[HTML][HTML] Machine learning and rs-fMRI to identify potential brain regions associated with autism severity
Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized primarily
by social impairments that manifest in different severity levels. In recent years, many studies …
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 …
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
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 …
(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
No univocal and reliable brain-based biomarkers have been detected to date in Autism
Spectrum Disorders (ASD). Neuroimaging studies have consistently revealed alterations in …
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 …
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 …
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 …
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
Autism spectrum disorder (ASD) is a neuro-developmental disorder associated with
impairments in social and lingual abilities. Failure in language development is variable in …
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
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 …
Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate …
A novel framework for grading autism severity using task-based fmri
Autism is a developmental disorder associated with difficulties in communication and social
interaction. Currently, the gold standard in autism diagnosis is the autism diagnostic …
interaction. Currently, the gold standard in autism diagnosis is the autism diagnostic …
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