scholarly journals A novel automated autism spectrum disorder detection system

2021 ◽  
Author(s):  
Shu Lih Oh ◽  
V. Jahmunah ◽  
N. Arunkumar ◽  
Enas W. Abdulhay ◽  
Raj Gururajan ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Detection System ◽  
Brain Activity ◽  
Limited Range ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Nonlinear Features ◽  
Genetic And Environmental Factors ◽  
Future Work

AbstractAutism spectrum disorder (ASD) is a neurological and developmental disorder that begins early in childhood and lasts throughout a person’s life. Autism is influenced by both genetic and environmental factors. Lack of social interaction, communication problems, and a limited range of behaviors and interests are possible characteristics of autism in children, alongside other symptoms. Electroencephalograms provide useful information about changes in brain activity and hence are efficaciously used for diagnosis of neurological disease. Eighteen nonlinear features were extracted from EEG signals of 40 children with a diagnosis of autism spectrum disorder and 37 children with no diagnosis of neuro developmental disorder children. Feature selection was performed using Student’s t test, and Marginal Fisher Analysis was employed for data reduction. The features were ranked according to Student’s t test. The three most significant features were used to develop the autism index, while the ranked feature set was input to SVM polynomials 1, 2, and 3 for classification. The SVM polynomial 2 yielded the highest classification accuracy of 98.70% with 20 features. The developed classification system is likely to aid healthcare professionals as a diagnostic tool to detect autism. With more data, in our future work, we intend to employ deep learning models and to explore a cloud-based detection system for the detection of autism. Our study is novel, as we have analyzed all nonlinear features, and we are one of the first groups to have uniquely developed an autism (ASD) index using the extracted features.

scholarly journals Prenatal Risk for Autism Spectrum Disorder (ASD): Fetal Cortisol Exposure Predicts Child ASD Symptoms

2018 ◽  
Vol 7 (2) ◽  
pp. 349-361 ◽  
Author(s):  
Sheena Ram ◽  
Mariann A. Howland ◽  
Curt A. Sandman ◽  
Elysia Poggi Davis ◽  
Laura M. Glynn
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Maternal Plasma ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Sexually Dimorphic ◽  
Fetal Exposure ◽  
Prospective Longitudinal Study ◽  
The Social ◽  
Prospective Longitudinal

The etiology of autism spectrum disorder (ASD) is multifactorial, complex, and likely involves interactions among genetic, epigenetic, and environmental factors. With respect to environmental influences, a growing literature implicates intrauterine experiences in the origin of this pervasive developmental disorder. In this prospective longitudinal study, we examined the hypothesis that fetal exposure to maternal cortisol may confer ASD risk. In addition, because ASD is four times more prevalent in males than in females, and because sexually dimorphic responses to intrauterine experiences are commonly observed, we examined whether or not any associations differ by fetal sex. Maternal plasma cortisol was measured at 15, 19, 25, 31, and 37 weeks’ gestation in a sample of 84 pregnant women. ASD symptoms were assessed in their 5-year-old children with the Social Communication Questionnaire (SCQ). Fetal exposure to lower levels of maternal cortisol was associated with higher levels of ASD symptoms only among boys. The observed hypocortisolemic profile exhibited by these mothers may indicate a risk factor that precedes the stress of caregiving for a child with ASD and may not be solely a consequence of the stress of caregiving, as previously thought. These findings confirm the value of examining prenatal hormone exposures as predictors of ASD risk and support the premise that altered prenatal steroid exposures may play a role in the etiology of ASD.

scholarly journals The Association between Autism Spectrum Disorder and Pre- and Postnatal Antibiotic Exposure in Childhood—A Systematic Review with Meta-Analysis

2019 ◽  
Vol 16 (20) ◽  
pp. 4042 ◽  
Author(s):  
Eunmi Lee ◽  
Jeonghyun Cho ◽  
Ka Young Kim
Keyword(s):  
Autism Spectrum Disorder ◽  
Developmental Disorder ◽  
Web Of Science ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Cochrane Library ◽  
Antibiotic Exposure ◽  
Children With Asd ◽  
Meta Analyses

Autism spectrum disorder (ASD) is a developmental disorder that begins in early childhood and has been associated with several environmental and genetic factors. We aimed to conduct two-side meta-analyses to determine the association between ASD and pre- and postnatal antibiotic exposure in childhood. We searched PubMed, Embase, Web of Science, and Cochrane Library for articles published up to February 2019. We evaluated observational studies that assessed the association between ASD and antibiotic exposure. Of 1459 articles, nine studies were used in the meta-analysis. We found that early antibiotic exposure, including pre- and postnatal, significantly increased the ASD risk in children. Furthermore, early antibiotic exposure, including pre- and postnatal, was significantly increased in children with ASD. Specifically, prenatal antibiotic exposure was significantly increased in children with ASD; however, postnatal antibiotic exposure was not. Our results indicate an association between ASD and early antibiotic exposure; specifically, that prenatal antibiotic exposure is an important risk factor of ASD in children.

scholarly journals Neonatal jaundice in association with autism spectrum disorder and developmental disorder

2019 ◽  
Vol 40 (2) ◽  
pp. 219-225 ◽  
Author(s):  
Christina Cordero ◽  
Laura A. Schieve ◽  
Lisa A. Croen ◽  
Stephanie M. Engel ◽  
Anna Maria Siega-Riz ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Neonatal Jaundice ◽  
Developmental Disorder ◽  
Autism Spectrum ◽  
Spectrum Disorder

scholarly journals Neural features of sustained emotional information processing in autism spectrum disorder

Autism ◽  
2020 ◽  
Vol 24 (4) ◽  
pp. 941-953 ◽  
Author(s):  
Carla A Mazefsky ◽  
Amanda Collier ◽  
Josh Golt ◽  
Greg J Siegle
Keyword(s):  
Autism Spectrum Disorder ◽  
Emotion Dysregulation ◽  
Emotional Processing ◽  
Brain Activity ◽  
A Priori ◽  
Brain Regions ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Typically Developing ◽  
Autism Spectrum Disorder Group

Emotion dysregulation is common in autism spectrum disorder; a better understanding of the underlying neural mechanisms could inform treatment development. The tendency toward repetitive cognition in autism spectrum disorder may also increase susceptibility to perseverate on distressing stimuli, which may then increase emotion dysregulation. Therefore, this study investigated the mechanisms of sustained processing of negative information in brain activity using functional magnetic resonance imaging. We used an event-related task that alternated between emotional processing of personally relevant negative words, neutral words, and a non-emotional task. A priori criteria were developed to define heightened and sustained emotional processing, and feature conjunction analysis was conducted to identify all regions satisfying these criteria. Participants included 25 adolescents with autism spectrum disorder and 23 IQ-, age-, and gender-matched typically developing controls. Regions satisfying all a priori criteria included areas in the salience network and the prefrontal dorsolateral cortex, which are areas implicated in emotion regulation outside of autism spectrum disorder. Collectively, activity in the identified regions accounted for a significant amount of variance in emotion dysregulation in the autism spectrum disorder group. Overall, these results may provide a potential neural mechanism to explain emotion dysregulation in autism spectrum disorder, which is a significant risk factor for poor mental health. Lay abstract Many individuals with autism spectrum disorder struggle with emotions that are intense and interfering, which is referred to as emotion dysregulation. Prior research has established that individuals with autism may be more likely than individuals who are not autistic to have repetitive thoughts. It is possible that persistent thoughts about negative or distressing stimuli may contribute to emotion dysregulation in autism spectrum disorder. This study aimed to identify areas of the brain with evidence of persistent processing of negative information via functional magnetic resonance neuroimaging. We used a task that alternated between emotional processing of personally relevant negative words, neutral words, and a non-emotional task. Criteria were developed to define heightened and persistent emotional processing, and analyses were conducted to identify all brain regions satisfying these criteria. Participants included 25 adolescents with autism spectrum disorder and 23 typically developing adolescents who were similar to the autism spectrum disorder group in IQ, age, and gender ratios. Brain regions identified as having greater and continued processing following negative stimuli in the autism spectrum disorder group as compared with the typically developing group included the salience network and the prefrontal dorsolateral cortex. These areas have been previously implicated in emotion dysregulation outside of autism spectrum disorder. Collectively, brain activity in the identified regions was associated with parent-reported emotion dysregulation in the autism spectrum disorder group. These results help to identify a potential process in the brain associated with emotion dysregulation in autism spectrum disorder. This information may be useful for the development of treatments to decrease emotion dysregulation in autism spectrum disorder.

scholarly journals Reproducible functional connectivity alterations are associated with autism spectrum disorder

2018 ◽  
Author(s):  
Štefan Holiga ◽  
Joerg F. Hipp ◽  
Christopher H. Chatham ◽  
Pilar Garces ◽  
Will Spooren ◽  
...  
Keyword(s):  
Autism Spectrum Disorder ◽  
Functional Connectivity ◽  
Large Scale ◽  
Clinical Symptoms ◽  
Brain Activity ◽  
Network Connectivity ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Replication Procedure ◽  
Medication Status

AbstractDespite the high clinical burden little is known about pathophysiology underlying autism spectrum disorder (ASD). Recent resting state functional magnetic resonance imaging (rs-fMRI) studies have found atypical synchronization of brain activity in ASD. However, no consensus has been reached on the nature and clinical relevance of these alterations. Here we address these questions in the most comprehensive, large-scale effort to date comprising evaluation of four large ASD cohorts. We followed a strict exploration and replication procedure to identify core rs-fMRI functional connectivity (degree centrality) alterations associated with ASD as compared to typically developing (TD) controls (ASD: N=841, TD: N=984). We then tested for associations of these imaging phenotypes with clinical and demographic factors such as age, sex, medication status and clinical symptom severity. We find reproducible patterns of ASD-associated functional hyper- and hypo-connectivity with hypo-connectivity being primarily restricted to sensory-motor regions and hyper-connectivity hubs being predominately located in prefrontal and parietal cortices. We establish shifts in between-network connectivity from outside to within the identified regions as a key driver of these abnormalities. The magnitude of these alterations is linked to core ASD symptoms related to communication and social interaction and is not affected by age, sex or medication status. The identified brain functional alterations provide a reproducible pathophysiological phenotype underlying the diagnosis of ASD reconciling previous divergent findings. The large effect sizes in standardized cohorts and the link to clinical symptoms emphasize the importance of the identified imaging alterations as potential treatment and stratification biomarkers for ASD.

scholarly journals Parent Training Program for Autism Spectrum Disorder During The Covid-19 Pandemic Period in Indonesia

2020 ◽  
Vol 9 (2) ◽  
pp. 60
Author(s):  
Ina Dewi Ardiyani ◽  
Nining Febriyana ◽  
Yunias Setiawati ◽  
Royke Tony Kalalo
Keyword(s):  
Autism Spectrum Disorder ◽  
Early Intervention ◽  
Social Interaction ◽  
Parent Training ◽  
Developmental Disorder ◽  
Primary Caregivers ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Treatment Service ◽  
Parent Training Program

Autism Spectrum Disorder (ASD) is a pervasive developmental disorder that shows difficulties in communication, social interaction, behavior, interests and activities that are limited and repetitive. The prevalence of ASD also continues to increase worldwide, followed by an increase in the need for early intervention in ASD children. The limited services available make early intervention a challenge in itself. The long Covid-19 pandemic has resulted in limited therapy, because therapy in treatment service facilities cannot be carried out as before. In this case it is important to involve parents as the primary caregivers for ASD children in interventions to anticipate the limited interventions due to a pandemic situation. Parent Training can be done as an effort to provide information, education, and skills to parents so that they can provide intensive, comprehensive, sustainable, and early intervention.

Designing a Successful Neurofeedback Training for Children with Autism Spectrum Disorder

2020 ◽  
Vol 9 (3) ◽  
pp. 175-185
Author(s):  
Elisabeth V. C. Friedrich
Keyword(s):  
Autism Spectrum Disorder ◽  
Brain Activity ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Spectrum Disorder ◽  
Successful Implementation ◽  
Neurofeedback Training ◽  
Complex Disorder ◽  
Specific Symptoms ◽  
Training Protocol

Abstract. The goal of this article was to highlight important issues that have to be considered when designing an electroencephalography (EEG)-based neurofeedback training for children with Autism Spectrum Disorder and to provide practical advice for a successful implementation. Autism is a heterogeneous and complex disorder, which leads to a broad and varied profile of symptoms as well as to huge individual differences between the affected children. This is why the neurofeedback training protocol has to be individually designed based on the specific symptoms as well as in consideration of the existing theories about aberrant brain activity, and why it then needs to be evaluated empirically. Furthermore, neurofeedback training has to be optimized individually regarding the specific control signal, feedback and practical implementations in order to lead to the desired improvements.

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