Deep learning for neuroimaging-based diagnosis and rehabilitation of autism spectrum disorder: a review

M Khodatars, A Shoeibi, D Sadeghi… - Computers in biology …, 2021 - Elsevier
Abstract Accurate diagnosis of Autism Spectrum Disorder (ASD) followed by effective
rehabilitation is essential for the management of this disorder. Artificial intelligence (AI) …

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

P Moridian, N Ghassemi, M Jafari… - Frontiers in Molecular …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and
symptoms that appear in early childhood. ASD is also associated with communication …

[HTML][HTML] A review of machine learning methods of feature selection and classification for autism spectrum disorder

MM Rahman, OL Usman, RC Muniyandi, S Sahran… - Brain sciences, 2020 - mdpi.com
Autism Spectrum Disorder (ASD), according to DSM-5 in the American Psychiatric
Association, is a neurodevelopmental disorder that includes deficits of social communication …

A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual Review of Biomedical Data …, 2023 - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

Ayres theories of autism and sensory integration revisited: What contemporary neuroscience has to say

E Kilroy, L Aziz-Zadeh, S Cermak - Brain sciences, 2019 - mdpi.com
Abnormal sensory-based behaviors are a defining feature of autism spectrum disorders
(ASD). Dr. A. Jean Ayres was the first occupational therapist to conceptualize Sensory …

Functional connectivity-based prediction of autism on site harmonized ABIDE dataset

M Ingalhalikar, S Shinde, A Karmarkar… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
Objective: The larger sample sizes available from multi-site publicly available neuroimaging
data repositories makes machine-learning based diagnostic classification of mental …

Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging

RA Bahathiq, H Banjar, AK Bamaga… - Frontiers in …, 2022 - frontiersin.org
Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder that affects
approximately 1% of the population and causes significant burdens. ASD's pathogenesis …

A myelin-related transcriptomic profile is shared by Pitt–Hopkins syndrome models and human autism spectrum disorder

BDN Phan, JF Bohlen, BA Davis, Z Ye, HY Chen… - Nature …, 2020 - nature.com
Autism spectrum disorder (ASD) is genetically heterogeneous with convergent
symptomatology, suggesting common dysregulated pathways. In this study, we analyzed …

An optimized Kernel Extreme Learning Machine for the classification of the autism spectrum disorder by using gaze tracking images

A Gaspar, D Oliva, S Hinojosa, I Aranguren… - Applied Soft …, 2022 - Elsevier
Autism spectrum disorder (ASD) is a lifelong neurological condition that affects how a
person interacts and learns. The early and accurate diagnosis of ASD is vital to develo** a …

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

S Calderoni - Journal of Neuroscience Research, 2023 - Wiley Online Library
Autism spectrum disorders (ASD) are a heterogeneous group of neurodevelopmental
conditions whose shared core features are impairments in social interaction and …