Diverse genetic and environmental etiologies converge onto circuit level brain dysfunction in autism spectrum disorder (ASD), manifesting at a macroscopic level as aberrant neural connectivity. Previous studies have described atypical patterns of decreased short range and increased long range connectivity in ASD [1]. However, it remains unclear whether group level features of circuit dysfunction are consistently present across the range of cognitive function seen in the autism spectrum. The dynamics of neural oscillations in the alpha range (6-12 Hz) are exquisitely sensitive to healthy development of functional and structural connectivity. Alpha-band coherence, measured with high temporal-precision electroencephalography (EEG) therefore represents an ideal tool for studying neural connectivity in developmental populations. Here we examined spontaneous alpha phase coherence in a heterogeneous sample of 59 children with ASD and 39 age matched typically developing children. Using a data driven approach, we conducted an unbiased examination of all possible atypical connectivity patterns across all cortical regions. Long-range hypoconnectivity was present in children with ASD compared to typically developing children, with temporal interhemispheric connectivity showing the largest difference between the two groups. Decreased long range alpha coherence distinguishes a heterogeneous group of ASD children from typically developing children. Interhemispheric temporal hypoconnectivity represents a fundamental functional difference in children with ASD across a wide cognitive and age range that may reflect white matter disturbances or increased signal variability at temporal sites in ASD.
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http://dx.doi.org/10.1016/j.bbr.2018.04.026 | DOI Listing |
Phys Occup Ther Pediatr
January 2025
Occupational Science and Occupational Therapy, Eastern Kentucky University, Richmond, KY, USA.
Aims: The purpose of the study was to explore youth gymnastics coaches' perceptions on inclusive sports participation following an educational module. The study aims to explore implications for occupational therapy professionals' role in inclusive sports.
Methods: A qualitative descriptive approach was utilized with convenience sampling occurring through online platforms.
Int J Dev Neurosci
February 2025
Department of Computer Science and Engineering, Vels Institute of Science & Technology & Advanced Studies, Chennai, Tamilnadu, India.
Nowadays, virtual reality (VR) has emerged as a successful new therapeutic strategy in a variety of sectors of the health profession, including rehabilitation, the promotion of inpatients' emotional wellness, diagnostics, surgeon training and mental health therapy. This study develops a new model VRAPMG for children with ASD with the following steps that consider 3D gaming. In this work, the face image is considered to evaluate the attention of the children.
View Article and Find Full Text PDFPsychoradiology
January 2025
Department of Psychiatry, Xijing Hospital, Fourth Military Military Medical University, Xi'an 710032, China.
Digit Health
January 2025
Department of Computer Science, School of Systems and Technology, University of Management and Technology, Lahore, Pakistan.
Objective: Autism spectrum disorder (ASD) is a complex neurodevelopmental condition influenced by various genetic and environmental factors. Currently, there is no definitive clinical test, such as a blood analysis or brain scan, for early diagnosis. The objective of this study is to develop a computational model that predicts ASD driver genes in the early stages using genomic data, aiming to enhance early diagnosis and intervention.
View Article and Find Full Text PDFBr J Psychiatry
January 2025
Department of Psychology, Nottingham Trent University, UK; and Institute of Human Sciences, University of Oxford, UK.
Background: Reliable and specific biomarkers that can distinguish autism spectrum disorders (ASDs) from commonly co-occurring attention-deficit/hyperactivity disorder (ADHD) are lacking, causing misses and delays in diagnosis, and reducing access to interventions and quality of life.
Aims: To examine whether an innovative, brief (1-min), videogame method called Computerised Assessment of Motor Imitation (CAMI), can identify ASD-specific imitation differences compared with neurotypical children and children with ADHD.
Method: This cross-sectional study used CAMI alongside standardised parent-report (Social Responsiveness Scale, Second Edition) and observational measures of autism (Autism Diagnostic Observation Schedule-Second Edition; ADOS-2), ADHD (Conners) and motor ability (Physical and Neurological Examination for Soft Signs).
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