Restricted Patterns Of Behavior Research Articles

Cluster analysis of teachers report for identifying symptoms of autism spectrum and/or attention deficit hyperactivity in school population: EPINED study.

An early detection of Neurodevelopmental Disorders (NDDs) is crucial for their prognosis; however, the clinical heterogeneity of some disorders, such as autism spectrum disorder (ASD) or attention-deficit hyperactivity disorder (ADHD) is an obstacle to accurate diagnoses in children. In order to facilitate the screening process, the current study aimed to identify symptom-based clusters among a community-based sample of preschool and school-aged children, using behavioral characteristics reported by teachers. A total of 6894 children were assessed on four key variables: social communication differences, restricted behavior patterns, restless-impulsiveness, and emotional lability (pre-schoolers) or inattention and hyperactivity-impulsivity (school-aged). From these behavioral profiles, four clusters were identified for each age group. A cluster of ASD + ADHD and others including children with no pathology was clearly identified, whereas two other clusters were characterized by subthreshold ASD and/or ADHD symptoms. In the school-age children, the presence of ADHD was consistently observed with ASD patterns. In pre-schoolers, teachers were more proficient at identifying children who received a diagnosis for either ASD and/or ADHD from an early stage. Considering the significance of early detection and intervention of NDDs, teachers' insights are important. Therefore, promptly identifying subthreshold symptoms in children can help to minimize consequences in social and academic functioning.

A Multi-Target mechanism of Withania somnifera bioactive compounds in autism spectrum disorder (ASD) Treatment: Network pharmacology, molecular docking, and molecular dynamics simulations studies

Autism spectrum disorder (ASD) is a developmental disorder resulting from variations in brain structure and function. Individuals with ASD often experience challenges in communication and social interaction, along with engaging in repetitive or restricted patterns of behavior and interests. The lack of documented data and the wide range of pathophysiological processes associated with ASDmake it challenging to work which causes a major financial burden on health care management. Withania somnifera, often referred to as ashwagandha is the tropical winter cherry in the Solanaceae family that can be used to treat several ailments such as asthma, stress, hypertension,diabetes, cancer, arthritic, and neural disorders including ASD. In this investigation, we examined the active compound-target-pathway network and discovered that Withanolide J, Withanone, and Withaferin A have a great role in the onset of ASD by influencing the IL6 gene. Later, the molecular docking method was applied for confirmation of the active compound's effective action against the prospective target. The molecular dynamics simulation exhibited that the complexes of Withanolide J and Withanone had stable intermolecular binding conformation and unveiled very stable dynamics during the simulation time. A combined network pharmacology and molecular docking approach demonstrated that W. somnifera exhibits a promising preventive impact on ASD by targeting relevant signaling pathways associated with the disorder. This establishes a foundation for comprehending the underlying mechanism of the anti-ASD activity of W. somnifera.

Autism spectrum disorder - the fight of the public against a disease it fails to understand.

Madam, Autism is a heterogeneous set of neurodevelopmental conditions affecting around 1% of the population globally [1,2] and every 1 in 120 people in Pakistan [5]. It exhibits a higher incidence in males than females [1,2,5]; this may be because males have a lower threshold for brain dysfunction, and require a lower genetic burden to cause autism, than females. Individuals with autism commonly experience impaired social cognition and perception, atypical information processing, and restricted patterns of behaviour and interest. A study from The Lancet in 2014 determined that the autism goes hand in hand with multiple other intellectual, psychiatric, medical, and behavioural disorders, with a significant association between autism and motor abnormality, sleep disorders, and aggressive behaviours [1]. While multiple genetic and developmentally early environmental factors have been established as risk factors in the aetiology of autism, none were confirmed to be adequate alone for ASD to develop. With respect to familiarity with autism, while people are not completely unaware of the existence of the disease they do display poor knowledge about its symptoms and presentation. In a study conducted in Pakistan in 2012, 52 out of the 73 teachers who participated (71%) claimed to have knowledge regarding autism; substantial gaps were recognized in their perceived knowledge about the disease [3]. Another study conducted in Karachi also concluded that parents’ lack of awareness and insufficient knowledge among parents about the signs and symptoms as well as the treatment and diagnosis of autism [4]. Early diagnosis is crucial for timely intervention; the assessment of children needs to be developmental and multidisciplinary [1]. Even though multiple rating scales and checklists have been established, it is preferable to use more performance-based methodologies for assessment and diagnosis [2]. Thorough and focused behavioral interventions in early life can promote social communication and decrease aggression and anxiety in individuals diagnosed with ASD. Support should be personalized according to each individual and if feasible, should be multi-dimensional. Although drugs as a form of treatment diminish comorbid symptoms in autistic people, they alone display no direct effect on enhancing social communication. Awareness can be spread by donating or volunteering at fundraisers, through social media, and by participating in various autism programs. Formation of an encouraging environment that acknowledges and respects that the individual is different is imperative.

Pain communication in children with autism spectrum disorder: A scoping review.

Children with autism spectrum disorder (ASD) experience social interaction and communication challenges and often display repetitive, restricted patterns of behavior, activities, and interests. The concept of pain is regarded as one of the most complex human stressors due to its subjective and personal nature and the influences of multiple internal and external factors. Due to the complexity of this disorder, it remains concerning how children with ASD communicate their pain and how observers (i.e., parents, carers, and health care practitioners) respond to these children's pain communication. This scoping review aimed to identify how children with ASD communicate or express their pain. Ten studies met the inclusion criteria for further data extraction. Through reflexive thematic analysis, two main themes were identified: verbal and nonverbal responses used by children with ASD to communicate their pain that could influence pain assessment and management strategies. This review highlighted that children with ASD utilized various verbal and nonverbal methods to communicate their pain experiences and that these methods differed compared to children without disabilities. Furthermore, this review emphasizes the importance of holistic pain assessment strategies as well as additional pictorial support for children with ASD. This review recommends that future research should focus on understanding how the inclusion of different stakeholders in pain assessment for children with ASD, can contribute to holistic pain assessment.

Early Diagnosis of Autism Spectrum Disorder: A Review and Analysis of the Risks and Benefits.

Autism spectrum disorder (ASD) is a neurodevelopmental condition made up of enduring challenges in social communication and interaction and the presence of repetitive and restricted behavior patterns. Early diagnosis of autism is crucial for timely intervention and improved long-term outcomes. This review aims to explore some of its signs and symptoms, look into some diagnostic tools, and analyze the benefits and risks associated with an early diagnosis of autism. The symptoms of ASD vary from child to child, some of which are: avoidance of eye contact, lack of response to names, excessive fear, and lack of interactive and pretend play. Early identification of these symptoms by caregivers and healthcare providers facilitates the need for diagnosis and appropriate interventions. Some screening and diagnostic tools that have been found to help make the diagnosis are the Modified Checklist for Autism in Toddlers, Revised with Follow-Up (M-CHAT-R/F), the Social Communication Questionnaire (SCQ), the Parents' Evaluation of Developmental Status (PEDS), and the Childhood Autism Rating Scale (CARS), amongst others. The benefits of early diagnosis include the opportunity for early intervention, which has been shown to enhance developmental outcomes and improve adaptive skills. Early identification allows for the implementation of specialized interventions tailored to the specific needs of individuals with autism, targeting social communication, language development, and behavioral challenges. Furthermore, early diagnosis enables families to access appropriate support services, educational resources, and community programs, facilitating better coping mechanisms, reducing parental stress, and increasing adult independence. However, early diagnosis of autism also entails certain risks. One significant concern is the potential for labeling and stigmatization, which can impact the child's self-esteem and social interactions. There is a risk of overdiagnosis or misdiagnosis, leading to unnecessary interventions and treatments. Additionally, the diagnostic process can be lengthy, complex, and emotionally challenging for families, requiring comprehensive assessments by multidisciplinary teams. This review highlights the importance of a balanced approach when considering the benefits and risks of early diagnosis. Early identification allows for timely interventions that significantly improve developmental outcomes and quality of life for individuals with autism. To mitigate the risks, it is crucial to ensure accurate and reliable diagnostic procedures, support families throughout the process, and promote societal awareness and acceptance. We also highlighted some future directions in the management of autism, including the use of biomarkers and the use of artificial intelligence and learning for diagnosing ASD.

Back to Actual Behavior - A Modest Proposal on the Example of Exploratory Behavior in Children on the Autism Spectrum.

Autism spectrum is characterized by difficulties in social communication and interactions and limited, restricted patterns of behavior, interests, and activity. It is diagnosed and described on the basis of behavioral characteristics. Therefore, behavior research plays a critical role in better understanding the functioning of this group of children. Studies on their interests and curiosity take mainly the form of experiments on visual and object exploration. We argue that important aspects of behavior might be neglected within these studies and propose to refine the approach by incorporating the achievements of classic ethology, contemporary measurement and analytical tools, and the theory of integrative levels. We conclude with an outline of the proposed approach in a short list of major methodological postulates.

Association of GABRG3, GABRB3, HTR2A gene variants with autism spectrum disorder

Autism spectrum disorder (ASD) is a neurodevelopmental and neurobehavioral disorder characterized by impaired social communication, repetitive and restricted patterns of behavior, activity, or interest, and altered emotional processing. Reported prevalence is 4 times higher in men and it has increased in recent years. Immunological, environmental, epigenetic, and genetic factors play a role in the pathophysiology of autism. Many neurochemical pathways and neuroanatomical events are effective in determining the disease. It is still unclear how the main symptoms of autism occur because of this complex and heterogeneous situation. In this study, we focused on gamma amino butyric acid (GABA) and serotonin, which are thought to contribute to the etiology of autism; it is aimed to elucidate the mechanism of the disease by investigating variant changes in the GABA receptor subunit genes GABRB3, GABRG3 and the HTR2A gene, which encodes one of the serotonin receptors.200 patients with ASD between the ages of 3–9 and 100 healthy volunteers were included in the study. Genomic DNA isolation was performed from peripheral blood samples taken from volunteers. Genotyping was performed using the RFLP method with PCR specific for specific variants. Data were analyzed with SPSS v25.0 program.According to the data obtained in our study; In terms of HTR2A (rs6313 T102C) genotypes, the homozygous C genotype carrying frequency in the patient group and the homozygous T genotype carrying frequency in the GABRG3 (rs140679 C/T) genotypes were found to be significantly higher in the patient group compared to the control group (*p: 0.0001, p: 0.0001). It was determined that the frequency of individuals with homozygous genotype was significantly higher in the patient group compared to the control group and having homozygous genotypes increased the disease risk approximately 1.8 times. In terms of GABRB3 (rs2081648 T/C) genotypes, it was determined that there was no statistically significant difference in the frequency of carrying homozygous C genotype in the patient group compared to the control group (p: 0.36).According to the results of our study, we think that the HTR2A (rs6313 T102C) polymorphism is effective in modulating the empathic and autistic characteristics of individuals, and that the HTR2A (rs6313 T102C) polymorphism is more distributed in the post-synaptic membranes in individuals with a higher number of C alleles. We believe that this situation can be attributed to the spontaneous stimulatory distribution of the HTR2A gene in the postsynaptic membranes because of T102C transformation.In genetically based autism cases, carrying the point mutation in the rs6313 variant of the HTR2A gene and the C allele and the point mutation in the rs140679 variant of the GABRG3 gene and accordingly carrying the T allele provide a predisposition to the disease.

Autism Spectrum Disorder as a Disorder of Prediction in Sensorimotor Processing

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent social interactive and communicative difficulties and repetitive, restricted behavioral patterns. Previous theories suggested impairments in two distinct sets of core abilities as an explanation for ASD. One is the delayed ability to reflect on others’ mental content, and the other is the lack of the tendency to integrate details to create meanings in contexts. In the current field, there is an emergent explanation to consider ASD as a disorder of prediction. Under this notion, two competing views proposed different accounts for the specific deficits in ASD predictive system. The Bayesian view believes that ASD individuals experience reduced priors and are less reliant on top-down information when making predictions. Alternatively, the predictive error view believes that ASD impairments result from a failure to ignore accidental prediction errors caused by environmental noise, leading to overly frequent updates and less generalizable predictions. Though both views seem credible, no previous studies have comprehensively examined their reliability in empirical evidence. Therefore, the present paper fills in the gap by reviewing the two views and their relevant psychological and neuroscientific evidence with a specific focus on sensorimotor prediction. The major conclusion is that most empirical evidence was consistent with the reduced prior proposal but not the prediction error weighing proposal. Specifically, the ASD population is resistant to reliable contextual priors even though their associative learning may remain unimpaired. In keeping with the reduced prior proposal, the ASD population showed atypical connectivity between brain areas, suggesting insufficient communication of top-down information. Additionally, subjective anxiety during the Bayesian inferential process probably hinders the prediction performance. One possible limitation of the present review is the generalizability of conclusions to the domain of social impairments. Future studies should dedicate to exploring the restrictive conditions on the reduced Bayesian prior and E/I ratio imbalance and the role of anxiety in moderating the predictive process. One practical implication is to promote context-dependent imitations in sensorimotor learning in ASD. This review can provide some insights to future intervention studies and practices for children with ASD.

Differential diagnosis between autism spectrum disorder and other developmental disorders with emphasis on the preschool period.

Neurodevelopmental disorders are a heterogeneous group of conditions that manifest as delays or deviations in the acquisition of expected developmental milestones and behavioral changes. Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in communication and social interaction and by repetitive and restricted patterns of behavior, interests and activities. The aim of this review is to discuss the clinical features of the differential diagnoses of ASD that are prevalent among preschoolers, focusing on their similarities and disparities. The international medical literature search was conducted using PubMed and was revised regarding the subject using single and/or combined keywords as follows: differential diagnosis, preschoolers, diagnostic challenge, attention deficit hyperactivity disorder, intellectual disability, high abilities/giftedness, childhood apraxia of speech, social communication disorder, Landau-Kleffner syndrome, stereotyped movement disorder and excessive screen time. We describe conditions commonly found in clinical practice, taking ASD as a reference. We addressed converging and divergent aspects of behavior, cognition, communication, language, speech, socialization, and stereotypes for the diagnosis of ASD and other disorders identified as potential differential or comorbid diagnoses. The ranking and characterization of symptoms appear to be essential for better understanding the underlying common ground between children with developmental disorders and children with ASD, thus properly diagnosing and directing social, professional, or medication interventions. This detailed discussion adds to the literature since, although ASD differential diagnoses are frequently mentioned and discussed in textbooks and journal articles, they rarely occupy a prominent place as we aimed herein.

Transcranial Photobiomodulation for the Treatment of Children with Autism Spectrum Disorder (ASD): A Retrospective Study.

Children with Autism Spectrum Disorder (ASD) face several challenges due to deficits in social function and communication along with restricted patterns of behaviors. Often, they also have difficult-to-manage and disruptive behaviors. At the moment, there are no pharmacological treatments for ASD core features. Recently, there has been a growing interest in non-pharmacological interventions for ASD, such as neuromodulation. In this retrospective study, data are reported and analyzed from 21 patients (13 males, 8 females) with ASD, with an average age of 9.1 (range 5–15), who received six months of transcranial photobiomodulation (tPBM) at home using two protocols (alpha and gamma), which, respectively, modulates the alpha and gamma bands. They were evaluated at baseline, after three and six months of treatment using the Childhood Autism Rating Scale (CARS), the Home Situation Questionnaire-ASD (HSQ-ASD), the Autism Parenting Stress Index (APSI), the Montefiore Einstein Rigidity Scale–Revised (MERS–R), the Pittsburgh Sleep Quality Index (PSQI) and the SDAG, to evaluate attention. Findings show that tPBM was associated with a reduction in ASD severity, as shown by a decrease in CARS scores during the intervention (p < 0.001). A relevant reduction in noncompliant behavior and in parental stress have been found. Moreover, a reduction in behavioral and cognitive rigidity was reported as well as an improvement in attentional functions and in sleep quality. Limitations were discussed as well as future directions for research.

A case-control study on the relationship between urine trace element levels and autism spectrum disorder among Iranian children.

Autism spectrum disorder (ASD) is a type of neurodevelopmental disorder characterized mainly by qualitative deficiencies in social communication skills, accompanied by repetitive and restricted behavior patterns. This study was conducted to investigate the associations between the risk of ASD development in children and exposure to trace elements (arsenic (As), cadmium (Cd), chromium (Cr), cobalt (Co), copper (Cu), lead (Pb), nickel (Ni), and zinc (Zn)). Two groups of children, including 44 ASD and 35 typically developing (TD) children, were selected, and their fasting urine samples were obtained. The concentration levels of trace elements were assayed using ICP-MS. The results showed that as compared to the TD group, the concentration levels of As (p = 0.002) and Pb (p < 0.001) and also Cr (p < 0.001), Cu (p = 0.001), and Ni (p < 0.001) were significantly higher among ASD children. In terms of gender, boys with ASD showed elevated levels of Cr, Cu, Ni, and Pb, whereas the urine levels of As, Cr, Cu, Ni, and Pb were markedly higher among girls when compared to the non-ASD children. Under the logistic regression model, the risk difference for As, Co, Cr, Cu, Ni, Pb, and Zn remained significant when adjustment was applied for age and gender confounders.

Deep learning-based school attendance prediction for autistic students

Autism Spectrum Disorder is a neurodevelopmental disorder characterized by deficits in social communication and interaction as well as the presence of repetitive, restricted patterns of behavior, interests, or activities. Many autistic students experience difficulty with daily functioning at school and home. Given these difficulties, regular school attendance is a primary source for autistic students to receive an appropriate range of needed educational and therapeutic interventions. Moreover, school absenteeism (SA) is associated with negative consequences such as school drop-out. Therefore, early SA prediction would help school districts to intervene properly to ameliorate this issue. Due to its heterogeneity, autistic students show within-group differences concerning their SA. A comprehensive statistical analysis performed by the authors shows that the individual and demographic characteristics of the targeted population are not predictive factors of SA. So, we used the students’ recent previous attendance to predict their future attendance. We introduce a deep learning-based framework for predicting short-and long-term SA of autistic students using the Long Short-Term Memory (LSTM) and Multilayer Perceptron (MLP) algorithms. The adopted algorithms outperform other machine learning algorithms. In detail, LSTM increased the accuracy and recall of short-term SA prediction by 20% and 13%, while the same scores of long-term SA prediction increased by 5% using MLP.

Sex/gender differences in children with autism spectrum disorder: A brief overview on epidemiology, symptom profile, and neuroanatomy.

Autism spectrum disorders (ASD) are a heterogeneous group of neurodevelopmentalconditions whose shared core features are impairments in social interaction and communication as well as restricted patterns of behavior, interests, and activities. The significant and consistent male preponderance in ASD prevalence has historically affected the scientific knowledge of autism in females as regards, inter alia, the clinical presentation, the genetic architecture, and the structural brain underpinnings. Indeed, females with ASD are under-investigated as samples recruited for clinical research typically reflect the strong male bias of the disorder. In the last years, the study of the various aspects of sex/gender (s/g) differences in ASD is gaining increased clinical and research interest resulting in a growing number of investigations on this topic. Here, I review and discuss evidence emerged from epidemiological, clinical, and neuroimaging studies in the last decade focusing on s/g differences in children with ASD. These studies are the prerequisites for the development of assessment and treatment practices which take into consideration s/g differences in ASD. Ultimately, a better understanding of s/g differences aims at improving healthcare for both ASD males and females.

6.12 Pharmacological Treatments for the Core Symptoms of Autism Spectrum Disorder: A Systematic Review

Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by persistent social impairment and restricted patterns of behavior, interests, or activities. This systematic review aims to identify high-quality primary pharmacologic research in the treatment of core symptoms of ASD.

Node Centrality Measures Identify Relevant Structural MRI Features of Subjects with Autism.

Autism spectrum disorders (ASDs) are a heterogeneous group of neurodevelopmental conditions characterized by impairments in social interaction and communication and restricted patterns of behavior, interests, and activities. Although the etiopathogenesis of idiopathic ASD has not been fully elucidated, compelling evidence suggests an interaction between genetic liability and environmental factors in producing early alterations of structural and functional brain development that are detectable by magnetic resonance imaging (MRI) at the group level. This work shows the results of a network-based approach to characterize not only variations in the values of the extracted features but also in their mutual relationships that might reflect underlying brain structural differences between autistic subjects and healthy controls. We applied a network-based analysis on sMRI data from the Autism Brain Imaging Data Exchange I (ABIDE-I) database, containing 419 features extracted with FreeSurfer software. Two networks were generated: one from subjects with autistic disorder (AUT) (DSM-IV-TR), and one from typically developing controls (TD), adopting a subsampling strategy to overcome class imbalance (235 AUT, 418 TD). We compared the distribution of several node centrality measures and observed significant inter-class differences in averaged centralities. Moreover, a single-node analysis allowed us to identify the most relevant features that distinguished the groups.

Study of sensory processing deficits in autism spectrum disorder symptom triad: an Egyptian sample

BackgroundAutism spectrum disorder (ASD) is one of the most common neurodevelopmental disorders. In DSM-IV, the diagnostic criteria of autism consisted of three domains: impairment in social interaction, communication deficits, and stereotypic behavior, while in DSM-5 they were condensed into two domains: social communication deficits and restricted patterns of behavior to which sensory processing deficits (SPD) were added, manifested by hypo- or hyper-reactivity to sensory stimuli or uncommon interests in sensory aspects of the surrounding environment. The purpose of this study is to determine the relation between SPD and the symptom triad in ASD namely social interaction, communication deficits, and stereotypic behavior. To our knowledge, this issue was not studied before in Egyptian literature.ResultsThere was a significant negative correlation between SPD (assessed by short sensory profile: SSP) and symptom triad in ASD. As regards social interaction, the ADI-R (A), there was significant negative correlation with the SSP total scores and all subscales except for low energy/weak and visual/auditory sensitivity, whereas under-responsive/seeks sensation held the highest negative correlation (p ˂ 0.008). As regards communication deficits, the ADI-R (B), there was significant negative correlation with the SSP total scores and the auditory filtering held the highest negative correlation (p ˂ 0.008), and as regards stereotypic behavior, the ADI-R (C), there was significant negative correlation with the SSP total scores and all subscales except for low energy/weak and visual/auditory sensitivity whereas taste/smell sensitivity and auditory filtering held the highest negative correlation (p ˂ 0.001). There was a high significant negative correlation between the severity of autistic symptoms (assessed by CARS) and the SSP total scores, and for all subscales (p ˂ 0.001) except for low energy/weak, the correlation was significant (not highly significant) (p ˂ 0.05). Finally, there was high percentage of parental consanguinity among the participants (80%).ConclusionsSPD negatively affected the ASD symptom triad which highlights the importance of sensory integration therapy (SIT) as a major core of ASD treatment alongside the other treatment modalities. Early ASD screening is mandatory in families with parental consanguinity.

Gluten-Free Casein-Free Diet for Autism Spectrum Disorders: Can It Be Effective in Solving Behavioural and Gastrointestinal Problems?

Autism spectrum disorder [ASD] is characterized by deficits in communication and social interactions combined with repetitive and restricted patterns of behaviors. Bidirectional changes in brain-gut microbiota are known to be responsible for the pathophysiology of many brain-related disorders, such as autism, as well as well-known gastrointestinal diseases, including gut disorders. Imbalance in the composition of gut microbiota is frequently observed in individuals with ASD. It is therefore believed that this imbalance is significant in the frequent occurrence of gastrointestinal symptoms. The integrity of the intestinal barrier and the blood-brain barrier [BBB] in individuals with ASD is affected. Incompletely digested peptides, toxins, and proinflammatory cytokines cross the BBB by entering the bloodstream and reach the central nervous system. As a result of the accumulation of these elements, brain function is adversely affected. It is hypothesized that incompletely digested peptides acting as opioid agonists reduce pain sensitivity and increase the severity of autism-specific behaviors. However, it is not known exactly how opioid peptides trigger ASD symptoms after they reach the brain. Diet therapies, especially elimination diets, are considered to be an alternative treatment to prevent this condition. Gluten-free casein-free [GFCF] diet is an elimination diet that involves the removal of certain proteins from the normal diet, such as gluten and casein. However, studies that demonstrate the beneficial effects of the GFCF diet on ASD patients and explain its mechanism is limited, which supports the opioid theory. This review aims to investigate the gastrointestinal and behavioral problems that are frequently observed in ASD, the possible action mechanisms of GFCF diets, and the efficacy of these elimination diets.

60 Precision Medicine in Developmental Pediatrics: Image-based Classification of Children with Autism Spectrum Disorder using Deep Learning

Abstract Introduction/Background Autism spectrum disorder (ASD) is a neurodevelopmental disorder resulting in challenges with social communication, sensory differences, and repetitive and restricted patterns of behavior. ASD affects approximately 1 in 66 children in North America, with boys being affected four times more frequently than girls. Currently, diagnosis is made primarily based on clinical features and no robust biomarker for ASD diagnosis has been identified. Potential image-based biomarkers to aid ASD diagnosis may include structural properties of deep gray matter regions in the brain. Objectives The primary objective of this work was to investigate if children with ASD show micro- and macrostructural alterations in deep gray matter structures compared to neurotypical children, and if these biomarkers can be used for an automatic ASD classification using deep learning. Design/Methods Quantitative apparent diffusion coefficient (ADC) magnetic resonance imaging data was obtained from 23 boys with ASD ages 0.8 – 19.6 years (mean 7.6 years) and 39 neurotypical boys ages 0.3 – 17.75 years (mean 7.6 years). An atlas-based method was used for volumetric analysis and extraction of median ADC values for each subject within the cerebral cortex, hippocampus, thalamus, caudate, putamen, globus pallidus, amygdala, and nucleus accumbens. The extracted quantitative regional volumetric and median ADC values were then used for the development and evaluation of an automatic classification method using an artificial neural network. Results The classification model was evaluated using 10-fold cross validation resulting in an overall accuracy of 76%, which is considerably better than chance level (62%). Specifically, 33 neurotypical boys were correctly classified, whereas 6 neurotypical boys were incorrectly classified. For the ASD group, 14 boys were correctly classified, while 9 boys were incorrectly classified. This translates to a precision of 70% for the children with ASD and 79% for neurotypical boys. Conclusion To the best of our knowledge, this is the first method to classify children with ASD using micro- and macrostructural properties of deep gray matter structures in the brain. The first results of the proposed deep learning method to identify children with ASD using image-based biomarkers are promising and could serve as the platform to create a more accurate and robust deep learning model for clinical application.

Projeto cinoterapia: forma de intervenção nas necessidades de saúde especiais

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by persistent deficits in social communication and interaction as well as by restricted patterns of behavior, interests, and activities. In kynotherapy, a dog it acts as a facilitator of the therapeutic process. This pilot-project has as main objective to study the effectiveness of the  kynotherapy in the improvement of the behaviors of self-regulation, communication and socialization of children with ASD, in a school context. Of the pilot project, 16 children with a diagnosis of ASD, were evaluated in a preand post-intervention phase. In the control group the educational method of the Structured Teaching is the Treatment and Educacion of Autistic and Related Communications Handicapped Children (TEACH) model and in the experimental group the educational method is the same, however with there is the support of a dog during the 40 sessions, that have the duration of 30 minutes. In the experimental group, it is expected significant improvements in the measures of irritability and hyperactivity, as well as in the processes of socialization, social cognition and social communication.

How parental levels of empathy and alexithymia influence their perception of child's behavior.

Literature states that parents of individuals affected by autism spectrum disorder (ASD) can present social and cognitive deficits, restricted behavior patterns and psychiatric difficulties, without meeting standard diagnostic criteria for ASD ("broader autism phenotype"). We explored the relationship between parenting of children affected by ASD and levels of empathy and lack of emotion understanding (alexithymia). We enlisted 58 families in which a child was affected by ASD. Parents' empathy and alexithymia were respectively assessed by means of Empathy Quotient (EQ) and Toronto Alexithymia Scale (TAS-20). Additionally, we included the assessment of the perception of children's behavior through the Child Behavior Checklist (CBCL). Our findings suggest that most parents have normal empathy and do not show significant alexithymia. We found lower EQ and higher TAS-20 scores being more frequent in fathers. Moreover, each parent's empathy degree negatively relates to his/her alexithymia and vice versa, showing that these two features are inversely correlated. Our study unveiled a strong correlation between maternal empathy and alexithymia and child's externalizing problems, as reported by mothers. Our data reveal differences in mothers and fathers' empathy and alexithymia profiles and confirm the importance of considering both parents' points of view either in the diagnostic and the therapeutic interventions. Parental empathy and alexithymia levels not only play a fundamental role in the evaluation of child's difficulties but can also influence the development of a good relationship with the child for what concerns affective resonance.