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A DCM for resting state fMRI
by
Biswal, Bharat
, Razi, Adeel
, Kahan, Joshua
, Friston, Karl J.
in
Algorithms
/ Attention - physiology
/ Bayesian
/ Biological and medical sciences
/ Brain
/ Brain Mapping - methods
/ Computer Simulation
/ Data Interpretation, Statistical
/ Dynamic causal modelling
/ Economic models
/ Effective connectivity
/ fMRI
/ Fourier transforms
/ Functional connectivity
/ Fundamental and applied biological sciences. Psychology
/ Graph
/ Humans
/ Image Interpretation, Computer-Assisted - methods
/ Magnetic Resonance Imaging - methods
/ Models, Statistical
/ Motion Perception - physiology
/ Parkinson's disease
/ Reproducibility of Results
/ Rest - physiology
/ Resting state
/ Sensitivity and Specificity
/ Statistics
/ Technical Note
/ Vertebrates: nervous system and sense organs
/ Visual Cortex - physiology
2014
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A DCM for resting state fMRI
by
Biswal, Bharat
, Razi, Adeel
, Kahan, Joshua
, Friston, Karl J.
in
Algorithms
/ Attention - physiology
/ Bayesian
/ Biological and medical sciences
/ Brain
/ Brain Mapping - methods
/ Computer Simulation
/ Data Interpretation, Statistical
/ Dynamic causal modelling
/ Economic models
/ Effective connectivity
/ fMRI
/ Fourier transforms
/ Functional connectivity
/ Fundamental and applied biological sciences. Psychology
/ Graph
/ Humans
/ Image Interpretation, Computer-Assisted - methods
/ Magnetic Resonance Imaging - methods
/ Models, Statistical
/ Motion Perception - physiology
/ Parkinson's disease
/ Reproducibility of Results
/ Rest - physiology
/ Resting state
/ Sensitivity and Specificity
/ Statistics
/ Technical Note
/ Vertebrates: nervous system and sense organs
/ Visual Cortex - physiology
2014
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Do you wish to request the book?
A DCM for resting state fMRI
by
Biswal, Bharat
, Razi, Adeel
, Kahan, Joshua
, Friston, Karl J.
in
Algorithms
/ Attention - physiology
/ Bayesian
/ Biological and medical sciences
/ Brain
/ Brain Mapping - methods
/ Computer Simulation
/ Data Interpretation, Statistical
/ Dynamic causal modelling
/ Economic models
/ Effective connectivity
/ fMRI
/ Fourier transforms
/ Functional connectivity
/ Fundamental and applied biological sciences. Psychology
/ Graph
/ Humans
/ Image Interpretation, Computer-Assisted - methods
/ Magnetic Resonance Imaging - methods
/ Models, Statistical
/ Motion Perception - physiology
/ Parkinson's disease
/ Reproducibility of Results
/ Rest - physiology
/ Resting state
/ Sensitivity and Specificity
/ Statistics
/ Technical Note
/ Vertebrates: nervous system and sense organs
/ Visual Cortex - physiology
2014
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Journal Article
A DCM for resting state fMRI
2014
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Overview
This technical note introduces a dynamic causal model (DCM) for resting state fMRI time series based upon observed functional connectivity—as measured by the cross spectra among different brain regions. This DCM is based upon a deterministic model that generates predicted crossed spectra from a biophysically plausible model of coupled neuronal fluctuations in a distributed neuronal network or graph. Effectively, the resulting scheme finds the best effective connectivity among hidden neuronal states that explains the observed functional connectivity among haemodynamic responses. This is because the cross spectra contain all the information about (second order) statistical dependencies among regional dynamics. In this note, we focus on describing the model, its relationship to existing measures of directed and undirected functional connectivity and establishing its face validity using simulations. In subsequent papers, we will evaluate its construct validity in relation to stochastic DCM and its predictive validity in Parkinson's and Huntington's disease.
•This paper describes an efficient estimation of resting state connectivity.•The scheme is based on fitting observed complex fMRI cross spectra.•This spectral DCM grandfathers functional connectivity and Granger causality.
Publisher
Elsevier Inc,Elsevier,Elsevier Limited,Academic Press
Subject
/ Bayesian
/ Biological and medical sciences
/ Brain
/ Data Interpretation, Statistical
/ fMRI
/ Fundamental and applied biological sciences. Psychology
/ Graph
/ Humans
/ Image Interpretation, Computer-Assisted - methods
/ Magnetic Resonance Imaging - methods
/ Motion Perception - physiology
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