Article

Test-retest reliability of regression dynamic causal modeling

2021-06-01

Abstract excerpt

<h4> A bstract </h4> Regression dynamic causal modeling (rDCM) is a novel and computationally highly efficient method for inferring effective connectivity at the whole-brain level. While face and construct validity of rDCM have already been demonstrated, here we assessed its test-retest reliability – a test-theoretical property of particular importance for clinical applications – together with group-level consi...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 0981c58c-627e-56e3-8190-7d9eb899bae6
DOI: 10.1101/2021.06.01.446526

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Test-retest reliability of regression dynamic causal modelingDOI 10.1101/2021.06.01.446526Read

Short-term test-retest reliability of the human intrinsic functional connectomeSemantic proximity Read

The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRISemantic proximity Read

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activationsSemantic proximity Read

General Functional Connectivity: shared features of resting-state and task fMRI drive reliable and heritable individual differences in functional brain networksSemantic proximity Read

Neural manifold connectomics reveals multiregime functional connectivitySemantic proximity Read

Variability and reliability of effective connectivity within the core default mode network: A longitudinal spectral DCM studySemantic proximity Read

Structurally informed resting-state effective connectivity recapitulates cortical hierarchySemantic proximity Read

Connectivity RegressionSemantic proximity Read

Whole-brain estimates of directed connectivity for human connectomicsSemantic proximity Read

On stability of Canonical Correlation Analysis and Partial Least Squares with application to brain-behavior associationsSemantic proximity Read

Global Signal Regression Strengthens Association between Resting-State Functional Connectivity and BehaviorSemantic proximity Read

Increasing the reliability of functional connectivity by predicting long-scan functional connectivity based on short-scan functional connectivity: model exploration, explanation, validation, and applicationSemantic proximity Read