Search Results (46)

Background and Objectives: Central facial paralysis following stroke may affect oral motor control and swallowing function; however, its role in dysphagia-related impairments remains unclear. This study aimed to investigate the relationship between facial motor impairment, swallowing function, and oral motor dysfunction in patients with post-stroke central facial paralysis. Methods: This cross-sectional observational study included 80 patients with ischemic or hemorrhagic stroke accompanied by central facial paralysis. Facial motor function was evaluated using the Sunnybrook Facial Grading System. Swallowing function was assessed using the Eating Assessment Tool-10 (EAT-10), Repetitive Saliva Swallowing Test (RSST), and Functional Oral Intake Scale (FOIS). Oral motor dysfunction was evaluated using a clinician-based oral motor assessment form. Correlation and exploratory regression analyses were performed. Results: Significant associations were identified between facial motor function, swallowing measures, and oral motor parameters (all p < 0.001). Sunnybrook scores showed strong negative correlations with EAT-10 scores (r = −0.954) and positive correlations with RSST (r = 0.914) and FOIS scores (r = 0.915). In exploratory regression analyses, NIHSS emerged as an important contributor to swallowing-related outcomes. Labial and tongue functions were independently associated with RSST performance, whereas labial, velar, and buccal functions were independently associated with EAT-10 scores. Velar function was the only oral motor variable independently associated with FOIS levels. Conclusions: Facial motor function, oral motor dysfunction, and swallowing-related measures were significantly associated in individuals with post-stroke central facial paralysis. Overall, neurological severity also contributed substantially to swallowing-related outcomes. These findings may suggest a potential association between oral motor dysfunction and swallowing-related outcomes and may warrant consideration in comprehensive dysphagia evaluation. However, the observed relationships should be interpreted as exploratory and require confirmation in future studies using validated assessment tools and instrumental swallowing measures. Full article

Electroencephalogram (EEG)-based brain–computer interfaces (BCIs) offer a promising pathway for restoring communication. Decoding tonal languages like Mandarin from EEG remains challenging due to homophones and complex temporal dynamics. This study investigates the decoding of six high-frequency Mandarin action verbs—Chi (eat), He (drink), Chuan (wear), Na (take), Kan (look), and Dai (put on)—from EEG signals. We designed a visual-cue-based overt speech production experiment and collected EEG data from 30 participants during visually guided verb reading aloud. A recurrent neural network framework incorporating dual Long Short-Term Memory (LSTM) layers was implemented to model the long-range temporal dependencies in EEG patterns. The proposed model was compared against a traditional Common Spatial Pattern combined with Support Vector Machine (CSP-SVM) baseline. Our LSTM-based model achieved an average classification accuracy of 69.93% ± 3.07% for the six-class task, significantly outperforming the CSP-SVM baseline (36.53% ± 3.17%). Accuracy exceeded 75% under specific training conditions, including more than 15 training repetitions and a training-data proportion of 38%. Furthermore, the model attained this performance level utilizing approximately 38% of the available trial data for training, demonstrating data efficiency. The results indicate that the LSTM architecture can effectively capture the neural signatures associated with Mandarin verb processing, providing a foundation for developing practical EEG-based assistive communication technologies. The inference latency of the trained model, quantified as the post-training per-trial testing time, was under 2 s, supporting near-real-time applications. Full article

Background: Body-focused repetitive behaviors (BFRB), including compulsive skin picking, are observed in patients with anorexia nervosa (AN). However, their functional significance remains unclear. AN is characterized by chronic energy restriction and altered interoceptive processing, which may contribute to persistent internal tension beyond overt eating symptoms. This study aimed to explore the functional meaning of compulsive skin picking as a potential behavioral marker of emotional and interoceptive dysregulation relevant to clinical assessment and treatment planning. Methods: A qualitative descriptive study was conducted among 33 hospitalized patients with AN who reported recurrent skin picking leading to tissue damage. Patients were undergoing structured nutritional rehabilitation. Individual semi-structured interviews were performed. Results: Patients with AN described a consistent emotional and physiological sequence preceding skin picking: increased internal tension followed by short-term relief and subsequent self-directed negative emotions. Episodes occurred in contexts of emotional overload, understimulation, reduced emotional awareness, and, in some cases, hunger- or meal-related stress. Participants described the behavior as partly intentional, serving to reduce tension, but at times occurring almost automatically. It was closely connected with eating-related anxiety and dissatisfaction with the body. Conclusions: The findings indicate that compulsive skin picking in AN may reflect underlying emotional and interoceptive instability, instead of being an unrelated co-occurring symptom. In the broader context of chronic energy restriction, such behaviors may reflect attempts to modulate internally generated physiological arousal. Incorporating routine assessment of BFRB into clinical practice could improve the identification of ongoing emotional instability and support more coordinated multidisciplinary care. Future studies combining qualitative insights with physiological measures would help clarify the mechanisms underlying this association. Full article

Eating disorders (EDs) disproportionately affect women and are associated with substantial morbidity, chronicity, and mortality. While established psychological models focus on the content of maladaptive cognitions related to body weight, shape, and eating behaviors, growing evidence suggests that additional process-level mechanisms contribute to symptom persistence and treatment resistance. Metacognitive models emphasize how individuals relate to their thoughts, emotions, and internal experiences, highlighting maladaptive beliefs about thinking and the resulting cognitive–attentional patterns (e.g., repetitive negative thinking, self-focused attention, and inflexible attentional control) as potential maintaining factors across psychopathology. This narrative review synthesizes the theoretical and empirical literature on metacognitive dysfunction in EDs, with a focus on mechanisms that may be particularly relevant for women. We integrate epidemiological data and gender-sensitive frameworks, and review evidence on metacognitive beliefs and cognitive–attentional syndrome (CAS)-related processes across anorexia nervosa, bulimia nervosa, and binge-eating disorder. Overall, studies indicate that dysfunctional beliefs about the uncontrollability and danger of thoughts, alongside perseverative cognitive styles, are associated with greater ED symptom severity. We discuss diagnosis-relevant patterns as clinically useful heuristics, interactions with sociocultural and emotional vulnerability factors, and implications for assessment, treatment integration, and prevention. The evidence base is largely correlational and derived from predominantly female samples, underscoring the need for longitudinal research and studies that explicitly test sex/gender as a moderator. Full article

This comprehensive review synthesizes current advances and persistent challenges in integrating worker safety and food safety through human-robot collaboration (HRC) in poultry processing. Rapid industry expansion and rising consumer demand for ready-to-eat poultry products have heightened occupational risks and foodborne contamination concerns, necessitating holistic safety strategies. The review examines ergonomic, microbiological, and regulatory risks specific to poultry lines, and maps how state-of-the-art collaborative robots (“cobots”)—including power and force-limiting arms, adaptive soft grippers, machine vision, and biosensor integration—can support safer, more hygienic, and more productive operations. The authors analyze technical scientific literature (2018–2025) and real-world case studies, highlighting how automation (e.g., vision-guided deboning and intelligent sanitation) can reduce repetitive strain injuries, lower contamination rates, and improve production consistency. The review also addresses the psychological and sociocultural dimensions that affect workforce acceptance, as well as economic and regulatory barriers to adoption, particularly in small- and mid-sized plants. Key research gaps include gripper adaptability, validation of food safety outcomes in mixed human-cobot workflows, and the need for deeper workforce retraining and feedback mechanisms. The authors propose a multidisciplinary roadmap: harmonizing ergonomic, safety, and hygiene standards; developing adaptive food-grade robotic end-effectors; fostering explainable AI for process transparency; and advancing workforce education programs. Ultimately, successful HRC deployment in poultry processing will depend on continuous collaboration among industry, researchers, and regulatory authorities to ensure both safety and competitiveness in a rapidly evolving global food system. Full article

Background: Children with autism spectrum disorder (ASD) frequently experience eating-related behavioral difficulties; however, the relationships among these difficulties, core ASD deficits, and executive function remain poorly understood. The present study examined how core ASD characteristics—restrictive and repetitive behaviors (RRBs) and social impairments—relate to eating behaviors, including food approach and avoidance tendencies. In addition, the study explored whether executive function serves as a mediating mechanism underlying these associations. Methods: A total of 184 children aged 3–12 years participated in this cross-sectional study. All variables were measured using parent-reported questionnaires, and data were analyzed through path modeling. The Social Responsiveness Scale–Second Edition (SRS-2) and the Repetitive Behavior Scale–Revised (RBS-R) were employed to assess social impairments and RRBs, respectively. Eating behaviors—comprising food approach and food avoidance dimensions—were evaluated with the Children’s Eating Behavior Questionnaire (CEBQ), while executive function was measured using the Child Executive Functioning Inventory (CHEXI). Results: The analysis revealed significant associations between RRBs and both food approach and food avoidance behaviors in children with ASD. Crucially, follow-up regression analyses specifying RRBs subtypes showed that Stereotyped Behavior independently predicted both food approach (β = 0.305, p < 0.001) and avoidance (β = 0.217, p = 0.002), while Compulsive Behavior specifically predicted food avoidance (β = 0.173, p = 0.021). Furthermore, executive function appeared to serve as a potential mediator in these relationships, suggesting that impairments in executive control may partially explain how repetitive behaviors influence eating patterns. Although social impairments showed weaker direct associations with eating behaviors, they indirectly affected both food approach and avoidance behaviors through deficits in executive function, highlighting the complex interplay among behavioral, cognitive, and social domains in ASD. Conclusions: These findings indicate that RRBs—one of the core characteristics of ASD—can predict children’s eating behaviors and are concurrently linked to two seemingly opposite eating patterns. Both social impairments and RRBs appear to influence eating behaviors through executive dysfunction. This study provides new insights into the mechanisms underlying atypical eating behaviors in children with ASD and identifies executive function as a promising target for interventions aimed at improving eating-related outcomes in this population. Full article

Background/Objectives: Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by persistent social communication difficulties and restricted, repetitive behaviors, with prevalence estimates continuing to rise worldwide. The gut–brain axis has been proposed as a potential contributor to ASD, yet human studies yield inconsistent findings, partly due to confounding effects of diet and behavior. Methods: Here, we investigated the gut bacteriome and mycobiome of children with ASD (n = 17) compared with their non-ASD siblings (n = 9) and parents without ASD (n = 27), alongside detailed assessment of dietary intake (n = 79) using 7-day food diaries. Results: Multi-kingdom microbiome profiling revealed no significant differences in α- or β- diversity across ASD, sibling, and parental groups, with only minor taxonomic variation observed. Similarly, fungal community composition showed negligible group-level differences. By contrast, dietary patterns strongly differentiated ASD from non-ASD participants: children with ASD consumed higher levels of sweets and sugary foods, lower portions of vegetables, and exhibited reduced overall dietary diversity. Statistical analyses confirmed that dietary factors, rather than microbial composition, explained variation in ASD diagnosis. Conclusions: These findings suggest that selective and repetitive eating behaviors are characteristic of ASD shape dietary intake, which in turn influences gut microbial diversity. Thus, in humans, the directionality may run primarily from behavior to diet to microbiome, rather than from microbiome to behavior. Our results underscore the importance of incorporating dietary variables into microbiome research and highlight the need for targeted nutritional interventions to improve health outcomes in individuals with ASD. Full article

The daily behavioral patterns of giraffes reflect their health status and well-being. Behaviors such as licking, walking, standing, and eating are not only essential components of giraffes’ routine activities but also serve as potential indicators of their mental and physiological conditions. This is particularly relevant in captive environments such as zoos, where certain repetitive behaviors may signal underlying well-being concerns. Therefore, developing an efficient and accurate automated behavior detection system is of great importance for scientific management and welfare improvement. This study proposes a multi-behavior automatic detection method for giraffes based on YOLO11-Pose and the spatial-adaptive two-stream network (SATSN). Firstly, YOLO11-Pose is employed to detect giraffes and estimate the keypoints of their mouths. Observation-Centric SORT (OC-SORT) is then used to track individual giraffes across frames, ensuring temporal identity consistency based on the keypoint positions estimated by YOLO11-Pose. In the SATSN, we propose a region-of-interest extraction strategy for licking behavior to extract local motion features and perform daily behavior classification. In this network, the original 3D ResNet backbone in the slow pathway is replaced with a video transformer encoder to enhance global spatiotemporal modeling, while a Temporal Attention (TA) module is embedded in the fast pathway to improve the representation of fast motion features. To validate the effectiveness of the proposed method, a giraffe behavior dataset consisting of 420 video clips (10 s per clip) was constructed, with 336 clips used for training and 84 for validation. Experimental results show that for the detection tasks of licking, walking, standing, and eating behaviors, the proposed method achieves a mean average precision (mAP) of 93.99%. This demonstrates the strong detection performance and generalization capability of the approach, providing robust support for automated multi-behavior detection and well-being assessment of giraffes. It also lays a technical foundation for building intelligent behavioral monitoring systems in zoos. Full article

Background/Objectives: Autism Spectrum Disorder (ASD) is characterized by social communication challenges and repetitive behaviors. Children with ASD often exhibit selective eating habits that may result in nutritional deficiencies and exacerbate developmental issues. While food frequency questionnaires (FFQs) are effective for dietary assessment, the links between food preferences, ASD severity, and developmental outcomes remain underexplored, particularly in Bulgaria. This study examines these relationships using validated tools. Methods: The present report constitutes a pilot, hypothesis-generating substudy of the broader NutriLect project. This substudy involved 49 children aged 2–12 years diagnosed with ASD. Dietary patterns were evaluated with a modified FFQ, while ASD severity and developmental profiles were assessed using the Childhood Autism Rating Scale, Second Edition (CARS-2) and the Developmental Profile 3 (DP-3). Results: Among 49 ASD children (mean age = 6.89 ± 2.15 years; 86% boys), 73.4% consumed grains/potatoes daily. Only 34.7% met combined fruit and vegetable recommendations. Only 36.7% met the recommendation for daily milk or other dairy product consumption. Fish was consumed at least twice weekly by only 22,4%. Furthermore, children with more severe autism were approximately 9.4 times more likely to consume grains daily (χ² = 14.319, p = 0.006). Logistic regression analyses indicated that higher cognitive scores were strongly associated with lower grain (OR ≈ 0.044) and other dairy products consumption (OR ≈ 0.337), yet with greater fish intake (OR ≈ 3.317). In contrast, better communication skills corresponded to increased milk consumption (OR ≈ 5.76), and higher physical development scores predicted more frequent egg consumption (OR ≈ 4.40). Conclusions: The pronounced preference for grain and meat products, which are frequently ultra-processed, and avoidance of nutrient-dense foods in children with severe ASD symptoms underscore the need for tailored dietary interventions. These interventions must address sensory sensitivities, nutritional inadequacies, and the risks that selective nutrition can have on the nutritional status and development of the children. Full article

Background/Objectives: Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder characterized by difficulties in social interaction, communication, and repetitive behaviors. Recent evidence indicates a significant relationship between ASD and imbalances in microbiota, particularly in the oral and gastrointestinal areas. This review examines the impact of oral microbiota, self-injurious behaviors (SIB), sensory sensitivity, and dietary choices on the comorbidities associated with ASD. Methods: An extensive literature review was conducted using PubMed and Scopus. The focus was on human studies with full-text availability, utilizing search terms related to ASD, oral health, oral microbiota, and neurodevelopmental disorders. The research was evaluated for methodological quality and its relevance to the connections between microbiota, oral health, and ASD. Results: Individuals with ASD face unique oral health challenges, including injuries from self-injurious behaviors and increased sensory sensitivity, which complicate oral hygiene and care. Selective eating can lead to nutritional deficiencies and worsen oral health issues. Dysbiosis in oral and gut microbiota, marked by altered levels of acetate, propionate, and butyrate, interferes with gut-brain and oral-brain connections, contributing to behavioral and neurological symptoms. Treatment options such as probiotics, fecal microbiota transfer, and sensory integration therapies can potentially alleviate symptoms and improve quality of life. Conclusions: The relationship between ASD, oral health, and microbiota suggests a bidirectional influence through neuroinflammatory mechanisms and metabolic disturbances. Proactive strategies focusing on microbiota and dental health may help reduce comorbidities and enhance the overall management of ASD, underscoring the need for further research into microbiota–host interactions and their therapeutic potential. Full article

Background: Time-restricted eating (TRE) has gained attention as a novel dietary intervention that restricts the daily eating window, potentially offering improved metabolic health and body composition. Nevertheless, whether early TRE (eTRE) or delayed TRE (dTRE) best enhances resistance training (RT) adaptations remains unclear. Methods: In this 8-week randomized study, 24 healthy young women with limited RT experience were assigned into one of three groups: eTRE (an 8:00 AM–2:00 PM feeding window), dTRE (12:00 PM–6:00 PM), or the control (8:00 AM–8:00 PM). Apart from the timing restrictions, no further dietary guidance was provided. All of the participants performed standardized knee-supported push-ups (4 sets × 10 reps, three sessions/week). The primary outcomes included body weight, the thickness of the triceps brachii long head (measured via ultrasound), and push-up endurance. Results: The eTRE group achieved a significant reduction in body weight (−2.61 ± 1.06 kg; p < 0.001), which surpassed the changes observed in both the dTRE (−1.44 ± 1.12 kg) and control (−0.48 ± 0.64 kg) groups. However, no significant between-group differences emerged for muscle thickness or push-up performance. All groups showed comparable improvements in triceps brachii thickness (a 1.36–1.55 mm increase) and push-up endurance (62–74 additional repetitions). Conclusions: Early TRE (8:00 AM–2:00 PM) appears to be more beneficial than delayed TRE (12:00 PM–6:00 PM) for weight management when combined with RT, yet both TRE regimens result in similar improvements in muscle thickness and endurance. These findings suggest that optimizing meal timing in alignment with circadian rhythms may enhance weight control without hindering muscle adaptations, providing a practical approach for individuals seeking to lose weight while preserving or increasing their muscular fitness. Future research involving larger samples and diverse populations is warranted to confirm these results and clarify the underlying metabolic mechanisms. Full article

Autism spectrum disorder (ASD) is a neurodevelopmental condition characterized by challenges in social communication, restricted interests, and repetitive behaviors. It is also associated with a high prevalence of eating disorders, gastrointestinal (GI) symptoms, and alterations in gut microbiota composition. One of the most pressing concerns is food selectivity. Various eating disorders, such as food neophobia, avoidant/restrictive food intake disorder (ARFID), specific dietary patterns, and poor-quality diets, are commonly observed in this population, often leading to nutrient deficiencies. Additionally, gastrointestinal problems in children with ASD are linked to imbalances in gut microbiota and immune system dysregulation. The aim of this narrative review is to identify previous associations between the gut–brain axis and gastrointestinal problems in ASD. We discuss the impact of the “microbiome–gut–brain axis”, a bidirectional connection between gut microbiota and brain function, on the development and symptoms of ASD. In gastrointestinal problems associated with ASD, a ‘vicious cycle’ may play a significant role: ASD symptoms contribute to the prevalence of ARFID, which in turn leads to microbiota degradation, ultimately worsening ASD symptoms. Current data suggest a link between gastrointestinal problems in ASD and the microbiota, but the amount of evidence is limited. Further research is needed, targeting the correlation of a patient’s microbiota status, dietary habits, and disease course. Full article

Background/objective: Weight regain has serious health consequences after bariatric surgery, and disordered eating behaviors (EBs) may be involved in it. We compared disordered EB symptoms in post-bariatric patients according to low vs. high ratio of weight regain (RWR) and investigated associations between disordered EB symptoms with weight regain and time since surgery. Method: We recruited ninety-four patients who had undergone laparoscopic Roux-en-Y gastric bypass or sleeve gastrectomy. All of them had not attended follow-up with the multidisciplinary healthcare team (including psychological assessment) for at least one year. RWR was calculated with respect to maximal weight loss by the nadir weight achieved after surgery. Patients were divided into two groups: high RWR (≥20%) or low RWR (<20%). At their first visit, we had them complete the Eating Disorder Examination and Repetitive Eating Questionnaires (EDE-Q and Rep(eat)-Q). Results: Patients with high RWR reported higher EDE-Q global, dietary restraint and weight concerns without significant group differences in eating and shape concerns. Compared to those patients with low RWR, these patients also indicated greater Rep(eat)-Q global, compulsive grazing and repetitive eating. Global EDE-Q score, eating concern, shape concern, weight concern and all Rep(eat)-Q indexes were positively associated with higher RWR. Conclusions: Disordered EBs occurred more frequently in the group with high RWR. In these patients, eating behavior symptoms and grazing behavior were both correlated to the RWR, suggesting a possible involvement of both conditions in weight regain. Full article

Introduction: Bulimia nervosa (BN) is a disorder primarily affecting adolescent females, characterized by episodes of binge eating followed by inappropriate compensatory behaviors aimed at preventing weight gain, including self-induced vomiting and the misuse of diuretics, laxatives, and insulin. The precise etiology of BN remains unknown, with factors such as genetics, biological influences, emotional disturbances, societal pressures, and other challenges contributing to its prevalence. First-line treatment typically includes pharmacotherapy, which has shown moderate effectiveness. Neuroimaging evidence suggests that altered brain activity may contribute to the development of BN, making interventions that directly target the brain extremely valuable. One such intervention is repetitive transcranial magnetic stimulation (rTMS), a non-invasive stimulation technique that has been garnering interest in the medical community for many years. Methods: This review explores the use of rTMS in the treatment of BN. Searches were conducted in the PubMed/Medline, ResearchGate, and Cochrane databases. Results: Twelve relevant studies were identified. Analysis of the results from these studies reveals promising findings, particularly regarding key parameters in the pathophysiology of BN. Several studies assessed the impact of rTMS on binge episodes. While some studies did not find significant reductions, most reported decreases in binge eating and purging behaviors, with some cases showing complete remission. Reductions in symptoms of depression and food cravings were also demonstrated. However, results regarding cognitive improvement were mixed. The discussion focused heavily on potential mechanisms of action, including neuromodulation of brain networks, induction of neuroplasticity, impact on serotonergic dysfunction, anti-inflammatory action, and HPA axis modulation. rTMS was found to be a safe intervention with no serious side effects. Conclusions: rTMS in the treatment of BN appears to be a promising intervention that alleviates some symptoms characteristic of the pathophysiology of this disorder. An additional effect is a significant reduction in depressive symptoms. However, despite these findings, further research is required to confirm its effectiveness and elucidate the mechanisms of action. It is also recommended to further investigate the potential mechanisms of action described in this review. Full article

While many studies have described the association between cognitive decline and eating habits, little attention has been paid to its association with cheese intake. In this epidemiological study of 1035 community-dwelling women aged ≥ 65, we investigated the association between intake/type of cheese and cognitive function. The anthropometry, functional ability, and the frequency of food intake, including cheese, were assessed. The mini-mental state examination (MMSE) was used to assess cognitive function, and a score of 20–26 was operationally defined as mild cognitive decline. We found that the MMSE score was significantly different between the presence of cheese intake and not (cheese intake: 28.4 ± 1.9; non-cheese intake: 27.6 ± 2.4) and between those who consumed Camembert cheese and those who did not (Camembert cheese: 28.7 ± 1.4; others: 28.3 ± 2.0). After adjusting for confounders, multiple logistic regression identified four independent variables significantly associated with mild cognitive decline: Camembert cheese intake (odds ratio = 0.448, 95% confidence interval = 0.214–0.936), age, usual walking speed, and repetitive saliva swallowing test scores. Our results, while based on cross-sectional data from Japanese community-dwelling older women, identified the significant inverse association between Camembert cheese intake and mild cognitive decline. Full article