[HTML][HTML] Classification and prediction of brain disorders using functional connectivity: promising but challenging
Brain functional imaging data, especially functional magnetic resonance imaging (fMRI)
data, have been employed to reflect functional integration of the brain. Alteration in brain …
data, have been employed to reflect functional integration of the brain. Alteration in brain …
The default mode network in autism
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 …
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
Heterogeneous mental disorders such as Autism Spectrum Disorder (ASD) are notoriously
difficult to diagnose, especially in children. The current psychiatric diagnostic process is …
difficult to diagnose, especially in children. The current psychiatric diagnostic process is …
Towards a brain‐based predictome of mental illness
Neuroimaging‐based approaches have been extensively applied to study mental illness in
recent years and have deepened our understanding of both cognitively healthy and …
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
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 …
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
Although autism spectrum disorder (ASD) is a serious lifelong condition, its underlying
neural mechanism remains unclear. Recently, neuroimaging-based classifiers for ASD and …
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
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 …
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 …
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 …
functional connectivity in patients with generalized anxiety disorder (GAD). However, the …
From pattern classification to stratification: towards conceptualizing the heterogeneity of Autism Spectrum Disorder
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 …
on Autism Spectrum Disorder (ASD) over the last ten years with the goal of translation …