A survey of brain functional network extraction methods using fMRI data

Y Du, S Fang, X He, VD Calhoun - Trends in Neurosciences, 2024 - Elsevier
Functional network (FN) analyses play a pivotal role in uncovering insights into brain
function and understanding the pathophysiology of various brain disorders. This paper …

[HTML][HTML] Pairing explainable deep learning classification with clustering to uncover effects of schizophrenia upon whole brain functional network connectivity dynamics

CA Ellis, RL Miller, VD Calhoun - Neuroimage: Reports, 2023 - Elsevier
Many studies have analyzed resting state functional magnetic resonance imaging (rs-fMRI)
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

CA Ellis, RL Miller, VD Calhoun - Frontiers in Psychiatry, 2024 - frontiersin.org
Introduction Dynamic functional network connectivity (dFNC) analysis of resting state
functional magnetic resonance imaging data has yielded insights into many neurological …

Increased functional connectivity between default mode network and visual network potentially correlates with duration of residual dizziness in patients with benign …

Z Chen, Y Cai, L Xiao, XE Wei, Y Liu, C Lin… - Frontiers in …, 2024 - frontiersin.org
Objective To assess changes in static and dynamic functional network connectivity (sFNC
and dFNC) and explore their correlations with clinical features in benign paroxysmal …

[HTML][HTML] Functional brain network dynamics of brooding in depression: insights from real-time fMRI neurofeedback

S Ganesan, M Misaki, A Zalesky, A Tsuchiyagaito - medRxiv, 2024 - ncbi.nlm.nih.gov
Background: Brooding is a critical symptom and prognostic factor of major depressive
disorder (MDD), which involves passively dwelling on self-referential dysphoria and related …