Time-varying brain connectivity in fMRI data: whole-brain data-driven approaches for capturing and characterizing dynamic states

VD Calhoun, T Adali - IEEE Signal Processing Magazine, 2016 - ieeexplore.ieee.org
The study of whole-brain functional brain connectivity with functional magnetic resonance
imaging (fMRI) has been based largely on the assumption that a given condition (eg, at rest …

[HTML][HTML] An imbalance between functional segregation and integration in patients with pontine stroke: a dynamic functional network connectivity study

Y Wang, C Wang, P Miao, J Liu, Y Wei, L Wu… - NeuroImage: Clinical, 2020 - Elsevier
Background Previous studies on brain functional connectivity have revealed the neural
physiopathology in patients with pontine stroke (PS). However, those studies focused only …

Transition dynamics of EEG-based network microstates during mental arithmetic and resting wakefulness reflects task-related modulations and developmental …

SI Dimitriadis, NA Laskaris, S Micheloyannis - Cognitive neurodynamics, 2015 - Springer
We studied how maturation influences the organization of functional brain networks
engaged during mental calculations and in resting state. Surface EEG measurements from …

Pregnancy leads to changes in the brain functional network: a connectome analysis

T Chu, Y Li, K Che, F Dong, H Ma, Y Shi… - Brain Imaging and …, 2021 - Springer
Pregnancy leads to long-lasting changes in human brain structure; however, little is known
regarding alterations in the topological organization of functional networks. In this study, we …

Brain network activation analysis utilizing spatiotemporal features for event related potentials classification

Y Stern, A Reches, AB Geva - Frontiers in computational …, 2016 - frontiersin.org
The purpose of this study was to introduce an improved tool for automated classification of
event-related potentials (ERPs) using spatiotemporally parcellated events incorporated into …

Exploring brain dynamic functional connectivity using improved principal components analysis based on template matching

Z Liu, Y Liu, P Zhao, W Li, Z Zhu, X Wen, X Wu - Brain Topography, 2021 - Springer
Principle components analysis (PCA) can be used to detect repeating co-variant patterns of
resting-state dynamic functional connectivity (DFC) of brain networks, accompanied with …

[PDF][PDF] Whole-brain data-driven approaches for capturing and characterizing time-varying spatio-temporal brain connectivity in fMRI data

VD Calhoun, T Adali - UMBC Faculty Collection - drive.google.com
The study of whole-brain functional brain connectivity with functional magnetic resonance
imaging (fMRI) has been largely based on the assumption that a given condition (eg, rest or …