Tools of the trade: estimating time-varying connectivity patterns from fMRI data

A Iraji, A Faghiri, N Lewis, Z Fu… - Social cognitive and …, 2021 - academic.oup.com
Given the dynamic nature of the brain, there has always been a motivation to move beyond
'static'functional connectivity, which characterizes functional interactions over an extended …

Questions and controversies in the study of time-varying functional connectivity in resting fMRI

DJ Lurie, D Kessler, DS Bassett, RF Betzel… - Network …, 2020 - direct.mit.edu
The brain is a complex, multiscale dynamical system composed of many interacting regions.
Knowledge of the spatiotemporal organization of these interactions is critical for establishing …

[HTML][HTML] The dynamic functional connectome: State-of-the-art and perspectives

MG Preti, TAW Bolton, D Van De Ville - Neuroimage, 2017 - Elsevier
Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich
structure of brain activity in absence of a task or stimulus. A great effort has been dedicated …

[HTML][HTML] Dynamics of large-scale fMRI networks: Deconstruct brain activity to build better models of brain function

FI Karahanoğlu, D Van De Ville - Current Opinion in Biomedical …, 2017 - Elsevier
Ongoing fluctuations of brain activity measured by functional magnetic resonance imaging
(fMRI) provide a novel window onto the organizational principles of brain function. Advances …

Dynamic functional connectivity: promise, issues, and interpretations

RM Hutchison, T Womelsdorf, EA Allen, PA Bandettini… - Neuroimage, 2013 - Elsevier
The brain must dynamically integrate, coordinate, and respond to internal and external
stimuli across multiple time scales. Non-invasive measurements of brain activity with fMRI …

Characterizing rapid fluctuations of resting state functional connectivity in demyelinating, neurodegenerative, and psychiatric conditions: from static to time-varying …

P Valsasina, M Hidalgo de la Cruz, M Filippi… - Frontiers in …, 2019 - frontiersin.org
Functional magnetic resonance imaging (fMRI) at resting state (RS) has been widely used to
characterize the main brain networks. Functional connectivity (FC) has been mostly …

Dynamic mode decomposition of resting-state and task fMRI

J Casorso, X Kong, W Chi, D Van De Ville, BTT Yeo… - NeuroImage, 2019 - Elsevier
Component analysis is a powerful tool to identify dominant patterns of interactions in
multivariate datasets. In the context of fMRI data, methods such as principal component …

Principal components of functional connectivity: a new approach to study dynamic brain connectivity during rest

N Leonardi, J Richiardi, M Gschwind, S Simioni… - NeuroImage, 2013 - Elsevier
Functional connectivity (FC) as measured by correlation between fMRI BOLD time courses
of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in …

Resting state dynamic functional connectivity in neurodegenerative conditions: a review of magnetic resonance imaging findings

M Filippi, EG Spinelli, C Cividini, F Agosta - Frontiers in neuroscience, 2019 - frontiersin.org
In the last few decades, brain functional connectivity (FC) has been extensively assessed
using resting-state functional magnetic resonance imaging (RS-fMRI), which is able to …

Spatial dynamic functional connectivity analysis identifies distinctive biomarkers in schizophrenia

S Bhinge, Q Long, VD Calhoun, T Adali - Frontiers in neuroscience, 2019 - frontiersin.org
Dynamic functional network connectivity (dFNC) analysis is a widely-used to study
associations between dynamic functional correlations and cognitive abilities. Traditional …