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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Regression dynamic causal modeling for resting-state fMRI

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