Regression dynamic causal modeling for resting-state fMRI

Regression dynamic causal modeling for resting-state fMRI

“Resting-state” functional magnetic resonance imaging (rs-fMRI) is widely used to study brain connectivity. So far, researchers have been restricted to measures of functional connectivity that are computationally efficient but undirected, or to effective connectivity estimates that are directed but...

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Bibliographic Details
Main Authors: Clementz, B.A (Author), Frässle, S. (Author), Gershon, E.S (Author), Harrison, S.J (Author), Heinzle, J. (Author), Keshavan, M.S (Author), Pearlson, G.D (Author), Powers, A. (Author), Stephan, K.E (Author), Sweeney, J.A (Author), Tamminga, C.A (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
adolescent
Adolescent
adult
Adult
angular gyrus
anterior insula
Article
BOLD signal
brain
Brain
causal modeling
cerebrospinal fluid
connectome
Connectome
connectomics
construct validity
cross-sectional study
default mode network
diagnostic imaging
dorsal anterior cingulate cortex
dorsal attention network
effective connectivity
executive network
female
functional connectivity
functional magnetic resonance imaging
functional neuroimaging
generative model
gray matter
hemodynamics
hierarchy
human
human experiment
Humans
inferior frontal gyrus
Magnetic Resonance Imaging
male
medial prefrontal cortex
middle aged
Middle Aged
Models, Theoretical
nerve cell network
Nerve Net
normal human
nuclear magnetic resonance imaging
physiology
posterior cingulate
prefrontal cortex
priority journal
procedures
regression analysis
Regression Analysis
regression dynamic causal modeling
resting state
salience network
signal noise ratio
task positive network
theoretical model
time series analysis
white matter
young adult
Young Adult
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