[HTML][HTML] Machine learning and rs-fMRI to identify potential brain regions associated with autism severity

ID Rodrigues, EA de Carvalho, CP Santana, GS Bastos - Algorithms, 2022 - mdpi.com
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized primarily
by social impairments that manifest in different severity levels. In recent years, many studies …

[HTML][HTML] Autism spectrum disorder studies using fMRI data and machine learning: a review

M Liu, B Li, D Hu - Frontiers in Neuroscience, 2021 - frontiersin.org
Machine learning methods have been frequently applied in the field of cognitive
neuroscience in the last decade. A great deal of attention has been attracted to introduce …

[HTML][HTML] Neural biomarkers distinguish severe from mild autism spectrum disorder among high-functioning individuals

D Chen, T Jia, Y Zhang, M Cao, E Loth… - Frontiers in human …, 2021 - frontiersin.org
Several previous studies have reported atypicality in resting-state functional connectivity
(FC) in autism spectrum disorder (ASD), yet the relatively small effect sizes prevent us from …

[HTML][HTML] Evaluation of altered functional connections in male children with autism spectrum disorders on multiple-site data optimized with machine learning

G Spera, A Retico, P Bosco, E Ferrari… - Frontiers in …, 2019 - frontiersin.org
No univocal and reliable brain-based biomarkers have been detected to date in Autism
Spectrum Disorders (ASD). Neuroimaging studies have consistently revealed alterations in …

[图书][B] Machine learning based autism detection using brain imaging

GJ Katuwal - 2017 - search.proquest.com
Abstract Autism Spectrum Disorder (ASD) is a group of heterogeneous developmental
disabilities that manifest in early childhood. Currently, ASD is primarily diagnosed by …

A review of methods for classification and recognition of ASD using fMRI data

W Feng, G Liu, K Zeng, M Zeng, Y Liu - Journal of neuroscience methods, 2022 - Elsevier
Autism spectrum disorder (ASD) is a severe neuropsychiatric brain disorder that affects
people's social communication and daily routine. Considering the phenomenon of abnormal …

[HTML][HTML] Reproducible neuroimaging features for diagnosis of autism spectrum disorder with machine learning

CJ Mellema, KP Nguyen, A Treacher, A Montillo - Scientific reports, 2022 - nature.com
Autism spectrum disorder (ASD) is the fourth most common neurodevelopmental disorder,
with a prevalence of 1 in 160 children. Accurate diagnosis relies on experts, but such …

A novel grading system for autism severity level using task-based functional MRI: a response to speech study

R Haweel, AM Shalaby, AH Mahmoud, M Ghazal… - IEEE …, 2021 - ieeexplore.ieee.org
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with
impairments in social and lingual abilities. Failure in language development is variable in …

[HTML][HTML] Insights from an autism imaging biomarker challenge: promises and threats to biomarker discovery

N Traut, K Heuer, G Lemaître, A Beggiato… - NeuroImage, 2022 - Elsevier
MRI has been extensively used to identify anatomical and functional differences in Autism
Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate …

A novel framework for grading autism severity using task-based fmri

R Haweel, O Dekhil, A Shalaby… - 2020 IEEE 17th …, 2020 - ieeexplore.ieee.org
Autism is a developmental disorder associated with difficulties in communication and social
interaction. Currently, the gold standard in autism diagnosis is the autism diagnostic …