[HTML][HTML] Classification and prediction of brain disorders using functional connectivity: promising but challenging

Y Du, Z Fu, VD Calhoun - Frontiers in neuroscience, 2018 - frontiersin.org
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …

The default mode network in autism

A Padmanabhan, CJ Lynch, M Schaer… - Biological Psychiatry …, 2017 - Elsevier
Autism spectrum disorder (ASD) is characterized by deficits in social communication and
interaction. Since its discovery as a major functional brain system, the default mode network …

[HTML][HTML] ASD-DiagNet: a hybrid learning approach for detection of autism spectrum disorder using fMRI data

T Eslami, V Mirjalili, A Fong, AR Laird… - Frontiers in …, 2019 - frontiersin.org
Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously
difficult to diagnose, especially in children. The current psychiatric diagnostic process is …

Towards a brain‐based predictome of mental illness

B Rashid, V Calhoun - Human brain mapping, 2020 - Wiley Online Library
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …

[HTML][HTML] rs-fMRI and machine learning for ASD diagnosis: A systematic review and meta-analysis

CP Santana, EA de Carvalho, ID Rodrigues… - Scientific reports, 2022 - nature.com
Abstract Autism Spectrum Disorder (ASD) diagnosis is still based on behavioral criteria
through a lengthy and time-consuming process. Much effort is being made to identify brain …

[HTML][HTML] A small number of abnormal brain connections predicts adult autism spectrum disorder

N Yahata, J Morimoto, R Hashimoto, G Lisi… - Nature …, 2016 - nature.com
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …

[HTML][HTML] 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] Deep learning and neurology: a systematic review

AAA Valliani, D Ranti, EK Oermann - Neurology and therapy, 2019 - Springer
Deciphering the massive volume of complex electronic data that has been compiled by
hospital systems over the past decades has the potential to revolutionize modern medicine …

Dynamic changes of amplitude of low‐frequency fluctuations in patients with generalized anxiety disorder

Q Cui, W Sheng, Y Chen, Y Pang, F Lu… - Human brain …, 2020 - Wiley Online Library
Previous neuroimaging studies have mainly focused on alterations of static and dynamic
functional connectivity in patients with generalized anxiety disorder (GAD). However, the …

From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder

T Wolfers, DL Floris, R Dinga, D van Rooij… - Neuroscience & …, 2019 - Elsevier
Pattern classification and stratification approaches have increasingly been used in research
on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation …