Restricted Behaviors Research Articles

Dietary intake and gastrointestinal symptoms are altered in children with Autism Spectrum Disorder: the relative contribution of autism-linked traits

BackgroundDietary and gastrointestinal (GI) problems have been frequently reported in autism spectrum disorder (ASD). However, the relative contributions of autism-linked traits to dietary and GI problems in children with ASD are poorly understood. This study firstly compared the dietary intake and GI symptoms between children with ASD and typically developing children (TDC), and then quantified the relative contributions of autism-linked traits to dietary intake, and relative contributions of autism-linked traits and dietary intake to GI symptoms within the ASD group.MethodsA sample of 121 children with ASD and 121 age-matched TDC were eligible for this study. The dietary intake indicators included food groups intakes, food variety, and diet quality. The autism-linked traits included ASD symptom severity, restricted repetitive behaviors (RRBs), sensory profiles, mealtime behaviors, and their subtypes. Linear mixed-effects models and mixed-effects logistic regression models were used to estimate the relative contributions.ResultsChildren with ASD had poorer diets with fewer vegetables/fruits, less variety of food, a higher degree of inadequate/unbalanced dietary intake, and more severe constipation/total GI symptoms than age-matched TDC. Within the ASD group, compulsive behavior (a subtype of RRBs) and taste/smell sensitivity were the only traits associated with lower vegetables and fruit consumption, respectively. Self-injurious behavior (a subtype of RRBs) was the only contributing trait to less variety of food. Limited variety (a subtype of mealtime behavior problems) and ASD symptom severity were the primary and secondary contributors to inadequate dietary intake, respectively. ASD symptom severity and limited variety were the primary and secondary contributors to unbalanced dietary intake, respectively. Notably, unbalanced dietary intake was a significant independent factor associated with constipation/total GI symptoms, and autism-linked traits manifested no contributions.ConclusionsASD symptom severity and unbalanced diets were the most important contributors to unbalanced dietary intake and GI symptoms, respectively. Our findings highlight that ASD symptom severity and unbalanced diets could provide the largest benefits for the dietary and GI problems of ASD if they were targeted for early detection and optimal treatment.

Characterizing individual differences in children and adolescents with autism spectrum disorder: a descriptive study.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by a higher prevalence in male than in female participants. Recent studies have hypothesized the presence of different phenotypes in male and female participants with ASD. The present study aims to assess possible sex differences in cognitive and adaptive functioning, symptomatology of ASD, and psychopathological comorbidities in a large sample of children and adolescents with ASD. The study included a total of 2,146 children and adolescents diagnosed with ASD, comprising 1785 boys (mean age 7.12 ± 3.69 years) and 361 girls (mean age 6.25 ± 3.30 years). The age of the participants ranged from 1.35 to 19.05 years (mean age 9.98 ± 3.64). The study sought to include all children and adolescents diagnosed with Autism or ASD. Present results showed that girls with ASD had lower IQs than boys but similar adaptive functioning. The severity of symptoms of ASD was greater in boys than in girls, as were scores on psychopathological measures. With increasing age, boys with ASD showed greater impairment in social communication skills than girls and increased psychopathological comorbidities. Older girls showed fewer restricted and repetitive behaviors. Exploring phenotypic differences in children and adolescents with ASD fosters an understanding of subtle diagnostic facets that may go unrecognized, allowing for increasingly individualized and tailored interventions.

Exploring the presence of a sex-specific phenotype of autism spectrum disorder in a random cohort of males and females: a retrospective case note service audit

Purpose Recent research has proposed a specific female phenotype within autism spectrum disorder (ASD). It suggests females exhibit differences in social communication styles with higher levels of camouflaging and compensatory strategies, as well as variance in restrictive repetitive behaviours (RRBs); however, many existing studies have been based on either small, disproportionate or child and adolescent samples, leaving questions about the specific phenotype. This study aims to explore the sex difference and phenotype in a clinic sample of individuals diagnosed with autism. Design/methodology/approach A service evaluation of sex/ gender differences on 150 historical ASD assessment reports (75 males, 75 females) using a 103-item questionnaire developed from a quantitative review of existing literature was undertaken. Findings Females camouflaged more significantly than males in five different areas (thinking how to act next, preparing conversation in advance, making lists of prompts/social responses, wearing a mask/acting, less monotone voice); however, these were not maintained in post-analysis correction. Originality/value This study points the evidence towards a different phenotype of Autism that is more common in women than men rather than a unique female phenotype.

Determining factors of physical activity and sedentary behaviour in university students during the COVID-19 pandemic: A longitudinal study.

Historically, university students demonstrate poor movement behaviours that could negatively impact current and future health. Recent literature has focused on identifying determinants of physical activity (PA) and sedentary behaviour (SB) in this population to inform the development of intervention strategies. However, the COVID-19 pandemic substantially restricted movement behaviours in this population, meaning findings of previous research may no longer be applicable within the current societal context. The present study explored the longitudinal relationships between pre-pandemic psychological, behavioural and anthropometric factors, and the movement behaviours of UK university students nine months following the outbreak of COVID-19. Mental wellbeing (MWB), perceived stress (PS), body mass index (BMI), SB, and PA were assessed using an online self-report survey in 255 students prior to (October 2019) and nine months following (October 2020) the first confirmed case of COVID-19 in the UK. Path analysis was utilised to test relationships between pre-COVID mental wellbeing, perceived stress and BMI, and movement behaviours during the pandemic. The fit of the path analysis model was good (χ2 = 0.01; CMIN = 0.10, CFI = 1.00, RMSEA = 0.00). Pre-covid MWB and PS positively influenced PA (β = 0.29; β = 0.24; P < 0.01) but not SB (β = -0.10; β = 0.00; P = 0.79) during the pandemic. Additionally, pre-pandemic SB and PA positively influenced SB and PA during the pandemic respectively (SB: β = 0.26; P < 0.01) (PA: β = 0.55; P < 0.01). Pre-pandemic BMI did not influence any measured variable during the pandemic (PA: β = 0.03 and P = 0.29; SB: β = 0.06 and P = 0.56), and there was no mediating effect of PA on SB during the pandemic (β = -0.26; P = 0.14). These findings indicate that pre-covid mental health and movement behaviours had a direct positive influence on PA during the pandemic, but not SB. This longitudinal study demonstrates the influence that prior psychological and behavioural factors have in determining university students' response to periods of elevated stress and uncertainty, furthering our understanding of determinants of health-related behaviours in students.

Combined repetitive transcranial magnetic stimulation and gut microbiota modulation through the gut-brain axis for prevention and treatment of autism spectrum disorder.

Autism spectrum disorder (ASD) encompasses a range of neurodevelopmental conditions characterized by enduring impairments in social communication and interaction together with restricted repetitive behaviors, interests, and activities. No targeted pharmacological or physical interventions are currently available for ASD. However, emerging evidence has indicated a potential association between the development of ASD and dysregulation of the gut-brain axis. Repetitive transcranial magnetic stimulation (rTMS), a noninvasive diagnostic and therapeutic approach, has demonstrated positive outcomes in diverse psychiatric disorders; however, its efficacy in treating ASD and its accompanying gastrointestinal effects, particularly the effects on the gut-brain axis, remain unclear. Hence, this review aimed to thoroughly examine the existing research on the application of rTMS in the treatment of ASD. Additionally, the review explored the interplay between rTMS and the gut microbiota in children with ASD, focusing on the gut-brain axis. Furthermore, the review delved into the integration of rTMS and gut microbiota modulation as a targeted approach for ASD treatment based on recent literature. This review emphasizes the potential synergistic effects of rTMS and gut microbiota interventions, describes the underlying mechanisms, and proposes a potential therapeutic strategy for specific subsets of individuals with ASD.

Preconception weight suppression predicts eating disorder symptoms in pregnancy.

Disordered eating is common in pregnancy and associated with adverse health outcomes. Weight suppression (WS), the discrepancy between highest lifetime and current weight, is a robust predictor of loss of control (LOC) and binge eating and weight gain trajectories in clinical populations. This study explored the role of preconception WS as a predictor of disordered eating and weight gain in pregnancy. Pregnant individuals (n=137) reported their highest, preconception, and current weights to calculate preconception WS, actual gestational weight gain (GWG), and deviations from recommended weight gain trajectories in pregnancy. Participants also completed the Prenatal Eating Behaviours Screening (PEBS) tool, a validated measure of disordered eating specifically in pregnancy. Preconception WS was a significant predictor of PEBS total scores [F(5, 122)=2.70, p=0.02, R2=0.10] and significantly and positively correlated with individual item scores quantifying restrictive eating behaviours. Preconception WS was not predictive of deviations from recommended GWG trajectories or LOC or binge eating frequency and did not interact with pre-pregnancy body mass index or GWG to predict eating disorder symptom severity. Preconception WS was predictive of disordered eating, and specifically restrictive eating behaviours in pregnancy, and should be assessed as part of screening for eating disorder risk in pregnant individuals.

Changes in affect longitudinally mediate associations between emotion regulation strategy use and disordered eating.

Trait-level emotion regulation (ER) difficulties are associated with eating disorders (EDs) transdiagnostically. However, little research has examined whether within-person fluctuations in ER longitudinally predict ED behaviors in daily life or the mechanisms of ER effects. Investigating daily ER could help us better understand why people experience ED behaviors at a given time. We examined whether day-to-day changes in adaptive (e.g., cognitive reappraisal) and maladaptive (e.g., rumination) ER longitudinally predicted core ED behaviors (binge eating, purging, dieting) and whether changes in affect mediated effects. Female participants (N = 688) ages 15-30 from the Michigan State University Twin Registry reported their adaptive and maladaptive ER use, negative affect (NA), positive affect (PA), binge eating, purging, and dieting on 49 consecutive days. Using structural equation modeling, we examined whether within-person fluctuations in ER predicted same- and next-day ED behaviors and whether changes in affect mediated longitudinal ER effects. Greater maladaptive ER predicted increased likelihood of same-day binge eating and next-day binge eating and purging. The association between maladaptive ER and next-day binge eating and purging was mediated by increased next-day NA. In contrast, dieting was more closely related to changes in PA. Adaptive ER did not predict reduced likelihood of any ED behavior. Maladaptive ER may longitudinally increase risk for binge eating and purging by amplifying NA. Interventions focused on decreasing maladaptive ER and subsequent NA might help disrupt binge eating-purging cycles. Conversely, results add to evidence that PA fluctuations may play a unique role in maintaining restrictive behaviors. Little is known about how daily changes in emotion regulation may impact disordered eating. We found that maladaptive emotion regulation (e.g., rumination) was associated with a higher likelihood of binge eating and purging on the next day because it predicted increased next-day negative affect. In contrast, dieting was more closely tied to fluctuations in positive affect. Targeting daily emotion regulation and affective processes may help disrupt cycles of disordered eating.

Examining the Quality of Life and Discrimination Impact on Parents of Children With Autism Spectrum Disorder in Aseer Region, Saudi Arabia: A WHO-QOL Survey.

Background Autism spectrum disorder (ASD) is a neurodevelopmental disease marked by social and repetitive or restricted behaviors, as well as communication difficulty. Objectives This survey aimed to assess the quality of life (QoL) of parents with ASDs in the Aseer region of Saudi Arabia using the brief form of the World Health Organization (WHO-QOL) questionnaire. Furthermore, we sought to measure the severity of discrimination experienced by parents of children with ASDs and their impact on QoL. Methodology Using a Google form, a cross-sectional study was carried out online between March and April 2023. The patient records from four different regions of Saudi Arabia were used to recruit study participants. The survey was distributed through well-known social media channels (Instagram, Telegram, Facebook). Results A total of 99 parents were included in this study. The Southern region accounted for the bulk of participants (81.8%, n=81), nearly three-fourths of the children were boys (70.7%), mothers were more common among respondents (65.7%, n=65) than fathers, 66.7% of respondents reported being married, and 78.8% fall into the middle economic class category. The main source of information among the studied population was the Internet (39.4%, n=39), followed by relatives (23.0%, n=23), physicians (8.1%, n=9), and finally books (4%, n=4). The mean scores for the various domains are as follows: physical (58.48 ± 13.84), psychological (62.04 ± 18.08), social relations (61.20 ± 23.24), environment (24.12 ± 14.62), general QoL (72.93 ± 4.30), and general health (73.94 ± 4.63). Nearly half (46.5%) of parents have encountered stigma or discrimination toward their child or family. Individuals who reported experiencing discrimination exhibited significantly lower mean scores in multiple QoL domains than those who did not report discrimination for physical (54.11, ± 14.36vs, 62.26±12.28, p=0.003), psychological (55.80 ± 20.33 vs 67.45 ± 13.94, p=0.002), and social relations (55.43± 24.17 vs 66.20 ± 21.40, p=0.022). Multivariate analysis revealed that discrimination was the only significant predictor of QoL (p < 0.001). Conclusions The QoL of parents having a child with autism is low, moreover, the coincidence of discrimination and stigma significantly lowered QoL.

Assessing pragmatic language difficulties using the Revised Children's Communication Checklist-2. Exploratory structural equation modeling and associations with restricted and repetitive behaviors.

In this paper, we investigated the psychometric properties of the Child Communication Checklist-Revised (CCC-R) for the first time with an English-speaking sample. We used a confirmatory application of exploratory structural equation modeling (ESEM) to re-evaluate the CCC-R's psychometric properties. We found strong support for its use as an assessment for pragmatic and structural language. Our second main aim was to explore associations between pragmatic and structural language and restricted and repetitive behaviors (RRBs), two hallmark characteristics of autism. We used the CCC-R and Repetitive Behavior Questionnaire (RBQ-2) to investigate these associations in a diverse non-clinical sample of children, taking a transdiagnostic approach. We intentionally excluded autism and other neurodevelopmental diagnoses to test, (1) the CCC-R in a broad sample and (2) the association between pragmatic language and RRB in children not already selected for that association. The sample comprised two groups of children, one was community sampled (n = 123) and the other (n = 143) included children with non-specific behavioral, emotional and/or cognitive difficulties referred to an assessment unit by schools. We found clear associations between pragmatic language difficulties and RRBs in both groups. Regression analysis showed that pragmatic language was the only significant contributor to RRBs even after Grammatical-Semantic score, age, sex, and socioeconomic status were controlled. The pattern was the same for both recruitment groups. However, the effects were stronger for the school-referred group which also had more pragmatic difficulties, grammatical-semantic difficulties and RRBs. A robust link between pragmatic language and RRBs, established in autism, has continuity across the broader non-clinical population.

EASDM: Explainable Autism Spectrum Disorder Model Based on Deep Learning

A neuro-developmental disorder known as autism spectrum disorder (ASD) affects a significant portion of the global population. Those with ASD frequently struggle to interact and communicate with others and may engage in restricted or repetitive behaviors or interests. The symptoms of autism begin early in childhood and can continue into adulthood. Machine learning and deep learning (DL) models are employed in clinical research for the early identification and diagnosis of ASD. However, the majority of the existing models lack interpretability in their results for ASD diagnosis. The explainable artificial intelligence (XAI) concepts can be used to provide transparent and understandable explanations for models’ decisions. In this work, we present an explainable autism spectrum disorder model based on DL for autism disorder detection in toddlers and children. The primary objective of this study is to better understand and interpret the classification process and to discern the significant features that contribute to the prediction of ASD. The proposed model is divided into two distinct components. The first component employs a DL model for autism disorder detection. The second uses an XAI technique known as shapley additive explanations (SHAP) to emphasis key characteristics and explain the model’s outcomes. The model showed perfect performance on the training set, with an accuracy of 1 and a receiver operating characteristic score of 1. On the test set, the model achieved an accuracy score of 0.9886, indicating that it performed nearly as well as on the training set. The experimental results demonstrate that the proposed model has the capability to accurately predict and diagnose ASD while also providing explanatory insights into the obtained results. Furthermore, the results indicate that the proposed model performs competitively compared to the state-of-the-art models in terms of accuracy and F1-score. The results highlight the efficacy and potential of the proposed model in accurately predicting ASD in binary classification tasks.

Sex differences in autism-like behavior and dopaminergic neurons in substantia nigra of juvenile mice prenatally exposed to valproate.

Autism spectrum disorder (ASD) is characterized by deficits in social interaction and communication and repetitive and restricted behaviors. Sex dimorphism in the brain, including midbrain dopaminergic circuits, can explain differences in social behavior impairment and stereotypic behaviors between male and female individuals with ASD. These abnormal patterns may be due to alterations in dopamine synthesis in the ventral tegmental area (VTA) and substantia nigra (SN). We used an autism-like mouse model by prenatal valproic acid (VPA) exposure. CD1 pregnant female mice were injected with 500mg/kg VPA or 0.9% NaCl as a vehicle on gestational day 12.5. In the offspring, on postnatal day 31, we examined the social and repetitive behaviors and the number of tyrosine hydroxylase (TH)-positive cells in VTA and SN by sex. Male VPA mice showed impaired social behavior and increased repetitive behaviors when compared to male vehicles. In females, we did not find statistically significant differences in social or repetitive behaviors between the groups. Male VPA mice had fewer TH+ cells in the SN than control-vehicle mice. Interestingly, no cellular changes were observed between females. This study supports the notion that sex dimorphism of certain brain regions is involved in the etiopathogenesis and clinical presentation of ASD.

A narrative review of acupuncture treatment for Autism Spectrum disorder

Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterised by impaired reciprocal social communication and interaction, as well as restrictive behaviours, interests, and activities. Researchers estimate that approximately 2% of the South African population is affected by ASD. The prevalence of ASD in South Africa remains unknown, and minimal research has been conducted within the schooling systems to accurately inform the rates, distribution, and profile of needs for children with this disorder. The aim of this study was to conduct a narrative review of acupuncture treatment for ASD. A literature search targeted sources with the highest level of evidence and relevance to the topic. Searches were conducted on credible databases, focusing on high-quality publications with the most up-to-date information. A small number of studies (n=6) met the criteria for this narrative review. The studies reported statistically significant improvements in areas such as cognition, comprehension, social interaction, behaviours, speech and language, as well as food and noise sensitivity. Treatment was well tolerated, with minimal adverse effects. It may be concluded that there is evidence supporting the efficacy of acupuncture treatment for ASD; however, the quality of the studies has been relatively poor, and the sample sizes were insufficient. Research on this topic is still in its early stages, and these findings need confirmation through further high-quality research.

Examining the Authenticity of Autistic Portrayals in US Adult and Children's Television Shows Using Medical and Social Models of Disability.

Television programs have introduced viewers to characters on the autism spectrum (e.g., Sesame Street, The Good Doctor), impacting audiences' knowledge and attitudes. Thus, it is essential that character representations convey accurate health information. This study explores how autistic portrayals across six adult and children's television programs align with the medical (e.g., American Psychiatric Association in Diagnostic and statistical manual of mental disorders, 5th ed., text rev., 2022, https://doi.org/10.1176/appi.books.9780890425787 ) and social models of disability. A content analysis methodology was used to investigate defining characteristics of autism (i.e., medical model) and how characters navigated their environment (i.e., social model) in 252 scenes (across six characters in 22 episodes). Measures included the frequency with which autism characteristics (e.g., social-communicative difficulties, restrictive repetitive behaviors) were present across autistic portrayals and the valence (e.g., positive, negative, neutral) with which characters interacted with their environment (e.g., character and neurodiversity affirming valence). Findings indicate that (a) television portrayals depict social-communication difficulties significantly more than behavioral characteristics, (b) children's programming portrays autistic characters with significantly more positive personal attributes (i.e., character valence) than adult programs, and (c) the majority of programs portray characters navigating autism in positive or neutral ways (i.e., neurodiversity affirming valence). Results offer stakeholders (e.g., writers, advocates, neurodiverse community) insight into how autistic characters are portrayed on television, adding to a growing body of literature examining how such representations impact public knowledge, attitudes, and behaviors towards individuals on the autism spectrum. Collectively, such studies highlight how changes in diagnostic criteria, legal protections, and social inclusivity are presented to viewers, who are seeking entertainment but gaining public health information.

AYURVEDIC MANAGEMENT OF AUTISM: A CASE REPORT

In Aayurvedd, Unmada is a term that represents mental ailments. It is a broad term that covers autism spectrum disorders, too. The primary cause of Unmada, as explained in Ayurveda, is the derangement in Manas (mental functioning), Budhi (application of the acquired knowledge), Samjna(perceptions), Jnana(experiences), Smriti(memory), Bhakti (emotional adhesions), Seela (conditioned activities). According to Ayurveda, the symptoms of autism spectrum disorders as per DSM V criteria are diminished social interaction, impaired language and restricted repetitive behaviours (RRB), which can be co-related with Unmada. Aim and Objective- Ayurvedic management of Autism symptoms w.s.r. Unmada: A case study in the present case study, A diagnosed case of ASD, age four years female, came to OPD of Kaumarbhritya, Rishikul Ayurvedic College and Hospital, Haridwar. Along with the addiction to watching mobile. Materials and methods: The treatment protocol of Unmada, like Balpanchkarma, speech therapy, and parent counselling, are adopted with classical medication according to the Dosha predominance. Result -Balpanchkarma, like Nasya being the Dwara to Shiras, opens up the Manovaha Srotas, Speech therapy for speaking and communication skills development, Parental counselling for social skill development, restriction of watching mobile, etc. These procedures, along with the internal medications, have improved the present case.

Descriptive Analysis of Social Interaction and Communication Skills of Autistic Children According to Sibling Status and Characteristics.

Sibling relationships in early childhood can have a positive impact on children's social interaction and communication skills. Similarly, autistic children can benefit from interactions with their siblings, who can serve as readily available partners for social interaction. However, there is a lack of research on the effects of siblings based on specific characteristics of the sibling. Therefore, the aim of this study is to compare social interactions and communication skills of autistic children based on sibling status and characteristics. We conducted a retrospective data review involving 895 autistic children and their siblings at Seoul National University Bundang Hospital. Variety of diagnostic assessments or questionnaires were administered. Based on the characteristics of the data, Quade's test for nonparametric analysis of covariance was used to compare autism-related symptoms and levels of functioning of the autistic child according to 1) sibling status, 2) birth order, 3) sex, and 4) diagnosis of the sibling. Pearson correlation was used to explore associations between the sibling age gap and different clinical scores. Having siblings was associated with fewer difficulties in restricted and repetitive behaviors. Based on the comparison of the Autism Diagnostic Interview-Revised scores, autistic children with multiple siblings demonstrated better nonverbal behaviors. Autistic children with autistic siblings experienced greater difficulties in social interactions and communications, such as peer relationships, sharing enjoyment, and engaging in social imitative play. The study revealed differences in social interactions and communication skills of autistic children based on sibling status, birth order, affected sibling, age gap, and sex.

Cortico-basal ganglia white matter microstructure is linked to restricted repetitive behavior in autism spectrum disorder

BackgroundRestricted repetitive behavior (RRB) is one of two behavioral domains required for the diagnosis of autism spectrum disorder (ASD). Neuroimaging is widely used to study brain alterations associated with ASD and the domain of social and communication deficits, but there has been less work regarding brain alterations linked to RRB.MethodsWe utilized neuroimaging data from the National Institute of Mental Health Data Archive to assess basal ganglia and cerebellum structure in a cohort of children and adolescents with ASD compared to typically developing (TD) controls. We evaluated regional gray matter volumes from T1-weighted anatomical scans and assessed diffusion-weighted scans to quantify white matter microstructure with free-water imaging. We also investigated the interaction of biological sex and ASD diagnosis on these measures, and their correlation with clinical scales of RRB.ResultsIndividuals with ASD had significantly lower free-water corrected fractional anisotropy (FAT) and higher free-water (FW) in cortico-basal ganglia white matter tracts. These microstructural differences did not interact with biological sex. Moreover, both FAT and FW in basal ganglia white matter tracts significantly correlated with measures of RRB. In contrast, we found no significant difference in basal ganglia or cerebellar gray matter volumes.LimitationsThe basal ganglia and cerebellar regions in this study were selected due to their hypothesized relevance to RRB. Differences between ASD and TD individuals that may occur outside the basal ganglia and cerebellum, and their potential relationship to RRB, were not evaluated.ConclusionsThese new findings demonstrate that cortico-basal ganglia white matter microstructure is altered in ASD and linked to RRB. FW in cortico-basal ganglia and intra-basal ganglia white matter was more sensitive to group differences in ASD, whereas cortico-basal ganglia FAT was more closely linked to RRB. In contrast, basal ganglia and cerebellar volumes did not differ in ASD. There was no interaction between ASD diagnosis and sex-related differences in brain structure. Future diffusion imaging investigations in ASD may benefit from free-water estimation and correction in order to better understand how white matter is affected in ASD, and how such measures are linked to RRB.

Female mice prenatally exposed to valproic acid exhibit complex and prolonged social behavior deficits

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized mainly by deficits in social communication and stereotyped and restricted behavior and interests with a male to female bias of 4.2/1. Social behavior in ASD animal models is commonly analyzed in males, and seldomly in females, using the widely implemented three-chambers test procedure. Here, we implemented a novel procedure, the Live Mouse Tracker (LMT), combining artificial intelligence, machine learning procedures and behavioral measures. We used it on mice that were prenatally exposed to valproic acid (VPA) (450 mg/kg) at embryonic day 12.5, a widely recognized and potent ASD model that we had previously extensively characterized. We focused on female mice offspring, in which social deficits have been rarely documented when using the 3-CT procedure. We recorded several parameters related to social behavior in these mice, continuously for three days in groups of four female mice. Comparisons were made on groups of 4 female mice with the same treatment (4 saline or 4 VPA) or with different treatments (3 saline and 1 VPA). We report that VPA females show several types of social deficits, which are different in nature and magnitude in relation with time. When VPA mice were placed in the LMT alongside saline mice, their social deficits showed significant improvement as early as 1 h from the start of the experiment, lasting up to 3 days throughout the duration of the experiment. Our findings suggest that ASD may be underdiagnosed in females. They also imply that ASD-related social deficits can be ameliorated by the presence of typical individuals.

Symptom dimensions of resting-state electroencephalographic functional connectivity in autism.

Autism spectrum disorder (ASD) is a common neurodevelopmental disorder characterized by social and communication deficits (SCDs), restricted and repetitive behaviors (RRBs) and fixated interests. Despite its prevalence, development of effective therapy for ASD is hindered by its symptomatic and neurophysiological heterogeneities. To comprehensively explore these heterogeneities, we developed a new analytical framework combining contrastive learning and sparse canonical correlation analysis that identifies symptom-linked resting-state electroencephalographic connectivity dimensions within 392 ASD samples. We present two dimensions with multivariate connectivity basis exhibiting significant correlations with SCD and RRB, confirm their robustness through cross-validation and demonstrate their conceptual generalizability using an independent dataset (n = 222). Specifically, the right inferior parietal lobe is the core region for RRB, while connectivity between the left angular gyrus and the right middle temporal gyrus show key contribution to SCD. These findings provide a promising avenue to parse ASD heterogeneity with high clinical translatability, paving the way for ASD treatment development and precision medicine.

Affective processes underlying restrictive eating in atypical anorexia nervosa: Comparisons to anorexia nervosa and bulimia nervosa using ecological momentary assessment.

Certain symptom and risk/maintenance factor similarities between individuals with atypical anorexia nervosa (AN) and 'typical' AN have been documented, but few studies have investigated how atypical AN compares to bulimia nervosa (BN). Further, the role of affective mechanisms in maintaining restrictive eating in atypical AN has not been examined. The current study investigated whether atypical AN resembles AN and/or BN on affect-related processes using questionnaires and ecological momentary assessment (EMA). Women with atypical AN (n = 24), AN-restrictive subtype, (n = 27), AN-binge eating/purging subtype (n = 34), and BN (n = 58) completed questionnaires measuring depressive symptoms and emotion regulation difficulties. They also completed a 14-day EMA protocol during which they reported negative and positive affect and skipped meals five times/day (signal-contingent surveys) and restrictive eating after meals/snacks (event-contingent surveys). Diagnostic groups generally did not differ on questionnaire measures nor affective patterns surrounding restrictive eating behaviors. Momentary changes in affect did not predict or follow restriction at meals/snacks, though higher momentary negative affect ratings predicted skipped meals, and higher positive affect was reported after skipped meals. Greater average negative affect and lower average positive affect predicted both restrictive eating behaviors. Across diagnoses, reductions in food intake do not appear to be influenced by momentary changes in affect, though skipping meals may serve an emotion regulation function. Atypical AN seems to resemble AN and BN on affective processes underlying restrictive eating, raising further questions regarding the unique diagnosis of atypical AN. Though atypical anorexia appears to strongly resemble anorexia nervosa, it is less clear how this disorder relates to bulimia nervosa. It is further unknown whether affective-related processes underlie restrictive eating in atypical anorexia nervosa, and how these processes compare to those in anorexia nervosa and bulimia nervosa. Results suggest that atypical anorexia does not differ from anorexia nervosa or bulimia nervosa on emotion-related measures, nor in affective patterns surrounding restrictive eating behaviors.

Autism spectrum disorder detection using facial images: A performance comparison of pretrained convolutional neural networks.

Autism spectrum disorder (ASD) is a complex psychological syndrome characterized by persistent difficulties in social interaction, restricted behaviours, speech, and nonverbal communication. The impacts of this disorder and the severity of symptoms vary from person to person. In most cases, symptoms of ASD appear at the age of 2 to 5 and continue throughout adolescence and into adulthood. While this disorder cannot be cured completely, studies have shown that early detection of this syndrome can assist in maintaining the behavioural and psychological development of children. Experts are currently studying various machine learning methods, particularly convolutional neural networks, to expedite the screening process. Convolutional neural networks are considered promising frameworks for the diagnosis of ASD. This study employs different pre-trained convolutional neural networks such as ResNet34, ResNet50, AlexNet, MobileNetV2, VGG16, and VGG19 to diagnose ASD and compared their performance. Transfer learning was applied to every model included in the study to achieve higher results than the initial models. The proposed ResNet50 model achieved the highest accuracy, 92%, compared to other transfer learning models. The proposed method also outperformed the state-of-the-art models in terms of accuracy and computational cost.