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Keyword: effective connectivity Clear all
2 claims from 1 paper
Neuroscience › Functional Brain Connectivity Studies
Regression dynamic causal modeling for resting‐state fMRI
Frässle, Harrison, Heinzle et al. · Human Brain Mapping · 2021
The paper shows that regression dynamic causal modelling, first built for task fMRI, can be applied to resting-state fMRI to give directed connectivity estimates across whole-brain networks efficiently.
Unchecked2 claimsShow 2 claims
- UncheckedIn rs-fMRI data from nearly 200 healthy people, rDCM gave biologically plausible connectivity estimates that were consistent with those from spectral DCM.“Using rs‐fMRI data from nearly 200 healthy participants, rDCM produces biologically plausible results consistent with estimates by spectral DCM.”
- UncheckedRegression dynamic causal modelling (rDCM) can reconstruct whole-brain networks of more than 200 areas within minutes on standard hardware.“Importantly, rDCM is computationally highly efficient, reconstructing whole‐brain networks (>200 areas) within minutes on standard hardware.”
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