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  • Review
  • Open Access
646 Citations
58,256 Views
30 Pages

Spiking Neural Networks and Their Applications: A Review

  • Kashu Yamazaki,
  • Viet-Khoa Vo-Ho,
  • Darshan Bulsara and
  • Ngan Le

The past decade has witnessed the great success of deep neural networks in various domains. However, deep neural networks are very resource-intensive in terms of energy consumption, data requirements, and high computational costs. With the recent inc...

(This article belongs to the Section Neural Engineering, Neuroergonomics and Neurorobotics)
  • Review
  • Open Access
503 Citations
47,674 Views
21 Pages

The prevalence of Autism Spectrum Disorder (ASD) has increased dramatically in recent decades, supporting the claim of an autism epidemic. Systematic monitoring of ASD allows estimating prevalence and identifying potential sources of variation over t...

(This article belongs to the Special Issue Advances in Autism Research)
  • Article
  • Open Access
425 Citations
31,870 Views
14 Pages

Psychosocial and Behavioral Impact of COVID-19 in Autism Spectrum Disorder: An Online Parent Survey

  • Marco Colizzi,
  • Elena Sironi,
  • Federico Antonini,
  • Marco Luigi Ciceri,
  • Chiara Bovo and
  • Leonardo Zoccante

The 2019 coronavirus disease (COVID-19) outbreak could result in higher levels of psychological distress, especially among people suffering from pre-existing mental health conditions. Young individuals with autism spectrum disorders (ASD) are particu...

(This article belongs to the Special Issue Advances in Autism Research)
  • Review
  • Open Access
423 Citations
72,417 Views
20 Pages

Positive and Negative Emotion Regulation in Adolescence: Links to Anxiety and Depression

  • Katherine S. Young,
  • Christina F. Sandman and
  • Michelle G. Craske

Emotion regulation skills develop substantially across adolescence, a period characterized by emotional challenges and developing regulatory neural circuitry. Adolescence is also a risk period for the new onset of anxiety and depressive disorders, ps...

(This article belongs to the Special Issue The Multi-Dimensional Contributions of Prefrontal Circuits to Emotion Regulation during Adulthood and Critical Stages of Development)
  • Feature Paper
  • Review
  • Open Access
413 Citations
64,723 Views
28 Pages

HPA Axis in the Pathomechanism of Depression and Schizophrenia: New Therapeutic Strategies Based on Its Participation

  • Joanna Mikulska,
  • Gabriela Juszczyk,
  • Monika Gawrońska-Grzywacz and
  • Mariola Herbet

30 September 2021

The hypothalamic-pituitary-adrenal (HPA) axis is involved in the pathophysiology of many neuropsychiatric disorders. Increased HPA axis activity can be observed during chronic stress, which plays a key role in the pathophysiology of depression. Overa...

  • Review
  • Open Access
412 Citations
110,092 Views
33 Pages

10 December 2021

Depression is one of the leading causes of disability, and, if left unmanaged, it can increase the risk for suicide. The evidence base on the determinants of depression is fragmented, which makes the interpretation of the results across studies diffi...

  • Review
  • Open Access
353 Citations
27,466 Views
38 Pages

Brain–Computer Interface Spellers: A Review

  • Aya Rezeika,
  • Mihaly Benda,
  • Piotr Stawicki,
  • Felix Gembler,
  • Abdul Saboor and
  • Ivan Volosyak

A Brain–Computer Interface (BCI) provides a novel non-muscular communication method via brain signals. A BCI-speller can be considered as one of the first published BCI applications and has opened the gate for many advances in the field. Although man...

(This article belongs to the Special Issue Brain-Computer Interfaces for Human Augmentation)
  • Review
  • Open Access
345 Citations
95,857 Views
28 Pages

5 September 2012

In the past decade, research has accumulated suggesting that excessive Internet use can lead to the development of a behavioral addiction. Internet addiction has been considered as a serious threat to mental health and the excessive use of the Intern...

(This article belongs to the Special Issue Addiction and Neuroadaptation)
  • Review
  • Open Access
327 Citations
36,404 Views
15 Pages

11 January 2013

The beneficial effects of exercise on brain function have been demonstrated in animal models and in a growing number of clinical studies on humans. There are multiple mechanisms that account for the brain-enhancing effects of exercise, including neur...

(This article belongs to the Special Issue Exercise and Brain Function)
  • Review
  • Open Access
292 Citations
32,190 Views
22 Pages

The prefrontal cortex participates in a variety of higher cognitive functions. The concept of working memory is now widely used to understand prefrontal functions. Neurophysiological studies have revealed that stimulus-selective delay-period activity...

(This article belongs to the Special Issue Interaction Between the Prefrontal Cortex and Hippocampus in Memory Storage and Retrieval)
  • Article
  • Open Access
292 Citations
18,110 Views
15 Pages

SwinBTS: A Method for 3D Multimodal Brain Tumor Segmentation Using Swin Transformer

  • Yun Jiang,
  • Yuan Zhang,
  • Xin Lin,
  • Jinkun Dong,
  • Tongtong Cheng and
  • Jing Liang

Brain tumor semantic segmentation is a critical medical image processing work, which aids clinicians in diagnosing patients and determining the extent of lesions. Convolutional neural networks (CNNs) have demonstrated exceptional performance in compu...

(This article belongs to the Section Computational Neuroscience, Neuroinformatics, and Neurocomputing)
  • Review
  • Open Access
285 Citations
47,925 Views
41 Pages

Summary of over Fifty Years with Brain-Computer Interfaces—A Review

  • Aleksandra Kawala-Sterniuk,
  • Natalia Browarska,
  • Amir Al-Bakri,
  • Mariusz Pelc,
  • Jaroslaw Zygarlicki,
  • Michaela Sidikova,
  • Radek Martinek and
  • Edward Jacek Gorzelanczyk

Over the last few decades, the Brain-Computer Interfaces have been gradually making their way to the epicenter of scientific interest. Many scientists from all around the world have contributed to the state of the art in this scientific domain by dev...

(This article belongs to the Special Issue A Decade of Brain Sciences)
  • Systematic Review
  • Open Access
271 Citations
47,109 Views
101 Pages

15 February 2025

Background/Objectives: This systematic review integrates Cognitive Load Theory (CLT), Educational Neuroscience (EdNeuro), Artificial Intelligence (AI), and Machine Learning (ML) to examine their combined impact on optimizing learning environments. It...

(This article belongs to the Special Issue Advances in Educational Neuroscience: Current Status and Future Directions)
  • Review
  • Open Access
266 Citations
19,066 Views
16 Pages

Advances in Brain Tumor Surgery for Glioblastoma in Adults

  • Montserrat Lara-Velazquez,
  • Rawan Al-Kharboosh,
  • Stephanie Jeanneret,
  • Carla Vazquez-Ramos,
  • Deependra Mahato,
  • Daryoush Tavanaiepour,
  • Gazanfar Rahmathulla and
  • Alfredo Quinones-Hinojosa

20 December 2017

Glioblastoma (GBM) is the most common primary intracranial neoplasia, and is characterized by its extremely poor prognosis. Despite maximum surgery, chemotherapy, and radiation, the histological heterogeneity of GBM makes total eradication impossible...

(This article belongs to the Special Issue Advances in Adult and Pediatric Brain Tumor Management)
  • Review
  • Open Access
265 Citations
20,654 Views
33 Pages

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges

  • Muhammad Waqas Nadeem,
  • Mohammed A. Al Ghamdi,
  • Muzammil Hussain,
  • Muhammad Adnan Khan,
  • Khalid Masood Khan,
  • Sultan H. Almotiri and
  • Suhail Ashfaq Butt

22 February 2020

Deep Learning (DL) algorithms enabled computational models consist of multiple processing layers that represent data with multiple levels of abstraction. In recent years, usage of deep learning is rapidly proliferating in almost every domain, especia...

(This article belongs to the Special Issue Collection on Clinical Neuroscience)
  • Systematic Review
  • Open Access
257 Citations
32,952 Views
44 Pages

Neural Decoding of EEG Signals with Machine Learning: A Systematic Review

  • Maham Saeidi,
  • Waldemar Karwowski,
  • Farzad V. Farahani,
  • Krzysztof Fiok,
  • Redha Taiar,
  • P. A. Hancock and
  • Awad Al-Juaid

18 November 2021

Electroencephalography (EEG) is a non-invasive technique used to record the brain’s evoked and induced electrical activity from the scalp. Artificial intelligence, particularly machine learning (ML) and deep learning (DL) algorithms, are increasingly...

  • Review
  • Open Access
249 Citations
31,734 Views
27 Pages

Multiple Sclerosis: Immunopathology and Treatment Update

  • Narges Dargahi,
  • Maria Katsara,
  • Theodore Tselios,
  • Maria-Eleni Androutsou,
  • Maximilian De Courten,
  • John Matsoukas and
  • Vasso Apostolopoulos

The treatment of multiple sclerosis (MS) has changed over the last 20 years. All immunotherapeutic drugs target relapsing remitting MS (RRMS) and it still remains a medical challenge in MS to develop a treatment for progressive forms. The most common...

(This article belongs to the Special Issue Pathophysiology and Imaging Diagnosis of Demyelinating Disorders)
  • Article
  • Open Access
244 Citations
16,060 Views
15 Pages

A Deep Siamese Convolution Neural Network for Multi-Class Classification of Alzheimer Disease

  • Atif Mehmood,
  • Muazzam Maqsood,
  • Muzaffar Bashir and
  • Yang Shuyuan

5 February 2020

Alzheimer’s disease (AD) may cause damage to the memory cells permanently, which results in the form of dementia. The diagnosis of Alzheimer’s disease at an early stage is a problematic task for researchers. For this, machine learning and...

(This article belongs to the Special Issue Dementia and Cognitive Ageing)
  • Review
  • Open Access
244 Citations
100,787 Views
32 Pages

Exploring the Role of Neuroplasticity in Development, Aging, and Neurodegeneration

  • Patrícia Marzola,
  • Thayza Melzer,
  • Eloisa Pavesi,
  • Joana Gil-Mohapel and
  • Patricia S. Brocardo

21 November 2023

Neuroplasticity refers to the ability of the brain to reorganize and modify its neural connections in response to environmental stimuli, experience, learning, injury, and disease processes. It encompasses a range of mechanisms, including changes in s...

(This article belongs to the Special Issue Neuroregenerative Plasticity in Health and Disease)
  • Feature Paper
  • Review
  • Open Access
243 Citations
29,165 Views
19 Pages

30 October 2017

Bipolar disorder (BD) is strongly associated with immune dysfunction. Replicated epidemiological studies have demonstrated that BD has high rates of inflammatory medical comorbidities, including autoimmune disorders, chronic infections, cardiovascula...

  • Review
  • Open Access
243 Citations
32,353 Views
16 Pages

17 November 2020

The glymphatic system is a “pseudo-lymphatic” perivascular network distributed throughout the brain, responsible for replenishing as well as cleansing the brain. Glymphatic clearance is the macroscopic process of convective fluid transpor...

(This article belongs to the Special Issue Effects of Sleep Disruption on Daytime Functioning)
  • Review
  • Open Access
241 Citations
44,759 Views
29 Pages

17 April 2012

It is commonly believed that consciousness is a higher brain function. Here we consider the likelihood, based on abundant neuroevolutionary data that lower brain affective phenomenal experiences provide the “energy” for the developmental construction...

(This article belongs to the Special Issue The Brain Knows More than It Admits: The Control of Cognition and Emotion by Non-Conscious Processes)
  • Opinion
  • Open Access
237 Citations
31,486 Views
18 Pages

The Neurochemistry of Autism

  • Rosa Marotta,
  • Maria C. Risoleo,
  • Giovanni Messina,
  • Lucia Parisi,
  • Marco Carotenuto,
  • Luigi Vetri and
  • Michele Roccella

Autism spectrum disorder (ASD) refers to complex neurobehavioral and neurodevelopmental conditions characterized by impaired social interaction and communication, restricted and repetitive patterns of behavior or interests, and altered sensory proces...

(This article belongs to the Special Issue Recent Advances in Neurodevelopmental Disorders)
  • Review
  • Open Access
235 Citations
33,741 Views
37 Pages

Neurodegenerative Diseases: Regenerative Mechanisms and Novel Therapeutic Approaches

  • Rashad Hussain,
  • Hira Zubair,
  • Sarah Pursell and
  • Muhammad Shahab

15 September 2018

Regeneration refers to regrowth of tissue in the central nervous system. It includes generation of new neurons, glia, myelin, and synapses, as well as the regaining of essential functions: sensory, motor, emotional and cognitive abilities. Unfortunat...

(This article belongs to the Section Developmental Neuroscience)
  • Review
  • Open Access
231 Citations
16,285 Views
18 Pages

12 December 2019

Co-morbid insomnia and sleep apnea (COMISA) is a highly prevalent and debilitating disorder, which results in additive impairments to patients’ sleep, daytime functioning, and quality of life, and complex diagnostic and treatment decisions for...

(This article belongs to the Special Issue Insomnia: Beyond Hyperarousal)
  • Review
  • Open Access
225 Citations
22,419 Views
12 Pages

18 February 2018

Neurodegeneration is a complex process that leads to irreversible neuronal damage and death in spinal cord injury (SCI) and various neurodegenerative diseases, which are serious, debilitating conditions. Despite exhaustive research, the cause of neur...

(This article belongs to the Special Issue Novel Mechanisms and Strategies for Neural Repair)
  • Review
  • Open Access
210 Citations
16,884 Views
30 Pages

Analysis of IoT Security Challenges and Its Solutions Using Artificial Intelligence

  • Tehseen Mazhar,
  • Dhani Bux Talpur,
  • Tamara Al Shloul,
  • Yazeed Yasin Ghadi,
  • Inayatul Haq,
  • Inam Ullah,
  • Khmaies Ouahada and
  • Habib Hamam

The Internet of Things (IoT) is a well-known technology that has a significant impact on many areas, including connections, work, healthcare, and the economy. IoT has the potential to improve life in a variety of contexts, from smart cities to classr...

(This article belongs to the Special Issue Intelligent Neural Systems for Solving Real Problems)
  • Article
  • Open Access
209 Citations
19,417 Views
21 Pages

Virtual Reality for Research in Social Neuroscience

  • Thomas D. Parsons,
  • Andrea Gaggioli and
  • Giuseppe Riva

The emergence of social neuroscience has significantly advanced our understanding of the relationship that exists between social processes and their neurobiological underpinnings. Social neuroscience research often involves the use of simple and stat...

(This article belongs to the Special Issue Best Practices in Social Neuroscience)
  • Systematic Review
  • Open Access
209 Citations
22,632 Views
14 Pages

Prevalence of Anxiety, Depression, and Stress among Teachers during the COVID-19 Pandemic: A Rapid Systematic Review with Meta-Analysis

  • Naiara Ozamiz-Etxebarria,
  • Nahia Idoiaga Mondragon,
  • Juan Bueno-Notivol,
  • María Pérez-Moreno and
  • Javier Santabárbara

3 September 2021

Background: Since the beginning of the COVID-19 pandemic, teachers have been accumulating adverse psychological symptoms due to the closure of educational centers and the need to adapt to different teaching modalities. Methods: Medline and PubMed wer...

(This article belongs to the Section Neuropsychology)
  • Review
  • Open Access
200 Citations
19,259 Views
30 Pages

Advances in Glioblastoma Therapy: An Update on Current Approaches

  • Ramcharan Singh Angom,
  • Naga Malleswara Rao Nakka and
  • Santanu Bhattacharya

31 October 2023

Glioblastoma multiforme (GBM) is a primary malignant brain tumor characterized by a high grade of malignancy and an extremely unfavorable prognosis. The current efficacy of established treatments for GBM is insufficient, necessitating the prompt deve...

(This article belongs to the Section Neuropharmacology and Neuropathology)
  • Perspective
  • Open Access
200 Citations
17,848 Views
7 Pages

Post-COVID-19 Fatigue: Potential Contributing Factors

  • Thorsten Rudroff,
  • Alexandra C. Fietsam,
  • Justin R. Deters,
  • Andrew D. Bryant and
  • John Kamholz

19 December 2020

Much of the spotlight for coronavirus disease 2019 (COVID-19) is on the acute symptoms and recovery. However, many recovered patients face persistent physical, cognitive, and psychological symptoms well past the acute phase. Of these symptoms, fatigu...

  • Article
  • Open Access
198 Citations
14,044 Views
16 Pages

The studies implemented with Electroencephalogram (EEG) signals are progressing very rapidly and brain computer interfaces (BCI) and disease determinations are carried out at certain success rates thanks to new methods developed in this field. The ef...

(This article belongs to the Special Issue Advances in EEG/ MEG Source Imaging )
  • Article
  • Open Access
190 Citations
10,882 Views
19 Pages

State-of-the-Art CNN Optimizer for Brain Tumor Segmentation in Magnetic Resonance Images

  • Muhammad Yaqub,
  • Jinchao Feng,
  • M. Sultan Zia,
  • Kaleem Arshid,
  • Kebin Jia,
  • Zaka Ur Rehman and
  • Atif Mehmood

Brain tumors have become a leading cause of death around the globe. The main reason for this epidemic is the difficulty conducting a timely diagnosis of the tumor. Fortunately, magnetic resonance images (MRI) are utilized to diagnose tumors in most c...

  • Systematic Review
  • Open Access
190 Citations
42,272 Views
38 Pages

Developmental Language Disorder: Early Predictors, Age for the Diagnosis, and Diagnostic Tools. A Scoping Review

  • Alessandra Sansavini,
  • Maria Elena Favilla,
  • Maria Teresa Guasti,
  • Andrea Marini,
  • Stefania Millepiedi,
  • Maria Valeria Di Martino,
  • Simona Vecchi,
  • Nadia Battajon,
  • Laura Bertolo and
  • Maria Luisa Lorusso
  • + 18 authors

Background. Developmental Language Disorder (DLD) is frequent in childhood and may have long-term sequelae. By employing an evidence-based approach, this scoping review aims at identifying (a) early predictors of DLD; (b) the optimal age range for th...

(This article belongs to the Section Neurolinguistics)
  • Systematic Review
  • Open Access
190 Citations
31,233 Views
26 Pages

Prevalence of Developmental Dyslexia in Primary School Children: A Systematic Review and Meta-Analysis

  • Liping Yang,
  • Chunbo Li,
  • Xiumei Li,
  • Manman Zhai,
  • Qingqing An,
  • You Zhang,
  • Jing Zhao and
  • Xuchu Weng

10 February 2022

Background: Developmental dyslexia (DD) is a specific learning disorder concerning reading acquisition that may has a lifelong negative impact on individuals. A reliable estimate of the prevalence of DD serves as the basis for diagnosis, intervention...

  • Review
  • Open Access
185 Citations
25,372 Views
25 Pages

Heart Rate Variability and Pain: A Systematic Review

  • Giuseppe Forte,
  • Giovanna Troisi,
  • Mariella Pazzaglia,
  • Vilfredo De Pascalis and
  • Maria Casagrande

24 January 2022

Background and Objective: Heart rate variability (HRV) as an index of the autonomic nervous system appears to be related to reactivity to experimental pain stimuli. HRV could better explain the contributions of sympathetic and parasympathetic activit...

(This article belongs to the Section Sensory and Motor Neuroscience)
  • Review
  • Open Access
181 Citations
15,448 Views
21 Pages

The Role of Movement Analysis in Diagnosing and Monitoring Neurodegenerative Conditions: Insights from Gait and Postural Control

  • Christopher Buckley,
  • Lisa Alcock,
  • Ríona McArdle,
  • Rana Zia Ur Rehman,
  • Silvia Del Din,
  • Claudia Mazzà,
  • Alison J. Yarnall and
  • Lynn Rochester

6 February 2019

Quantifying gait and postural control adds valuable information that aids in understanding neurological conditions where motor symptoms predominate and cause considerable functional impairment. Disease-specific clinical scales exist; however, they ar...

(This article belongs to the Special Issue Diagnosis of Neurogenetic Disorders: Contribution of Next Generation Sequencing and Deep Phenotyping)
  • Article
  • Open Access
181 Citations
9,556 Views
16 Pages

Differential Deep Convolutional Neural Network Model for Brain Tumor Classification

  • Isselmou Abd El Kader,
  • Guizhi Xu,
  • Zhang Shuai,
  • Sani Saminu,
  • Imran Javaid and
  • Isah Salim Ahmad

The classification of brain tumors is a difficult task in the field of medical image analysis. Improving algorithms and machine learning technology helps radiologists to easily diagnose the tumor without surgical intervention. In recent years, deep l...

(This article belongs to the Section Neural Engineering, Neuroergonomics and Neurorobotics)
  • Review
  • Open Access
178 Citations
24,636 Views
14 Pages

17 August 2017

Awareness of mild traumatic brain injury (mTBI) and persisting post-concussive syndrome (PCS) has increased substantially in the past few decades, with a corresponding increase in research on diagnosis, management, and treatment of patients with mTBI...

(This article belongs to the Special Issue Mild Traumatic Brain Injury (mTBI): Medical Treatments and Complications)
  • Review
  • Open Access
174 Citations
88,193 Views
27 Pages

Sex: A Significant Risk Factor for Neurodevelopmental and Neurodegenerative Disorders

  • Paulo Pinares-Garcia,
  • Marielle Stratikopoulos,
  • Alice Zagato,
  • Hannah Loke and
  • Joohyung Lee

13 August 2018

Males and females sometimes significantly differ in their propensity to develop neurological disorders. Females suffer more from mood disorders such as depression and anxiety, whereas males are more susceptible to deficits in the dopamine system incl...

(This article belongs to the Special Issue Sex Differences in the Healthy and Diseased Brain)
  • Review
  • Open Access
170 Citations
10,752 Views
28 Pages

Due to its safety, portability, and cheapness, transcranial direct current stimulation (tDCS) use largely increased in research and clinical settings. Despite tDCS’s wide application, previous works pointed out inconsistent and low replicable r...

(This article belongs to the Special Issue The Modulatory Role of Non-invasive Brain Stimulation Techniques on Cognitive Functions: Hints from Significant and Null Results)
  • Article
  • Open Access
167 Citations
11,806 Views
13 Pages

Probiotics Alleviate the Progressive Deterioration of Motor Functions in a Mouse Model of Parkinson’s Disease

  • Tsung-Hsun Hsieh,
  • Chi-Wei Kuo,
  • Kai-Hsuan Hsieh,
  • Meng-Jyh Shieh,
  • Chih-Wei Peng,
  • Yen-Chien Chen,
  • Ying-Ling Chang,
  • Ying-Zu Huang,
  • Chih-Chung Chen and
  • Hsin-Yung Chen
  • + 2 authors

Parkinson’s disease (PD) is one of the common long-term degenerative disorders that primarily affect motor systems. Gastrointestinal (GI) symptoms are common in individuals with PD and often present before motor symptoms. It has been found that...

(This article belongs to the Special Issue Brain–Microbiome Interactions)
  • Review
  • Open Access
166 Citations
18,320 Views
17 Pages

Major Depressive Disorder Is Associated with Impaired Interoceptive Accuracy: A Systematic Review

  • Michael Eggart,
  • Andreas Lange,
  • Martin J. Binser,
  • Silvia Queri and
  • Bruno Müller-Oerlinghausen

Interoception is the sense of the physiological condition of the entire body. Impaired interoception has been associated with aberrant activity of the insula in major depressive disorder (MDD) during heartbeat perception tasks. Despite clinical relev...

(This article belongs to the Special Issue Collection on Clinical Neuroscience)
  • Article
  • Open Access
165 Citations
31,517 Views
16 Pages

Although the study of autism is burgeoning with important implications both for public health and society, there is little research exploring the experiences of raising a child with autism spectrum disorder (ASD) from the maternal perspective. The ai...

  • Review
  • Open Access
165 Citations
14,984 Views
23 Pages

A Review of Machine Learning Methods of Feature Selection and Classification for Autism Spectrum Disorder

  • Md. Mokhlesur Rahman,
  • Opeyemi Lateef Usman,
  • Ravie Chandren Muniyandi,
  • Shahnorbanun Sahran,
  • Suziyani Mohamed and
  • Rogayah A Razak

7 December 2020

Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric Association, is a neurodevelopmental disorder that includes deficits of social communication and social interaction with the presence of restricted and repetitive behavior...

  • Review
  • Open Access
164 Citations
15,102 Views
12 Pages

The Involvement of Hypothalamus–Pituitary–Adrenal (HPA) Axis in Suicide Risk

  • Isabella Berardelli,
  • Gianluca Serafini,
  • Natalia Cortese,
  • Federica Fiaschè,
  • Rory C O’Connor and
  • Maurizio Pompili

21 September 2020

Stress and Hypothalamic–Pituitary–Adrenal (HPA) axis dysregulation play a major role in various pathophysiological processes associated with both mood disorders and suicidal behavior. We conducted a systematic review with the primary aim...

(This article belongs to the Special Issue Peripheral Biomarkers of Mental Disorders and Related Clinical Features)
  • Review
  • Open Access
163 Citations
104,512 Views
10 Pages

26 January 2018

Our actions can be triggered by intentions, incentives or intrinsic values. Recent neuroscientific research has yielded some results about the growth mindset and intrinsic motivation. With the advances in neuroscience and motivational studies, there...

(This article belongs to the Special Issue Neurological Research on Learning, Reward and Decision Making)
  • Feature Paper
  • Article
  • Open Access
163 Citations
25,682 Views
8 Pages

Autonomic Dysfunction after Mild Traumatic Brain Injury

  • Dmitry Esterov and
  • Brian D. Greenwald

11 August 2017

A mild traumatic brain injury (mTBI) is a complex pathophysiologic process that has a systemic effect on the body aside from solely an impairment in cognitive function. Dysfunction of the autonomic nervous system (ANS) has been found to induce abnorm...

(This article belongs to the Special Issue Mild Traumatic Brain Injury (mTBI): Medical Treatments and Complications)
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