior. This study suggests that bilateral anodal tDCS has beneficial therapeutic effects in improving symptoms in children with ASD. Additionally, Amatachaya et al. [102] and Costanzo et al. [103] also pointed out that tDCS could be a promising tool for autism treatment.
In summary, rTMS shows significant potential in improving irritability, repetitive, compulsive, and stereotyped behaviors in autism patients, with good safety and tolerability. However, individual variability in efficacy exists [175]. Compared to rTMS, tDCS is more portable and easier to operate, with a lower incidence of side effects [176,177]. The effectiveness of exogenous modulation methods is influenced by factors such as the stimulation target, intensity, and frequency, and there are no universally accepted treatment parameters yet. Additionally, the long-term effects still need further validation [178], and there are contraindications for patients with ASD who have comorbid epilepsy.

5.2. Endogenous Neuromodulation Technology

Endogenous neuromodulation is based on the principles of operant conditioning and neuroplasticity [179]. Neurofeedback guides subjects to self-regulate by real-time monitoring, extraction, and feedback of specific neurophysiological signals, inducing functional or structural neural changes [10,107,180,181]. Neurofeedback can effectively improve attention, cognitive flexibility, social behavior, and adaptive functioning in individuals with autism [105,181,182,183].
Kouijzer et al. explored the beneficial effects of EEG-neurofeedback on the executive functions of children with autism [104]. The intervention group received a standardized ADHD neurofeedback protocol twice a week, for 30 min each session, for a total of 40 sessions. The control group did not receive any intervention during the study period. The study found that after treatment, core symptoms of the intervention group, including social interaction, communication, and stereotyped behavior, significantly improved. Improvements were maintained for a year [105]. These results indicate that EEG-neurofeedback can effectively improve the executive functions of children with ASD, with lasting effects. Additionally, the feasibility of improving autism symptoms using fMRI-neurofeedback [106] and fNIRS-neurofeedback [107] has also been confirmed.
In conclusion, endogenous neuromodulation has shown significant effectiveness in improving clinical symptoms in individuals with autism and demonstrates some long-term maintenance effects [184]. Neurofeedback avoids potential side effects and addiction risks associated with drug treatments. However, most studies have small sample sizes and mainly focus on high-functioning individuals with autism (IQ > 70) [185,186], and the efficacy for low-functioning groups requires further validation.

5.3. Advantages, Limitations, and Development Directions

Neuroregulation techniques, based on principles of operant conditioning and neuroplasticity, improve the behavior and cognition of individuals with ASD [164,169,179]. However, the high cost and technical demands of neuroregulation technology limit its widespread use in routine clinical practice. Additionally, standardized treatment protocols have not yet been established, including aspects such as stimulation sites, frequency, and intensity [175,178]. In the future, large sample datasets can be used to construct stimulus-response models, optimize or standardize key treatment parameters, develop personalized training paradigm libraries, and integrate intelligent assessment and auxiliary intervention tools to achieve comprehensive monitoring of the rehabilitation process. This will provide more efficient and precise personalized rehabilitation strategies for individuals with ASD. Moreover, it will lay the foundation for elucidating the rehabilitation mechanisms of ASD.

6. Complementary and Alternative Medicine

CAM refers to diagnostic and therapeutic approaches and methods that are outside the mainstream medical system, used to supplement or replace conventional treatment methods [187]. Common CAM methods used for ASD treatment include music therapy (MT), animal-assisted intervention (AAI), and exercise intervention, which improve social interaction and communication abilities of autism by promoting emotional expression, social participation, and sensory integration.

6.1. Music Therapy

MT includes improvisational music therapy, family-centered music therapy, group music therapy, and mimic music therapy [188,189,190]. Related studies indicate that MT can enhance attention [108], improve emotional recognition and understanding [109,110], promote social behavior [111,112], and strengthen parent-child relationships [113,114]. For example, Thompson et al. [114] demonstrated that family-centered music therapy significantly improved the socio-emotional functioning and parent-child interaction in children with autism. Lagasse et al. [108] confirmed that group music therapy significantly enhanced joint attention and eye contact in children with autism. Forti et al. [115] showed that sound beam mimic intervention significantly improved the mimic accuracy and sustained social attention in children with autism. Existing reviews indicate that most studies based on music therapy primarily assess efficacy using scales [191,192]. Some studies have shown that music therapy also activates emotional and related reward circuits, including the ventral tegmental area, striatum, amygdala, prefrontal cortex, and orbitofrontal cortex [116]. Structural and functional changes have also been observed in brain regions involved in social communication and emotional skills [117,118].
The efficacy of MT is somewhat controversial. Bieleninik et al. conducted a large, multinational, multicenter randomized controlled trial (n = 364) to evaluate the effects of improvisational MT on the broad social communication skills of children with autism [119]. The study found no significant improvement in autism diagnostic observation schedule scores before and after treatment or compared to standard care. Currently, most MT studies have small sample sizes, lack rigorous control group designs, and standardization of parameters [193,194,195].

6.2. Animal-Assisted Intervention

Dogs, horses, and dolphins are the most commonly used animals in AAI [196,197,198]. Gabriels et al. [120] demonstrated through a large-scale, 10-week randomized controlled trial (n = 116) that horse-assisted therapy significantly improved social cognition, social communication, and expressive language abilities in individuals with autism. Hernández-Espeso et al. [121] showed that a 6-week dolphin-assisted therapy program significantly improved the social and communication skills of individuals with autism. Ben-Tzchak et al. [122] found that a four-month dog-assisted intervention significantly enhanced social, communication, and motor skills in individuals with autism. Although most AAI studies reported positive effects on social and communication skills in individuals with autism, the impact on restrictive and repetitive behaviors was generally not significant [123,124].

6.3. Exercise Intervention

Exercise interventions have gained widespread attention in autism treatment [199,200,201,202] due to their low cost, ease of implementation, and high acceptance [203], though the underlying neurobiological mechanisms remain unclear [125,200]. Current research indicates that physical activities [125,126] such as swimming, jogging, soccer, and yoga can help improve stereotyped behaviors [127,128], social interaction [129,130,131,132], cognitive flexibility [133,134], and sleep disorders [135,136] in individuals with autism. Sandplay therapy can improve social communication deficits [137] and social interaction [138,139] in children with autism. Moreover, art therapies such as painting, clay modeling, and drama show potential benefits in autism treatment [140,141,142].

6.4. Advantages, Limitations, and Development Directions

CAM involves multi-sensory integration and shows considerable potential in alleviating core symptoms and comorbidities of ASD [187]. CAM is characterized by low risk and patient-friendliness, further enriching the intervention techniques for ASD. Future research should consider integrating neuroimaging technologies to explore the potential neural mechanisms and provide empirical support for the design of scientifically effective intervention programs.

7. Discussion

Currently, there is no consensus on the etiology and pathogenesis of ASD, and effective biological markers are lacking. Moreover, the heterogeneity of the disorder is significant, with severity ranging from mild to severe, often accompanied by various functional impairments or deficits, which notably affects the formulation of treatment intervention plans and results in unsatisfactory efficacy. This review systematically summarizes and analyzes five types of ASD treatments, each based on different theoretical mechanisms, with varying advantages and disadvantages in addressing the core symptoms and comorbidities of ASD. Similarly, these intervention methods share some common issues in research. For example, they lack standardized treatment protocols, have considerable variability in treatment parameters, involve small sample sizes, and use inconsistent evaluation metrics, limiting comparability and reproducibility. Additionally, efficacy assessments often rely on scales, which are subjective and lack objective, quantitative physiological evaluation indicators. Moreover, most studies focus on short-term efficacy, and the long-term effects remain to be thoroughly investigated. The quantitative relationships between the mechanisms of various intervention methods and the neurobiological basis of ASD (such as abnormal neural connectivity patterns or excitation-inhibition imbalance) have not been fully elucidated.
Due to the lack of specific treatment methods, behavioral interventions and education remain the primary approaches for managing ASD, aiming to maximize the child’s self-care abilities and quality of life while also promoting social skills and communication, leveraging individual strengths, and reducing disability and comorbidity rates. Early intervention is a fundamental principle. Currently, the various popular intervention measures are of varying quality, and there are very few effective interventions proven through evidence-based practice (EBP), leading to ongoing controversies in efficacy evaluation. Treatment for ASD primarily relies on behavioral interventions and education, supplemented by symptomatic medication.
There are numerous behavioral intervention techniques, but they must adhere to individualized, multidimensional, and multidisciplinary approaches, taking into account the reliability of the evidence supporting the interventions. Methods proven effective through EBP should be prioritized, combined with various approaches for comprehensive intervention, and should be flexibly implemented with a focus on specific aspects as necessary. Currently, the interventions with EBP support mainly consist of behavioral therapies. There are no medications available that can improve the core symptoms of ASD; instead, medications are primarily used to address accompanying behavioral and emotional disorders. Pharmacological treatment must weigh the benefits and risks to make optimal clinical decisions. Other popular methods, such as neuroregulation, acupuncture, and CAM, which lack EBP support, have not yet met the standards for clinical promotion and application.
We recommend conducting large-sample, multi-center, and long-term studies in the future to identify critical intervention windows at different developmental stages, systematically evaluate the long-term impacts of various intervention methods on cognitive, behavioral, and other aspects, and provide a basis for precision treatment. Secondly, develop precision intervention pathways and models and construct personalized intervention decision models based on clinical characteristics, neurophenotypes, and environmental factors as well as develop dynamic adjustment mechanisms to optimize intervention plans at different stages of rehabilitation. Thirdly, establish a systematic intervention effect evaluation framework, strengthen the exploration and validation of quantitative biomarkers to improve the objectivity and accuracy of outcome assessments, and facilitate meta-analyses and cross-study comparisons. Additionally, include comorbid symptoms in the evaluation framework to examine their interactions with core ASD symptoms. Finally, establish data-sharing platforms to study the applicability of different intervention methods in various cultural contexts, adjust optimal treatment plans to align with local values and resource availability, and construct a more inclusive and effective global ASD intervention system.

Author Contributions

Conceptualization, Y.H.; methodology, Y.H.; validation, S.B.; formal analysis, Y.H.; investigation, Y.H.; data curation, Y.H. and M.X.; writing—original draft preparation, Y.H.; writing—review and editing, H.Q., D.L., D.W. and M.X.; visualization, M.X.; supervision, M.X.; project administration, M.X.; funding acquisition, M.X. All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Research Funding of Hangzhou International Innovation Institute of Beihang University (grant number 2024KQ098), the China Disabled Persons’ Federation special topic (grant number CDPF2023KF00001), the National Natural Science Foundation of China (grant number 8246140544), and the Major Science and Technology Special Program of Jiangsu Province (BG2024025).

Informed Consent Statement

Not applicable.

Data Availability Statement

No new data were created or analyzed in this study. Data sharing is not applicable to this article.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Smith, J.V.; Howard, M.; Menezes, M.; Burroughs, C.; Pappagianopoulos, J.; Sastri, V.; Brunt, S.; Miller, R.; Parenchuk, A.; Kuhn, J.; et al. Building capacity: A systematic review of training in the diagnosis of autism for community-based clinicians. Autism Res. 2025, 18, 690–709. [Google Scholar] [CrossRef]
  2. Zeidan, J.; Fombonne, E.; Scorah, J.; Ibrahim, A.; Durkin, M.S.; Saxena, S.; Yusuf, A.; Shih, A.; Elsabbagh, M. Global prevalence of autism: A systematic review update. Autism Res. 2022, 15, 778–790. [Google Scholar] [CrossRef] [PubMed]
  3. Barlattani, T.; D’Amelio, C.; Cavatassi, A.; Luca, D.D.; Stefano, R.D.; Berardo, A.D.; Mantenuto, S.; Minutillo, F.; Leonardi, V.; Renzi, G.; et al. Autism spectrum disorders and psychiatric comorbidities: A narrative review. J. Psychopathol. 2023. [Google Scholar] [CrossRef]
  4. Rashmi, B.; Shivani, A. A new approach to hypobaric hypoxia induced cognitive impairment. Indian. J. Med. Res. 2012, 136, 365–367. [Google Scholar]
  5. Alnemary, F.M.; Aldhalaan, H.M.; Simon-Cereijido, G.; Alnemary, F.M. Services for children with autism in the Kingdom of Saudi Arabia. Autism 2016, 21, 592–602. [Google Scholar] [CrossRef] [PubMed]
  6. Aishworiya, R.; Valica, T.; Hagerman, R.; Restrepo, B. An update on psychopharmacological treatment of autism spectrum disorder. Neurotherapeutics 2022, 19, 248–262. [Google Scholar] [CrossRef]
  7. Schreibman, L.; Dawson, G.; Stahmer, A.C.; Landa, R.; Rogers, S.J.; McGee, G.G.; Kasari, C.; Ingersoll, B.; Kaiser, A.P.; Bruinsma, Y.; et al. Naturalistic developmental behavioral interventions: Empirically validated treatments for autism spectrum disorder. J. Autism Dev. Disord. 2015, 45, 2411–2428. [Google Scholar] [CrossRef]
  8. Tan, H.W.; Zhao, Z.M.; Han, Y.J.; Tai, X.T. Research progress in traditional Chinese medicine treatment of autistic spectrum disorders. J. Guangzhou Univ. Tradit. Chin. Med. 2021, 38, 647–650. [Google Scholar]
  9. Hodaj, H.; Payen, J.F.; Mick, G.; Vercueil, L.; Hodaj, E.; Dumolard, A.; Noelle, B.; Delon-Martin, C.; Lefaucheur, J.P. Long-term prophylactic efficacy of transcranial direct current stimulation in chronic migraine. A randomised, patient-assessor blinded, sham-controlled trial. Brain Stimul. 2022, 15, 441–453. [Google Scholar] [CrossRef]
  10. Sitaram, R.; Ros, T.; Stoeckel, L.; Haller, S.; Scharnowski, F.; Lewis-Peacock, J.; Weiskopf, N.; Blefari, M.L.; Rana, M.; Oblak, E.; et al. Closed-loop brain training: The science of neurofeedback. Nat. Rev. Neurosci. 2017, 18, 86–100. [Google Scholar] [CrossRef]
  11. Clevenger, S.; Palffy, A.; Popescu, R. 6.12 Pharmacological Treatments for the Core Symptoms of Autism Spectrum Disorder: A Systematic Review. J. Am. Acad. Child. Adolesc. Psychiatry 2021, 60, S161–S162. [Google Scholar] [CrossRef]
  12. Jung, H.Y.; Lee, J. Psychopharmacotherapy for children with autism spectrum disorder can improve their adaptive functioning. Int. J. Neuropsychopharmacol. 2025, 28, i256. [Google Scholar] [CrossRef]
  13. Grinchii, D.; Dremencov, E. Mechanism of action of atypical antipsychotic drugs in mood disorders. Int. J. Mol. Sci. 2020, 21, 9532. [Google Scholar] [CrossRef]
  14. Fraguas, D.; Correll, C.U.; Merchan-Naranjo, J.; Rapado-Castro, M.; Parellada, M.; Moreno, C.; Arango, C. Efficacy and safety of second-generation antipsychotics in children and adolescents with psychotic and bipolar spectrum disorders: Comprehensive review of prospective head-to-head and placebo-controlled comparisons. Eur. Neuropsychopharmacol. 2011, 21, 621–645. [Google Scholar] [CrossRef]
  15. Goel, R.; Hong, J.S.; Findling, R.L.; Ji, N.Y. An update on pharmacotherapy of autism spectrum disorder in children and adolescents. Int. Rev. Psychiatry 2018, 30, 78–95. [Google Scholar] [CrossRef] [PubMed]
  16. Jobski, K.; Hofer, J.; Hoffmann, F.; Bachmann, C. Use of psychotropic drugs in patients with autism spectrum disorders: A systematic review. Acta Psychiatr. Scand. 2017, 135, 8–28. [Google Scholar] [CrossRef] [PubMed]
  17. Alsayouf, H.A.; Talo, H.; Biddappa, M.L.; Qasaymeh, M.; Qasem, S.; De Los Reyes, E. Pharmacological intervention in children with autism spectrum disorder with standard supportive therapies significantly improves core signs and symptoms: A single-center, retrospective case series. Neuropsychiatr. Dis. Treat. 2020, 16, 2779–2794. [Google Scholar] [CrossRef] [PubMed]
  18. Schulz, K.P.; Fan, J.; Bedard, A.C.; Clerkin, S.M.; Ivanov, I.; Tang, C.Y.; Halperin, J.M.; Newcorn, J.H. Common and unique therapeutic mechanisms of stimulant and nonstimulant treatments for attention-deficit/hyperactivity disorder. Arch. Gen. Psychiatry 2012, 69, 952–961. [Google Scholar] [CrossRef]
  19. Swanson, J.; Baler, R.D.; Volkow, N.D. Understanding the effects of stimulant medications on cognition in individuals with attention-deficit hyperactivity disorder: A decade of progress. Neuropsychopharmacology 2011, 36, 207–226. [Google Scholar] [CrossRef]
  20. Rodrigues, R.; Lai, M.C.; Beswick, A.; Gorman, D.A.; Anagnostou, E.; Szatmari, P.; Anderson, K.K.; Ameis, S.H. Practitioner review: Pharmacological treatment of attention-deficit/hyperactivity disorder symptoms in children and youth with autism spectrum disorder: A systematic review and meta-analysis. J. Child. Psychol. Psychiatry 2021, 62, 680–700. [Google Scholar] [CrossRef]
  21. Sturman, N.; Deckx, L.; van Driel, M.L. Methylphenidate for children and adolescents with autism spectrum disorder. Cochrane Database Syst. Rev. 2017, 11, CD011144. [Google Scholar] [CrossRef]
  22. Hendren, R.L. Editorial: What to do about rigid, repetitive behaviors in autism spectrum disorder? J. Am. Acad. Child. Adolesc. Psychiatry 2021, 60, 22–23. [Google Scholar] [CrossRef]
  23. Hollander, E.; Soorya, L.; Chaplin, W.; Anagnostou, E.; Taylor, B.P.; Ferretti, C.J.; Wasserman, S.; Swanson, E.; Settipani, C. A double-blind placebo-controlled trial of fluoxetine for repetitive behaviors and global severity in adult autism spectrum disorders. Am. J. Psychiatry 2012, 169, 292–299. [Google Scholar] [CrossRef] [PubMed]
  24. Argonis, R.A.; Pedapati, E.V.; Dominick, K.C.; Harris, K.; Lamy, M.; Fosdick, C.; Schmitt, L.; Shaffer, R.C.; Smith, E.; Will, M.; et al. Patterns in medication use for treatment of depression in autistic spectrum disorder. J. Autism Dev. Disord. 2025, 55, 1969–1975. [Google Scholar] [CrossRef]
  25. Laux, G. Serotonin reuptake inhibitors: Citalopram, escitalopram, fluoxetine, fluvoxamine, paroxetine, and sertraline. In NeuroPsychopharmacotherapy; Springer: Berlin/Heidelberg, Germany, 2021; pp. 1–13. [Google Scholar]
  26. Ricchiuti, G.; Taillieu, A.; Tuerlinckx, E.; Prinsen, J.; Debbaut, E.; Steyaert, J.; Boets, B.; Alaerts, K. Oxytocin’s social and stress-regulatory effects in children with autism and intellectual disability: A protocol for a randomized placebo-controlled trial. BMC Psychiatry 2025, 25, 192. [Google Scholar] [CrossRef]
  27. Li, H.; Chen, Y.; Qiu, Y. Oxytocin lipidation expanding therapeutics for long-term reversal of autistic behaviors in rats. Int. J. Pharm. 2025, 672, 125299. [Google Scholar] [CrossRef]
  28. Fournier, L.; Guarnera, E.; Kolmar, H.; Becker, S. Allosteric antibodies: A novel paradigm in drug discovery. Trends Pharmacol. Sci. 2025, 46, 311–323. [Google Scholar] [CrossRef] [PubMed]
  29. Aran, A.; Harel, M.; Cassuto, H.; Polyansky, L.; Schnapp, A.; Wattad, N.; Shmueli, D.; Golan, D.; Castellanos, F.X. Cannabinoid treatment for autism: A proof-of-concept randomized trial. Mol. Autism 2021, 12, 6. [Google Scholar] [CrossRef] [PubMed]
  30. Pretzsch, C.M.; Voinescu, B.; Mendez, M.A.; Wichers, R.; Ajram, L.; Ivin, G.; Heasman, M.; Williams, S.; Murphy, D.G.; Daly, E.; et al. The effect of cannabidiol (CBD) on low-frequency activity and functional connectivity in the brain of adults with and without autism spectrum disorder (ASD). J. Psychopharmacol. 2019, 33, 1141–1148. [Google Scholar] [CrossRef]
  31. Kolevzon, A.; Breen, M.S.; Siper, P.M.; Halpern, D.; Frank, Y.; Rieger, H.; Weismann, J.; Trelles, M.P.; Lerman, B.; Rapaport, R.; et al. Clinical trial of insulin-like growth factor-1 in Phelan-McDermid syndrome. Mol. Autism 2022, 13, 17. [Google Scholar] [CrossRef] [PubMed]
  32. Ichikawa, H.; Mikami, K.; Okada, T.; Yamashita, Y.; Ishizaki, Y.; Tomoda, A.; Ono, H.; Usuki, C.; Tadori, Y. Aripiprazole in the treatment of irritability in children and adolescents with autism spectrum disorder in Japan: A randomized, double-blind, placebo-controlled study. Child. Psychiatry Hum. Dev. 2017, 48, 796–806. [Google Scholar] [CrossRef]
  33. McCracken, J.T.; McGough, J.; Shah, B.; Cronin, P.; Hong, D.; Aman, M.G.; Arnold, L.E.; Lindsay, R.; Nash, P.; Hollway, J.; et al. Risperidone in children with autism and serious behavioral problems. N. Engl. J. Med. 2002, 347, 314–321. [Google Scholar] [CrossRef] [PubMed]
  34. Marcus, R.N.; Owen, R.; Kamen, L.; Manos, G.; McQuade, R.D.; Carson, W.H.; Aman, M.G. A placebo-controlled, fixed-dose study of aripiprazole in children and adolescents with irritability associated with autistic disorder. J. Am. Acad. Child. Adolesc. Psychiatry 2009, 48, 1110–1119. [Google Scholar] [CrossRef]
  35. Parikh, P.; Mathew, N.M.; Lee, E.; Busaibe, Y.; Phagava, T.; Wang, E.; Bs, R.N.; Dua, S.S.; M, M.O. Management of dissociation in high-functioning autism adolescents. Int. J. Psychol. Res. 2025, 7, 123–126. [Google Scholar] [CrossRef]
  36. Meza, N.; Franco, J.V.A.; Sguassero, Y.; Núñez, V.; Escobar Liquitay, C.M.; Rees, R.; Williams, K.; Rojas, V.; Rojas, F.; Pringsheim, T.; et al. Atypical antipsychotics for autism spectrum disorder: A network meta-analysis. Cochrane Database Syst. Rev. 2025, 2025. [Google Scholar] [CrossRef]
  37. Yeung, P.P.; Johnson, K.A.; Riesenberg, R.; Orejudos, A.; Riccobene, T.; Kalluri, H.V.; Malik, P.R.; Varughese, S.; Findling, R.L. Cariprazine in Pediatric Patients with Autism Spectrum Disorder: Results of a Pharmacokinetic, Safety and Tolerability Study. J. Child. Adolesc. Psychopharmacol. 2023, 33, 232–242. [Google Scholar] [CrossRef]
  38. Findling, R.L.; Bozhdaraj, D.; Duffy, W.J.; Knutson, J.A.; Weinberg, M.S.; Rekeda, L.; Chen, C.; Smith, E.M.; Lucas, M.B. Cariprazine in the Treatment of Pediatric Patients With Irritability Associated With ASD: A Randomized Controlled Trial. J. Am. Acad. Child. Adolesc. Psychiatry 2025, 64, S331. [Google Scholar] [CrossRef]
  39. Aljead, M.; Qashta, A.; Jalal, Z.; Jones, A.M. Review of Autism Spectrum Disorder (ASD): Epidemiology, Aetiology, Pathology, and Pharmacological Treatment. Pharmaceuticals 2025, 18, 1644. [Google Scholar] [CrossRef]
  40. Cosme, R.; Dharmapuri, S. Reconceptualilzing agitation in autism as primary affective dysregulation: Case report and literature review of use of quetiapine in a patient with Treacher–Collins syndrome and autism. Eur. Psychiatry 2020, 41, S434. [Google Scholar] [CrossRef]
  41. Tural Hesapcioglu, S.; Ceylan, M.F.; Kasak, M.; Sen, C.P. Olanzapine, risperidone, and aripiprazole use in children and adolescents with Autism Spectrum Disorders. Res. Autism Spectr. Disord. 2020, 72, 101520. [Google Scholar] [CrossRef]
  42. Miuli, A.; Marrangone, C.; Di Marco, O.; Pasino, A.; Stigliano, G.; Mosca, A.; Pettorruso, M.; Schifano, F.; Martinotti, G. Could cariprazine be a possible choice for high functioning autism? A case report. Future Pharmacol. 2023, 3, 908–915. [Google Scholar] [CrossRef]
  43. Ward, C.; Childress, A.; Martinko, K.; Chen, D.; Larsen, K.G.; Shah, A.; Sheridan, P.; Hefting, N.; Knutson, J. Safety and Efficacy of Brexpiprazole in the Treatment of Irritability Associated with Autism Spectrum Disorder: An 8-Week, Phase 3, Randomized, Double-Blind, Placebo-Controlled Trial and 26-Week Open-Label Extension in Children and Adolescents. J. Child. Adolesc. Psychopharmacol. 2025, 35, 194–201. [Google Scholar] [CrossRef] [PubMed]
  44. Politte, L.C.; McDougle, C.J. Atypical antipsychotics in the treatment of children and adolescents with pervasive developmental disorders. Psychopharmacology 2014, 231, 1023–1036. [Google Scholar] [CrossRef] [PubMed]
  45. Ray, W.A.; Chung, C.P.; Murray, K.T.; Hall, K.; Stein, C.M. Atypical antipsychotic drugs and the risk of sudden cardiac death. N. Engl. J. Med. 2009, 360, 225–235. [Google Scholar] [CrossRef] [PubMed]
  46. Khachadourian, V.; Mahjani, B.; Sandin, S.; Kolevzon, A.; Buxbaum, J.D.; Reichenberg, A.; Janecka, M. Comorbidities in autism spectrum disorder and their etiologies. Transl. Psychiatry 2023, 13, 71. [Google Scholar] [CrossRef]
  47. Rong, Y.; Yang, C.-J.; Jin, Y.; Wang, Y. Prevalence of attention-deficit/hyperactivity disorder in individuals with autism spectrum disorder: A meta-analysis. Res. Autism Spectr. Disord. 2021, 83, 101759. [Google Scholar] [CrossRef]
  48. Howes, O.D.; Rogdaki, M.; Findon, J.L.; Wichers, R.H.; Charman, T.; King, B.H.; Loth, E.; McAlonan, G.M.; McCracken, J.T.; Parr, J.R.; et al. Autism spectrum disorder: Consensus guidelines on assessment, treatment and research from the British Association for Psychopharmacology. J. Psychopharmacol. 2018, 32, 3–29. [Google Scholar] [CrossRef]
  49. Nanjappa, M.S.; Voyiaziakis, E.; Pradhan, B.; Mannekote Thippaiah, S. Use of selective serotonin and norepinephrine reuptake inhibitors (SNRIs) in the treatment of autism spectrum disorder (ASD), comorbid psychiatric disorders and ASD-associated symptoms: A clinical review. CNS Spectr. 2022, 27, 290–297. [Google Scholar] [CrossRef]
  50. Steingard, R.J.; Zimnitzky, B.; DeMaso, D.R.; Bauman, M.L.; Bucci, J.P. Sertraline treatment of transition-associated anxiety and agitation in children with autistic disorder. J. Child. Adolesc. Psychopharmacol. 1997, 7, 9–15. [Google Scholar] [CrossRef]
  51. Reddihough, D.S.; Marraffa, C.; Mouti, A.; O’Sullivan, M.; Lee, K.J.; Orsini, F.; Hazell, P.; Granich, J.; Whitehouse, A.J.O.; Wray, J.; et al. Effect of Fluoxetine on Obsessive-Compulsive Behaviors in Children and Adolescents With Autism Spectrum Disorders: A Randomized Clinical Trial. JAMA 2019, 322, 1561–1569. [Google Scholar] [CrossRef]
  52. McDougle, C.J.; Naylor, S.T.; Cohen, D.J.; Volkmar, F.R.; Heninger, G.R.; Price, L.H. A double-blind, placebo-controlled study of fluvoxamine in adults with autistic disorder. Arch. Gen. Psychiatry 1996, 53, 1001–1008. [Google Scholar] [CrossRef]
  53. Sadler, T.W. Selective serotonin reuptake inhibitors (SSRIs) and heart defects: Potential mechanisms for the observed associations. Reprod. Toxicol. 2011, 32, 484–489. [Google Scholar] [CrossRef]
  54. Manter, M.A.; Birtwell, K.B.; Bath, J.; Friedman, N.D.B.; Keary, C.J.; Neumeyer, A.M.; Palumbo, M.L.; Thom, R.P.; Stonestreet, E.; Brooks, H.; et al. Pharmacological treatment in autism: A proposal for guidelines on common co-occurring psychiatric symptoms. BMC Med. 2025, 23, 11. [Google Scholar] [CrossRef]
  55. Carminati, G.G.; Gerber, F.; Darbellay, B.; Kosel, M.M.; Deriaz, N.; Chabert, J.; Fathi, M.; Bertschy, G.; Ferrero, F.; Carminati, F. Using venlafaxine to treat behavioral disorders in patients with autism spectrum disorder. Prog. Neuro-Psychopharmacol. Biol. Psychiatry 2016, 65, 85–95. [Google Scholar] [CrossRef]
  56. Lemonnier, E.; Villeneuve, N.; Sonie, S.; Serret, S.; Rosier, A.; Roue, M.; Brosset, P.; Viellard, M.; Bernoux, D.; Rondeau, S.; et al. Effects of bumetanide on neurobehavioral function in children and adolescents with autism spectrum disorders. Transl. Psychiatry 2017, 7, e1124. [Google Scholar] [CrossRef] [PubMed]
  57. Dai, Y.; Zhang, L.; Yu, J.; Zhou, X.; He, H.; Ji, Y.; Wang, K.; Du, X.; Liu, X.; Tang, Y.; et al. Improved symptoms following bumetanide treatment in children aged 3-6 years with autism spectrum disorder: A randomized, double-blind, placebo-controlled trial. Sci. Bull. 2021, 66, 1591–1598. [Google Scholar] [CrossRef] [PubMed]
  58. Hadjikhani, N.; Zurcher, N.R.; Rogier, O.; Ruest, T.; Hippolyte, L.; Ben-Ari, Y.; Lemonnier, E. Improving emotional face perception in autism with diuretic bumetanide: A proof-of-concept behavioral and functional brain imaging pilot study. Autism 2015, 19, 149–157. [Google Scholar] [CrossRef]
  59. Brignell, A.; Marraffa, C.; Williams, K.; May, T. Memantine for autism spectrum disorder. Cochrane Database Syst. Rev. 2022, 8, CD013845. [Google Scholar] [PubMed]
  60. Nikvarz, N.; Alaghband-Rad, J.; Tehrani-Doost, M.; Alimadadi, A.; Ghaeli, P. Comparing efficacy and side effects of memantine vs. risperidone in the treatment of autistic disorder. Pharmacopsychiatry 2017, 50, 19–25. [Google Scholar] [CrossRef]
  61. Berry-Kravis, E.; Hagerman, R.; Visootsak, J.; Budimirovic, D.; Kaufmann, W.E.; Cherubini, M.; Zarevics, P.; Walton-Bowen, K.; Wang, P.; Bear, M.F.; et al. Arbaclofen in fragile X syndrome: Results of phase 3 trials. J. Neurodev. Disord. 2017, 9, 3. [Google Scholar] [CrossRef]
  62. Veenstra-VanderWeele, J.; Cook, E.H.; King, B.H.; Zarevics, P.; Cherubini, M.; Walton-Bowen, K.; Bear, M.F.; Wang, P.P.; Carpenter, R.L. Arbaclofen in children and adolescents with autism spectrum disorder: A randomized, controlled, phase 2 trial. Neuropsychopharmacology 2017, 42, 1390–1398. [Google Scholar] [CrossRef]
  63. Jia, F.; Wang, B.; Shan, L.; Xu, Z.; Staal, W.G.; Du, L. Core symptoms of autism improved after vitamin D supplementation. Pediatrics 2015, 135, e196–e198. [Google Scholar] [CrossRef] [PubMed]
  64. Saad, K.; Abdel-Rahman, A.A.; Elserogy, Y.M.; Al-Atram, A.A.; Cannell, J.J.; Bjorklund, G.; Abdel-Reheim, M.K.; Othman, H.A.; El-Houfey, A.A.; Abd El-Aziz, N.H.; et al. Vitamin D status in autism spectrum disorders and the efficacy of vitamin D supplementation in autistic children. Nutr. Neurosci. 2016, 19, 346–351. [Google Scholar] [CrossRef] [PubMed]
  65. Gringras, P.; Nir, T.; Breddy, J.; Frydman-Marom, A.; Findling, R.L. Efficacy and safety of pediatric prolonged-release melatonin for insomnia in children with autism spectrum disorder. J. Am. Acad. Child. Adolesc. Psychiatry 2017, 56, 948–957.e4. [Google Scholar] [CrossRef] [PubMed]
  66. Malow, B.A.; Findling, R.L.; Schroder, C.M.; Maras, A.; Breddy, J.; Nir, T.; Zisapel, N.; Gringras, P. Sleep, growth, and puberty after 2 years of prolonged-release melatonin in children with autism spectrum disorder. J. Am. Acad. Child. Adolesc. Psychiatry 2021, 60, 252–261.e3. [Google Scholar] [CrossRef]
  67. Roane, H.S.; Fisher, W.W.; Carr, J.E. Applied behavior analysis as treatment for autism spectrum disorder. J. Pediatr. 2016, 175, 27–32. [Google Scholar] [CrossRef]
  68. Leaf, J.B.; Cihon, J.H.; Ferguson, J.L.; Milne, C.M.; Leaf, R.; McEachin, J. Advances in our understanding of behavioral intervention: 1980 to 2020 for individuals diagnosed with autism spectrum disorder. J. Autism Dev. Disord. 2021, 51, 4395–4410. [Google Scholar] [CrossRef]
  69. Portnova, G.V.; Ivanova, O.; Proskurnina, E.V. Effects of EEG examination and ABA-therapy on resting-state EEG in children with low-functioning autism. AIMS Neurosci. 2020, 7, 153–167. [Google Scholar] [CrossRef]
  70. Makrygianni, M.K.; Gena, A.; Katoudi, S.; Galanis, P. The effectiveness of applied behavior analytic interventions for children with Autism Spectrum Disorder: A meta-analytic study. Res. Autism Spectr. Disord. 2018, 51, 18–31. [Google Scholar] [CrossRef]
  71. Gitimoghaddam, M.; Chichkine, N.; McArthur, L.; Sangha, S.S.; Symington, V. Applied behavior analysis in children and youth with autism spectrum disorders: A scoping review. Perspect. Behav. Sci. 2022, 45, 521–557. [Google Scholar] [CrossRef]
  72. Lepri, A. Psychoeducational and behavioral interventions in autism spectrum disorder: Is the ABA method really the most effective? Psychiatr. Danub. 2024, 36, 203–204. [Google Scholar] [PubMed]
  73. Sulu, M.D.; Aydin, O.; Martella, R.C.; Erden, E.; Ozen, Z. A meta-analysis of applied behavior analysis-based interventions for individuals with Autism Spectrum Disorders (ASD) in Turkey. Rev. J. Autism Dev. Disord. 2024. [Google Scholar] [CrossRef]
  74. Eckes, T.; Buhlmann, U.; Holling, H.D.; Mollmann, A. Comprehensive ABA-based interventions in the treatment of children with autism spectrum disorder—A meta-analysis. BMC Psychiatry 2023, 23, 133. [Google Scholar] [CrossRef] [PubMed]
  75. Song, J.; Reilly, M.; Reichow, B. Overview of meta-analyses on naturalistic developmental behavioral interventions for children with autism spectrum disorder. J. Autism Dev. Disord. 2025, 55, 1–13. [Google Scholar] [CrossRef]
  76. McDaniel, J.; Yoder, P.; Crandall, M.; Millan, M.E.; Ardel, C.M.; Gengoux, G.W.; Hardan, A.Y. Effects of pivotal response treatment on reciprocal vocal contingency in a randomized controlled trial of children with autism spectrum disorder. Autism 2020, 24, 1566–1571. [Google Scholar] [CrossRef]
  77. Waddington, H.; Reynolds, J.E.; Macaskill, E.; Curtis, S.; Taylor, L.J.; Whitehouse, A.J. The effects of JASPER intervention for children with autism spectrum disorder: A systematic review. Autism 2021, 25, 2370–2385. [Google Scholar] [CrossRef]
  78. Estes, A.; Munson, J.; Rogers, S.J.; Greenson, J.; Winter, J.; Dawson, G. Long-term outcomes of early intervention in 6-year-old children with autism spectrum disorder. J. Am. Acad. Child. Adolesc. Psychiatry 2015, 54, 580–587. [Google Scholar] [CrossRef]
  79. Tiede, G.; Walton, K.M. Meta-analysis of naturalistic developmental behavioral interventions for young children with autism spectrum disorder. Autism 2019, 23, 2080–2095. [Google Scholar] [CrossRef]
  80. Dawson, G.; Rogers, S.; Munson, J.; Smith, M.; Winter, J.; Greenson, J.; Donaldson, A.; Varley, J. Randomized, controlled trial of an intervention for toddlers with autism: The Early Start Denver Model. Pediatrics 2010, 125, e17–e23. [Google Scholar] [CrossRef]
  81. Hardan, A.Y.; Gengoux, G.W.; Berquist, K.L.; Libove, R.A.; Ardel, C.M.; Phillips, J.; Frazier, T.W.; Minjarez, M.B. A randomized controlled trial of pivotal response treatment group for parents of children with autism. J. Child. Psychol. Psychiatry 2015, 56, 884–892. [Google Scholar] [CrossRef]
  82. Kasari, C.; Gulsrud, A.; Paparella, T.; Hellemann, G.; Berry, K. Randomized comparative efficacy study of parent-mediated interventions for toddlers with autism. J. Consult. Clin. Psychol. 2015, 83, 554–563. [Google Scholar] [CrossRef]
  83. Yau, C.H.; Ip, C.L.; Chau, Y.Y. The therapeutic effect of scalp acupuncture on natal autism and regressive autism. Chin. Med. 2018, 13, 30. [Google Scholar] [CrossRef]
  84. Geng, L.L.; Guo, Y.X.; Ma, Y.F.; Luo, S.J.; Liu, Q.S.; Jin, X.; Chen, Y.N. Review of TCM treatment in autism spectrum disorders. Guid. J. Tradit. Chin. Med. 2020, 26, 137–141. [Google Scholar]
  85. Sun, Z.R.; Lv, X.L.; Hao, J.S.; Yin, H.N.; Li, Z.X.; Zeng, X.X. Research overview of autism treated by scalp acupuncture. China J. Tradit. Chin. Med. Pharm. 2017, 32, 5499–5501. [Google Scholar]
  86. Yuan, Q.; Wang, R.C.; Wu, Z.F.; Zhao, Y.; Bao, X.J.; Jin, R. Observation on clinical therapeutic effect of JIN’s 3-needling therapy on severe autism. Chin. Acupunct. Moxibustion 2009, 29, 177–180. [Google Scholar]
  87. Wong, V.C.; Chen, W.-X.; Liu, W.-L. Randomized controlled trial of electro-acupuncture for autism spectrum disorder. Altern. Med. Rev. 2010, 15, 136–146. [Google Scholar]
  88. Jia, Q.F.; Wang, X.F.; Li, Z.H.; Li, W.J.; Jia, R.; Yue, Z.X.; Zhu, Z.J.; Ma, B.X. Study on the Therapeutic Effect of Yu-Mu-Tiao-Shen Acupuncture on Rats with Autism Spectrum Disorder. Neuropsychiatr. Dis. Treat. 2025, 21, 2195–2210. [Google Scholar] [CrossRef]
  89. Chen, S.J.; Huang, L.S.; Liu, G.H.; Kang, J.; Qian, Q.F.; Wang, J.R.; Wang, R.; Zheng, L.Z.; Wang, H.J.; Ou, P. Acupuncture Ameliorated Behavioral Abnormalities in the Autism Rat Model via Pathways for Hippocampal Serotonin. Neuropsychiatr. Dis. Treat. 2023, 19, 951–972. [Google Scholar] [CrossRef]
  90. Chen, S.; Wang, J.; Xiaofang, C.; Zhang, Y.; Hong, Y.; Zhuang, W.; Huang, X.; Kang, J.; Ou, P.; Huang, L. Chinese acupuncture: A potential treatment for autism rat model via improving synaptic function. Heliyon 2024, 10, e37130. [Google Scholar] [CrossRef] [PubMed]
  91. Zhang, R.; Jia, M.X.; Zhang, J.S.; Xu, X.J.; Shou, X.J.; Zhang, X.T.; Li, L.; Li, N.; Han, S.P.; Han, J.S. Transcutaneous electrical acupoint stimulation in children with autism and its impact on plasma levels of arginine-vasopressin and oxytocin: A prospective single-blinded controlled study. Res. Dev. Disabil. 2012, 33, 1136–1146. [Google Scholar] [CrossRef]
  92. Zhao, Z.Q.; Jia, S.W.; Hu, S.; Sun, W. Evaluating the effectiveness of electro-acupuncture as a treatment for childhood autism using single photon emission computed tomography. Chin. J. Integr. Med. 2014, 20, 19–23. [Google Scholar] [CrossRef] [PubMed]
  93. Chan, A.S.; Cheung, M.C.; Sze, S.L.; Leung, W.W. Seven-Star Needle Stimulation Improves Language and Social Interaction of Children with Autistic Spectrum Disorders. Am. J. Chin. Med. 2009, 37, 495–504. [Google Scholar] [CrossRef] [PubMed]
  94. Bang, M.; Lee, S.H.; Cho, S.H.; Yu, S.A.; Kim, K.; Lu, H.Y.; Chang, G.T.; Min, S.Y. Herbal medicine treatment for children with autism spectrum disorder: A systematic review. Evid. Based Complement. Altern. Med. 2017, 2017, 8614680. [Google Scholar] [CrossRef]
  95. Lu, J.Q.; Xu, J.J.; Wan, L.J.; Cai, J.L. Review of traditional Chinese medicine treatment of pediatric autism. J. Pediatr. Tradit. Chin. Med. 2014, 10, 12–15. [Google Scholar]
  96. Cao, J.Y.; Qu, X.J.; Wang, S.L.; Gao, H.; He, L. Clinical observation of Yangxin Kangbi decoction combined with intervention training in the treatment of autism in children with deficiency of heart and spleen. Henan Tradit. Chin. Med. 2019, 39, 898–900. [Google Scholar]
  97. Liu, J.B.; Zhang, Y.J.; Luo, G.Q.; Li, L. Clinical study of infantile massage combined with acupuncture for autism. New Chin. Med. 2017, 49, 122–125. [Google Scholar]
  98. Fan, Y.N.; Li, J.J.; Zhang, W.J. Acupuncture combined with medicine in the treatment of 48 cases autism of hyperactivity of heart-fire and liver-fire. Jilin J. Chin. Med. 2017, 37, 400–403. [Google Scholar]
  99. Li, S.K.; Xie, X.S.; Li, X.; Zhu, Q.X. Clinical efficacy of Chaihu plus longgu muli decoction combined with acupuncture and massage in the treatment of children with autism. Intern. Med. 2022, 17, 606–609. [Google Scholar]
  100. Kang, J.; Zhang, Z.; Wan, L.; Casanova, M.F.; Sokhadze, E.M.; Li, X. Effects of 1Hz repetitive transcranial magnetic stimulation on autism with intellectual disability: A pilot study. Comput. Biol. Med. 2022, 141, 105167. [Google Scholar] [CrossRef]
  101. Hadoush, H.; Nazzal, M.; Almasri, N.A.; Khalil, H.; Alafeef, M. Therapeutic effects of bilateral anodal transcranial direct current stimulation on prefrontal and motor cortical areas in children with autism spectrum disorders: A pilot study. Autism Res. 2020, 13, 828–836. [Google Scholar] [CrossRef]
  102. Amatachaya, A.; Auvichayapat, N.; Patjanasoontorn, N.; Suphakunpinyo, C.; Ngernyam, N.; Aree-Uea, B.; Keeratitanont, K.; Auvichayapat, P. Effect of anodal transcranial direct current stimulation on autism: A randomized double-blind crossover trial. Behav. Neurol. 2014, 2014, 173073. [Google Scholar] [CrossRef]
  103. Costanzo, F.; Menghini, D.; Casula, L.; Amendola, A.; Mazzone, L.; Valeri, G.; Vicari, S. Transcranial direct current stimulation treatment in an adolescent with autism and drug-resistant catatonia. Brain Stimul. 2015, 8, 1233–1235. [Google Scholar] [CrossRef]
  104. Kouijzer, M.E.J.; de Moor, J.M.H.; Gerrits, B.J.L.; Congedo, M.; van Schie, H.T. Neurofeedback improves executive functioning in children with autism spectrum disorders. Res. Autism Spectr. Disord. 2009, 3, 145–162. [Google Scholar] [CrossRef]
  105. Kouijzer, M.E.J.; de Moor, J.M.H.; Gerrits, B.J.L.; Buitelaar, J.K.; van Schie, H.T. Long-term effects of neurofeedback treatment in autism. Res. Autism Spectr. Disord. 2009, 3, 496–501. [Google Scholar] [CrossRef]
  106. Direito, B.; Mouga, S.; Sayal, A.; Simoes, M.; Quental, H.; Bernardino, I.; Playle, R.; McNamara, R.; Linden, D.E.; Oliveira, G.; et al. Training the social brain: Clinical and neural effects of an 8-week real-time functional magnetic resonance imaging neurofeedback Phase IIa Clinical Trial in Autism. Autism 2021, 25, 1746–1760. [Google Scholar] [CrossRef]
  107. Liu, N.; Cliffer, S.; Pradhan, A.H.; Lightbody, A.; Hall, S.S.; Reiss, A.L. Optical-imaging-based neurofeedback to enhance therapeutic intervention in adolescents with autism: Methodology and initial data. Neurophotonics 2017, 4, 011003. [Google Scholar] [CrossRef]
  108. LaGasse, A.B. Effects of a music therapy group intervention on enhancing social skills in children with autism. J. Music. Ther. 2014, 51, 250–275. [Google Scholar] [CrossRef]
  109. Brown, L.S. The influence of music on facial emotion recognition in children with autism spectrum disorder and neurotypical children. J. Music. Ther. 2017, 54, 55–79. [Google Scholar] [CrossRef]
  110. Wagener, G.L.; Berning, M.; Costa, A.P.; Steffgen, G.; Melzer, A. Effects of emotional music on facial emotion recognition in children with autism spectrum disorder (ASD). J. Autism Dev. Disord. 2021, 51, 3256–3265. [Google Scholar] [CrossRef] [PubMed]
  111. Cook, A.; Ogden, J.; Winstone, N. The impact of a school-based musical contact intervention on prosocial attitudes, emotions and behaviours: A pilot trial with autistic and neurotypical children. Autism 2019, 23, 933–942. [Google Scholar] [CrossRef]
  112. Yoo, G.E.; Kim, S.J. Dyadic drum playing and social skills: Implications for rhythm-mediated intervention for children with autism spectrum disorder. J. Music. Ther. 2018, 55, 340–375. [Google Scholar] [CrossRef]
  113. Lense, M.D.; Beck, S.; Liu, C.; Pfeiffer, R.; Diaz, N.; Lynch, M.; Goodman, N.; Summers, A.; Fisher, M.H. Parents, peers, and musical play: Integrated parent-child music class program supports community participation and well-being for families of children with and without autism spectrum disorder. Front. Psychol. 2020, 11, 555717. [Google Scholar] [CrossRef]
  114. Thompson, G.A.; McFerran, K.S.; Gold, C. Family-centred music therapy to promote social engagement in young children with severe autism spectrum disorder: A randomized controlled study. Child. Care Health Dev. 2014, 40, 840–852. [Google Scholar] [CrossRef]
  115. Forti, S.; Colombo, B.; Clark, J.; Bonfanti, A.; Molteni, S.; Crippa, A.; Antonietti, A.; Molteni, M. Soundbeam imitation intervention: Training children with autism to imitate meaningless body gestures through music. Adv. Autism 2020, 6, 227–240. [Google Scholar] [CrossRef]
  116. Speranza, L.; Pulcrano, S.; Perrone-Capano, C.; di Porzio, U.; Volpicelli, F. Music affects functional brain connectivity and is effective in the treatment of neurological disorders. Rev. Neurosci. 2022, 33, 789–801. [Google Scholar] [CrossRef]
  117. Quintin, E.-M. Music-Evoked Reward and Emotion: Relative Strengths and Response to Intervention of People With ASD. Front. Neural Circuits 2019, 13, 49. [Google Scholar] [CrossRef]
  118. Sharma, S.R.; Gonda, X.; Tarazi, F.I. Autism Spectrum Disorder: Classification, diagnosis and therapy. Pharmacol. Ther. 2018, 190, 91–104. [Google Scholar] [CrossRef] [PubMed]
  119. Bieleninik, L.; Geretsegger, M.; Mossler, K.; Assmus, J.; Thompson, G.; Gattino, G.; Elefant, C.; Gottfried, T.; Igliozzi, R.; Muratori, F.; et al. Effects of Improvisational Music Therapy vs Enhanced Standard Care on Symptom Severity Among Children With Autism Spectrum Disorder: The TIME-A Randomized Clinical Trial. JAMA 2017, 318, 525–535. [Google Scholar] [CrossRef] [PubMed]
  120. Gabriels, R.L.; Pan, Z.; Dechant, B.; Agnew, J.A.; Brim, N.; Mesibov, G. Randomized controlled trial of therapeutic horseback riding in children and adolescents with autism spectrum disorder. J. Am. Acad. Child. Adolesc. Psychiatry 2015, 54, 541–549. [Google Scholar] [CrossRef] [PubMed]
  121. Hernández-Espeso, N.; Martínez, E.R.; Sevilla, D.G.; Mas, L.A. Effects of dolphin-assisted therapy on the social and communication skills of children with autism spectrum disorder. Anthrozoos 2021, 34, 251–266. [Google Scholar] [CrossRef]
  122. Ben-Itzchak, E.; Zachor, D.A. Dog training intervention improves adaptive social communication skills in young children with autism spectrum disorder: A controlled crossover study. Autism 2021, 25, 1682–1693. [Google Scholar] [CrossRef] [PubMed]
  123. Nieforth, L.O.; Schwichtenberg, A.J.; O’Haire, M.E. Animal-assisted interventions for autism spectrum disorder: A systematic review of the literature from 2016 to 2020. Rev. J. Autism Dev. Disord. 2023, 10, 255–280. [Google Scholar] [CrossRef]
  124. O’Haire, M. Research on animal-assisted intervention and autism spectrum disorder, 2012–2015. Appl. Dev. Sci. 2017, 21, 200–216. [Google Scholar] [CrossRef]
  125. Vetri, L.; Roccella, M. On the playing field to improve: A goal for autism. Medicina 2020, 56, 585. [Google Scholar] [CrossRef]
  126. Bremer, E.; Crozier, M.; Lloyd, M. A systematic review of the behavioural outcomes following exercise interventions for children and youth with autism spectrum disorder. Autism 2016, 20, 899–915. [Google Scholar] [CrossRef]
  127. Shahane, V.; Kilyk, A.; Srinivasan, S.M. Effects of physical activity and exercise-based interventions in young adults with autism spectrum disorder: A systematic review. Autism 2024, 28, 276–300. [Google Scholar] [CrossRef]
  128. Wang, S.; Chen, D.; Yang, Y.; Zhu, L.; Xiong, X.; Chen, A. Effectiveness of physical activity interventions for core symptoms of autism spectrum disorder: A systematic review and meta-analysis. Autism Res. 2023, 16, 1811–1824. [Google Scholar] [CrossRef] [PubMed]
  129. Kou, R.; Li, Z.; Li, M.; Zhou, R.; Zhu, F.; Ruan, W.; Zhang, J. Comparative effectiveness of physical exercise interventions on sociability and communication in children and adolescents with autism: A systematic review and network meta-analysis. BMC Psychol. 2024, 12, 712. [Google Scholar] [CrossRef]
  130. Howells, K.; Sivaratnam, C.; May, T.; Lindor, E.; McGillivray, J.; Rinehart, N. Efficacy of group-based organised physical activity participation for social outcomes in children with autism spectrum disorder: A systematic review and meta-analysis. J. Autism Dev. Disord. 2019, 49, 3290–3308. [Google Scholar] [CrossRef]
  131. Hou, Y.; Song, Z.; Deng, J.; Song, X. The impact of exercise intervention on social interaction in children with autism: A network meta-analysis. Front. Public Health 2024, 12, 1399642. [Google Scholar] [CrossRef] [PubMed]
  132. Jia, M.; Zhang, J.; Pan, J.; Hu, F.; Zhu, Z. Benefits of exercise for children and adolescents with autism spectrum disorder: A systematic review and meta-analysis. Front. Psychiatry 2024, 15, 1462601. [Google Scholar] [CrossRef]
  133. Liang, X.; Li, R.; Wong, S.H.S.; Sum, R.K.W.; Wang, P.; Yang, B.; Sit, C.H.P. The effects of exercise interventions on executive functions in children and adolescents with autism spectrum disorder: A systematic review and meta-analysis. Sports Med. 2022, 52, 75–88. [Google Scholar] [CrossRef]
  134. Rivera, R.A.; Robertson, M.C.; McCleery, J.P. Exercise interventions for autistic people: An integrative review of evidence from clinical trials. Curr. Psychiatry Rep. 2025, 27, 286–306. [Google Scholar] [CrossRef]
  135. Liang, X.; Haegele, J.A.; Tse, A.C.; Li, M.; Zhang, H.; Zhao, S.; Li, S.X. The impact of the physical activity intervention on sleep in children and adolescents with autism spectrum disorder: A systematic review and meta-analysis. Sleep. Med. Rev. 2024, 74, 101913. [Google Scholar] [CrossRef]
  136. Vargas, C.; Paoletti, D.; De Stasio, S.; Berenguer, C. Sleep disturbances in autistic children and adolescents: A systematic review and meta-analysis of randomized controlled trials. Autism 2025, 29, 1661–1673. [Google Scholar] [CrossRef]
  137. Yuxi, R.; Shuqi, J.; Cong, L.; Shufan, L.; Yueyu, L. A systematic review of the effect of sandplay therapy on social communication deficits in children with autism spectrum disorder. Front. Pediatr. 2024, 12, 1454710. [Google Scholar] [CrossRef]
  138. Liu, G.; Chen, Y.; Ou, P.; Huang, L.; Qian, Q.; Wang, Y.; He, H.G.; Hu, R. Effects of parent-child sandplay therapy for preschool children with autism spectrum disorder and their mothers: A randomized controlled trial. J. Pediatr. Nurs. 2023, 71, 6–13. [Google Scholar] [CrossRef]
  139. Guo, J.; Li, D. Effects of image-sandplay therapy on the mental health and subjective well-being of children with autism. Iran. J. Public. Health 2021, 50, 2046–2054. [Google Scholar] [CrossRef] [PubMed]
  140. Vogel, S.W.; Mullins, K.L.; Kumar, S. Art therapy for children and adolescents with autism: A systematic review. Int. J. Art. Ther. 2024, 30, 113–122. [Google Scholar] [CrossRef]
  141. Bernier, A.; Ratcliff, K.; Hilton, C.; Fingerhut, P.; Li, C.Y. Art interventions for children with autism spectrum disorder: A scoping review. Am. J. Occup. Ther. 2022, 76, 7605205030. [Google Scholar] [CrossRef] [PubMed]
  142. So, W.C.; Cheng, C.H.; Lam, W.Y.; Huang, Y.; Ng, K.C.; Tung, H.C.; Wong, W. A robot-based play-drama intervention may improve the joint attention and functional play behaviors of Chinese-speaking preschoolers with autism spectrum disorder: A pilot study. J. Autism Dev. Disord. 2020, 50, 467–481. [Google Scholar] [CrossRef] [PubMed]
  143. Skinner, B.F. The Behavior of Organisms: An Experimental Analysis; BF Skinner Foundation: Cambridge, MA, USA, 2019. [Google Scholar]
  144. Gosling, C.J.; Cartigny, A.; Mellier, B.C.; Solanes, A.; Radua, J.; Delorme, R. Efficacy of psychosocial interventions for Autism spectrum disorder: An umbrella review. Mol. Psychiatry 2022, 27, 3647–3656. [Google Scholar] [CrossRef]
  145. Chiang, C.H.; Lin, T.L.; Lin, H.Y.; Ho, S.Y.; Wong, C.C.; Wu, H.C. Short-term low-intensity Early Start Denver Model program implemented in regional hospitals in Northern Taiwan. Autism 2023, 27, 778–787. [Google Scholar] [CrossRef]
  146. Contaldo, A.; Colombi, C.; Pierotti, C.; Masoni, P.; Muratori, F. Outcomes and moderators of Early Start Denver Model intervention in young children with autism spectrum disorder delivered in a mixed individual and group setting. Autism 2020, 24, 718–729. [Google Scholar] [CrossRef]
  147. Gengoux, G.W.; Abrams, D.A.; Schuck, R.; Millan, M.E.; Libove, R.; Ardel, C.M.; Phillips, J.M.; Fox, M.; Frazier, T.W.; Hardan, A.Y. A pivotal response treatment package for children with autism spectrum disorder: An RCT. Pediatrics 2019, 144, e20190178. [Google Scholar] [CrossRef]
  148. van den Berk-Smeekens, I.; de Korte, M.W.P.; van Dongen-Boomsma, M.; Oosterling, I.J.; den Boer, J.C.; Barakova, E.I.; Lourens, T.; Glennon, J.C.; Staal, W.G.; Buitelaar, J.K. Pivotal response treatment with and without robot-assistance for children with autism: A randomized controlled trial. Eur. Child. Adolesc. Psychiatry 2022, 31, 1871–1883. [Google Scholar] [CrossRef]
  149. Shire, S.Y.; Chang, Y.C.; Shih, W.; Bracaglia, S.; Kodjoe, M.; Kasari, C. Hybrid implementation model of community-partnered early intervention for toddlers with autism: A randomized trial. J. Child. Psychol. Psychiatry 2017, 58, 612–622. [Google Scholar] [CrossRef]
  150. Vivanti, G. Kasari et al.: The JASPER Model for Children with Autism: Promoting Joint Attention, Symbolic Play, Engagement, and Regulation. Guilford Publications. J. Autism Dev. Disord. 2022, 53, 2166–2167. [Google Scholar] [CrossRef]
  151. Franz, L.; Goodwin, C.D.; Rieder, A.; Matheis, M.; Damiano, D.L. Early intervention for very young children with or at high likelihood for autism spectrum disorder: An overview of reviews. Dev. Med. Child. Neurol. 2022, 64, 1063–1076. [Google Scholar] [CrossRef] [PubMed]
  152. Meza, N.; Rojas, V.; Escobar Liquitay, C.M.; Perez, I.; Aguilera Johnson, F.; Amarales Osorio, C.; Irarrazaval, M.; Madrid, E.; Franco, J.V.A. Non-pharmacological interventions for autism spectrum disorder in children: An overview of systematic reviews. BMJ Evid. Based Med. 2023, 28, 273–282. [Google Scholar] [CrossRef] [PubMed]
  153. Douglas, S.N.; Dada, S.; Tönsing, K.; Samuels, A.; Owusu, P. Cultural considerations in caregiver-implemented naturalistic developmental behavioral interventions: A scoping review. Rev. J. Autism Dev. Disord. 2024. [Google Scholar] [CrossRef]
  154. Liu, G.; Yuan, L.X. A brief analysis of the etiology, pathogenesis, and syndrome differentiation of pediatric autism in traditional Chinese medicine. Liaoning J. Tradit. Chin. Med. 2007, 364, 1226–1227. [Google Scholar] [CrossRef]
  155. Liu, W.L.; He, J.D. Exploration of the mental and behavioral abnormality characteristics of Autism in traditional Chinese medicine. J. Hunan Univ. Chin. Med. 2006, 26, 6–8. [Google Scholar] [CrossRef]
  156. Hui, J.R.; Xiong, Z.F.; He, A.N.; Cheng, Y.R.; Lei, Y.C.; Chen, H.B.; Li, J.W. Research status of acupuncture in treatment of autism. J. Hubei Univ. Chin. Med. 2020, 22, 114–117. [Google Scholar]
  157. Lee, B.; Kwon, C.Y.; Chang, G.T. Oriental herbal medicine for neurological disorders in children: An overview of systematic reviews. Am. J. Chin. Med. 2018, 46, 1701–1726. [Google Scholar] [CrossRef]
  158. Ma, Y.Y.; Liu, M.; Yu, M.F. Study on the prescription patterns for treatment of autism spectrum disorders and action mechanism of its core herbal combinations. J. Guangzhou Univ. Tradit. Chin. Med. 2023, 40, 965–974. [Google Scholar]
  159. Yang, H.L.; Xu, D.; Diao, B.S. Research on current situation of TCM treatment of autism spectrum disorder. J. Med. Inf. 2020, 33, 42–44. [Google Scholar]
  160. Zhuang, Y.; Xing, J.J.; Li, J.; Zeng, B.Y.; Liang, F.R. History of acupuncture research. Int. Rev. Neurobiol. 2013, 111, 1–23. [Google Scholar] [PubMed]
  161. Fu, X.Y.; Qu, L.F. Progress in traditional Chinese medicine research on pediatric autism spectrum disorder. Inn. Mong. J. Tradit. Chin. 2012, 31, 108–110. [Google Scholar]
  162. Li, X.; Li, J.-C.; Lu, Q.-Q.; Zhang, F.; Zhang, S.-Q. Research status and prospects of acupuncture for autism spectrum disorders. Front. Psychiatry 2023, 14, 942069. [Google Scholar] [CrossRef]
  163. Zhang, K.L.; Zhao, M.Z.; Chen, H. Clinical research progress of treating autism in children in TCM. Clin. J. Chin. Med. 2023, 15, 50–54. [Google Scholar]
  164. Khaleghi, A.; Zarafshan, H.; Vand, S.R.; Mohammadi, M.R. Effects of non-invasive neurostimulation on autism spectrum disorder: A systematic review. Clin. Psychopharmacol. Neurosci. 2020, 18, 527–552. [Google Scholar] [CrossRef]
  165. Yuan, L.X.; Wang, X.K.; Yang, C.; Zhang, Q.R.; Ma, S.Z.; Zang, Y.F.; Dong, W.Q. A systematic review of transcranial magnetic stimulation treatment for autism spectrum disorder. Heliyon 2024, 10, e32251. [Google Scholar] [CrossRef] [PubMed]
  166. Zhou, T.; Kang, J.; Li, Z.; Chen, H.; Li, X. Transcranial direct current stimulation modulates brain functional connectivity in autism. Neuroimage Clin. 2020, 28, 102500. [Google Scholar] [CrossRef]
  167. Prillinger, K.; Amador de Lara, G.; Klobl, M.; Lanzenberger, R.; Plener, P.L.; Poustka, L.; Konicar, L.; Radev, S.T. Multisession tDCS combined with intrastimulation training improves emotion recognition in adolescents with autism spectrum disorder. Neurotherapeutics 2024, 21, e00460. [Google Scholar] [CrossRef] [PubMed]
  168. Aydin, A.; Yildirim, A. Assessing the impact of Transcranial Direct Current Stimulation (tDCS) over the dorsolateral prefrontal cortex on social communication in children and adolescents with Autism Spectrum Disorder (ASD). Res. Dev. Disabil. 2025, 161, 104958. [Google Scholar] [CrossRef]
  169. Sulzer, J.; Papageorgiou, T.D.; Goebel, R.; Hendler, T. Neurofeedback: New territories and neurocognitive mechanisms of endogenous neuromodulation. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2024, 379, 20230081. [Google Scholar] [CrossRef]
  170. D’Urso, G.; Bruzzese, D.; Ferrucci, R.; Priori, A.; Pascotto, A.; Galderisi, S.; Altamura, A.C.; Bravaccio, C. Transcranial direct current stimulation for hyperactivity and noncompliance in autistic disorder. World J. Biol. Psychiatry 2015, 16, 361–366. [Google Scholar] [CrossRef]
  171. D’Urso, G.; Ferrucci, R.; Bruzzese, D.; Pascotto, A.; Priori, A.; Altamura, C.A.; Galderisi, S.; Bravaccio, C. Transcranial direct current stimulation for autistic disorder. Biol. Psychiatry 2014, 76, e5–e6. [Google Scholar] [CrossRef] [PubMed]
  172. Garcia-Gonzalez, S.; Lugo-Marin, J.; Setien-Ramos, I.; Gisbert-Gustemps, L.; Arteaga-Henriquez, G.; Diez-Villoria, E.; Ramos-Quiroga, J.A. Transcranial direct current stimulation in Autism Spectrum Disorder: A systematic review and meta-analysis. Eur. Neuropsychopharmacol. 2021, 48, 89–109. [Google Scholar] [CrossRef]
  173. Esse Wilson, J.; Trumbo, M.C.; Wilson, J.K.; Tesche, C.D. Transcranial direct current stimulation (tDCS) over right temporoparietal junction (rTPJ) for social cognition and social skills in adults with autism spectrum disorder (ASD). J. Neural Transm. 2018, 125, 1857–1866. [Google Scholar] [CrossRef]
  174. Salehinejad, M.A.; Paknia, N.; Hosseinpour, A.H.; Yavari, F.; Vicario, C.M.; Nitsche, M.A.; Nejati, V. Contribution of the right temporoparietal junction and ventromedial prefrontal cortex to theory of mind in autism: A randomized, sham-controlled tDCS study. Autism Res. 2021, 14, 1572–1584. [Google Scholar] [CrossRef] [PubMed]
  175. Cohen, A.L. Using causal methods to map symptoms to brain circuits in neurodevelopment disorders: Moving from identifying correlates to developing treatments. J. Neurodev. Disord. 2022, 14, 19. [Google Scholar] [CrossRef] [PubMed]
  176. Camacho-Conde, J.A.; Gonzalez-Bermudez, M.D.R.; Carretero-Rey, M.; Khan, Z.U. Brain stimulation: A therapeutic approach for the treatment of neurological disorders. CNS Neurosci. Ther. 2022, 28, 5–18. [Google Scholar] [CrossRef] [PubMed]
  177. van der Vliet, R.; Jonker, Z.D.; Louwen, S.C.; Heuvelman, M.; de Vreede, L.; Ribbers, G.M.; De Zeeuw, C.I.; Donchin, O.; Selles, R.W.; van der Geest, J.N.; et al. Cerebellar transcranial direct current stimulation interacts with BDNF Val66Met in motor learning. Brain Stimul. 2018, 11, 759–771. [Google Scholar] [CrossRef]
  178. Griff, J.R.; Langlie, J.; Bencie, N.B.; Cromar, Z.J.; Mittal, J.; Memis, I.; Wallace, S.; Marcillo, A.E.; Mittal, R.; Eshraghi, A.A. Recent advancements in noninvasive brain modulation for individuals with autism spectrum disorder. Neural Regen. Res. 2023, 18, 1191–1195. [Google Scholar] [CrossRef]
  179. Shibata, K.; Watanabe, T.; Sasaki, Y.; Kawato, M. Perceptual learning incepted by decoded fMRI neurofeedback without stimulus presentation. Science 2011, 334, 1413–1415. [Google Scholar] [CrossRef]
  180. Rady, R.M.; Moussa, N.D.; Salmawy, D.H.E.; Rizk, M.R.M.; Alim, O.A. A comparison between classical and new proposed feature selection methods for attention level recognition in disordered children. Alex. Eng. J. 2022, 61, 12785–12795. [Google Scholar] [CrossRef]
  181. Lyu, Y.; An, P.C.; Xiao, Y.G.; Zhang, Z.B.; Zhang, H.; Katsuragawa, K.; Zhao, J. Eggly: Designing mobile augmented reality neurofeedback training games for children with autism spectrum disorder. Proc. Acm Interact. Mob. Wearable Ubiquitous Technol.-Imwut 2023, 7, 1–29. [Google Scholar] [CrossRef]
  182. Saleem, S.; Habib, S.H. Neurofeedback recuperates cognitive functions in children with autism spectrum disorders (ASD). J. Autism Dev. Disord. 2024, 54, 2891–2901. [Google Scholar] [CrossRef]
  183. Friedrich, E.V.; Sivanathan, A.; Lim, T.; Suttie, N.; Louchart, S.; Pillen, S.; Pineda, J.A. An effective neurofeedback intervention to improve social interactions in children with autism spectrum disorder. J. Autism Dev. Disord. 2015, 45, 4084–4100. [Google Scholar] [CrossRef] [PubMed]
  184. Ramot, M.; Kimmich, S.; Gonzalez-Castillo, J.; Roopchansingh, V.; Popal, H.; White, E.; Gotts, S.J.; Martin, A. Direct modulation of aberrant brain network connectivity through real-time NeuroFeedback. Elife 2017, 6, e28974. [Google Scholar] [CrossRef]
  185. LaMarca, K.; Gevirtz, R.; Lincoln, A.J.; Pineda, J.A. Brain-computer interface training of mu EEG rhythms in intellectually impaired children with autism: A feasibility case series. Appl. Psychophysiol. Biofeedback 2023, 48, 229–245. [Google Scholar] [CrossRef]
  186. LaMarca, K.; Gevirtz, R.; Lincoln, A.J.; Pineda, J.A. Facilitating neurofeedback in children with autism and intellectual impairments using TAGteach. J. Autism Dev. Disord. 2018, 48, 2090–2100. [Google Scholar] [CrossRef]
  187. Höfer, J.; Hoffmann, F.; Bachmann, C. Use of complementary and alternative medicine in children and adolescents with autism spectrum disorder: A systematic review. Autism 2016, 21, 387–402. [Google Scholar] [CrossRef]
  188. Geretsegger, M.; Fusar-Poli, L.; Elefant, C.; Mossler, K.A.; Vitale, G.; Gold, C. Music therapy for autistic people. Cochrane Database Syst. Rev. 2022, 5, CD004381. [Google Scholar] [PubMed]
  189. Tsirigoti, A.; Georgiadi, M. The efficacy of music therapy programs on the development of social communication in children with autism spectrum disorder: A systematic review. Educ. Sci. 2024, 14, 373. [Google Scholar] [CrossRef]
  190. Marquez-Garcia, A.V.; Magnuson, J.; Morris, J.; Iarocci, G.; Doesburg, S.; Moreno, S. Music therapy in autism spectrum disorder: A systematic review. Rev. J. Autism Dev. Disord. 2021, 9, 91–107. [Google Scholar] [CrossRef]
  191. Shi, Z.; Wang, S.; Chen, M.; Hu, A.; Long, Q.; Lee, Y. The effect of music therapy on language communication and social skills in children with autism spectrum disorder: A systematic review and meta-analysis. Front. Psychol. 2024, 15, 1336421. [Google Scholar] [CrossRef]
  192. Ke, X.; Song, W.; Yang, M.; Li, J.; Liu, W. Effectiveness of music therapy in children with autism spectrum disorder: A systematic review and meta-analysis. Front. Psychiatry 2022, 13, 905113. [Google Scholar] [CrossRef]
  193. Ramaswamy, M.; Philip, J.L.; Priya, V.; Priyadarshini, S.; Ramasamy, M.; Jeevitha, G.C.; Mathkor, D.M.; Haque, S.; Dabaghzadeh, F.; Bhattacharya, P.; et al. Therapeutic use of music in neurological disorders: A concise narrative review. Heliyon 2024, 10, e35564. [Google Scholar] [CrossRef]
  194. Nomi, J.S.; Molnar-Szakacs, I.; Uddin, L.Q. Insular function in autism: Update and future directions in neuroimaging and interventions. Prog. Neuropsychopharmacol. Biol. Psychiatry 2019, 89, 412–426. [Google Scholar] [CrossRef]
  195. Gassner, L.; Geretsegger, M.; Mayer-Ferbas, J. Effectiveness of music therapy for autism spectrum disorder, dementia, depression, insomnia and schizophrenia: Update of systematic reviews. Eur. J. Public. Health 2022, 32, 27–34. [Google Scholar] [CrossRef]
  196. Stern, C.; Chur-Hansen, A. An umbrella review of the evidence for equine-assisted interventions. Aust. J. Psychol. 2019, 71, 361–374. [Google Scholar] [CrossRef]
  197. Sissons, J.H.; Blakemore, E.; Shafi, H.; Skotny, N.; Lloyd, D.M. Calm with horses? A systematic review of animal-assisted interventions for improving social functioning in children with autism. Autism 2022, 26, 1320–1340. [Google Scholar] [CrossRef]
  198. Fornefeld, D.; Zellin, U.; Schmidt, P.; Fricke, O. The supporting role of dogs in the inpatient setting: A systematic review of the therapeutic effects of animal-assisted therapy with dogs for children and adolescents in an inpatient setting. Eur. Child. Adolesc. Psychiatry 2025, 34, 3–17. [Google Scholar] [CrossRef] [PubMed]
  199. Wong, T.; Falcomata, T.S.; Barnett, M. The collateral effects of antecedent exercise on stereotypy and other nonstereotypic behaviors exhibited by individuals with autism spectrum disorder: A systematic review. Behav. Anal. Pr. 2023, 16, 407–420. [Google Scholar] [CrossRef] [PubMed]
  200. Tu, G.; Jiang, N.; Chen, W.; Liu, L.; Hu, M.; Liao, B. The neurobiological mechanisms underlying the effects of exercise interventions in autistic individuals. Rev. Neurosci. 2025, 36, 27–51. [Google Scholar] [CrossRef]
  201. Wang, H.; Cheng, G.; Li, M.M. The effectiveness and sustained effects of exercise therapy to improve executive function in children and adolescents with autism: A systematic review and meta-analysis. Eur. J. Pediatr. 2025, 184, 286. [Google Scholar] [CrossRef] [PubMed]
  202. Tao, R.; Yang, Y.; Wilson, M.; Chang, J.R.; Liu, C.; Sit, C.H.P. Comparative effectiveness of physical activity interventions on cognitive functions in children and adolescents with Neurodevelopmental Disorders: A systematic review and network meta-analysis of randomized controlled trials. Int. J. Behav. Nutr. Phys. Act. 2025, 22, 6. [Google Scholar] [CrossRef]
  203. Toscano, C.V.A.; Barros, L.; Lima, A.B.; Nunes, T.; Carvalho, H.M.; Gaspar, J.M. Neuroinflammation in autism spectrum disorders: Exercise as a “pharmacological” tool. Neurosci. Biobehav. Rev. 2021, 129, 63–74. [Google Scholar] [CrossRef] [PubMed]
Figure 1. ASD intervention and treatment methods.
Figure 1. ASD intervention and treatment methods.
Brainsci 15 01280 g001
Figure 2. Neuromodulation Technique.
Figure 2. Neuromodulation Technique.
Brainsci 15 01280 g002
Table 1. Summary of intervention methods for ASD.
Table 1. Summary of intervention methods for ASD.
Treatment MethodsClassificationReferencesAdvantagesLimitations
Pharmacological treatment Atypical antipsychotic[6,15,16,17,37,38,39,40,41,42]Fast-acting, suitable for individuals with severe behavioral issues.Limited improvement in core symptoms.
Potential side effects.
Stimulant[6,20,21,48]
Antidepressant[23,24,25,50,51,52,53,54,55]
Other medications[26,27,29,30,31,59,60,61,62,63,64,65,66]
Behavioral interventions ABA[67,68,69,70,71,72,73,74]Structured training programs that can be adjusted according to individual needs.
The cornerstone of early intervention.
Long training periods.
Significant individual variability in training outcomes.
Effectiveness depends on the professional level of the therapists and the intensity of the intervention.
NDBIs[75,76,77,78,79,80,81,82]
TCM Acupuncture[4,83,84,85,86,87,88,89,90,91,92,93]Low cost.
No serious side effects.
Requires practitioners to have a high level of professional skills.
No internationally standardized training program.
The unique smell of traditional Chinese medicine may reduce patients’ treatment adherence.
Chinese herbal medicine[94,95,96]
Comprehensive therapy[97,98,99]
NeuroregulationExogenous neuromodulation [100,101,102,103]Passive regulation allows for precise targeting.
Active regulation involves high participant engagement and personalization.
High cost.
High technical requirements.
No standardized treatment protocols.
Endogenous neuromodulation[104,105,106,107]
CAM Music therapy[108,109,110,111,112,113,114,115,116,117,118,119]Low risk and patient-friendly.Individual differences and personalized needs.
Animal-assisted intervention[120,121,122,123,124]
Exercise intervention[125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Hai, Y.; Bai, S.; Qiao, H.; Li, D.; Wang, D.; Xia, M. A Review of Therapeutic Approaches for Autism Spectrum Disorder. Brain Sci. 2025, 15, 1280. https://doi.org/10.3390/brainsci15121280

AMA Style

Hai Y, Bai S, Qiao H, Li D, Wang D, Xia M. A Review of Therapeutic Approaches for Autism Spectrum Disorder. Brain Sciences. 2025; 15(12):1280. https://doi.org/10.3390/brainsci15121280

Chicago/Turabian Style

Hai, Yang, Saihan Bai, Huiting Qiao, Deyu Li, Daifa Wang, and Meiyun Xia. 2025. "A Review of Therapeutic Approaches for Autism Spectrum Disorder" Brain Sciences 15, no. 12: 1280. https://doi.org/10.3390/brainsci15121280

APA Style

Hai, Y., Bai, S., Qiao, H., Li, D., Wang, D., & Xia, M. (2025). A Review of Therapeutic Approaches for Autism Spectrum Disorder. Brain Sciences, 15(12), 1280. https://doi.org/10.3390/brainsci15121280

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop