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[HTML][HTML] Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics
Many studies have analyzed resting state functional magnetic resonance imaging (rs-fMRI)
dynamic functional network connectivity (dFNC) data to elucidate the effects of neurological …
dynamic functional network connectivity (dFNC) data to elucidate the effects of neurological …
Explainable fuzzy clustering framework reveals divergent default mode network connectivity dynamics in schizophrenia
Introduction Dynamic functional network connectivity (dFNC) analysis of resting state
functional magnetic resonance imaging data has yielded insights into many neurological …
functional magnetic resonance imaging data has yielded insights into many neurological …
Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (N > 6,000)
Introduction Numerous studies have shown that aging has important effects on specific
functional networks of the brain and leads to brain functional connectivity decline. However …
functional networks of the brain and leads to brain functional connectivity decline. However …
EEG alpha reactivity on eyes opening discriminates patients with schizophrenia and schizoaffective disorder
Objective Alpha activity in the electroencephalogram (EEG) is typically dominant during rest
with closed eyes but suppressed by visual stimulation. Previous research has shown that …
with closed eyes but suppressed by visual stimulation. Previous research has shown that …
The overlap across psychotic disorders: A functional network connectivity analysis
Functional network connectivity (FNC) has previously been shown to distinguish patient
groups from healthy controls (HC). However, the overlap across psychiatric disorders such …
groups from healthy controls (HC). However, the overlap across psychiatric disorders such …