Linking structural and effective brain connectivity: structurally informed Parametric Empirical Bayes (si-PEB).

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Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_B2BEED595182
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Linking structural and effective brain connectivity: structurally informed Parametric Empirical Bayes (si-PEB).
Journal
Brain structure & function
Author(s)
Sokolov A.A., Zeidman P., Erb M., Ryvlin P., Pavlova M.A., Friston K.J.
ISSN
1863-2661 (Electronic)
ISSN-L
1863-2653
Publication state
Published
Issued date
01/2019
Peer-reviewed
Oui
Volume
224
Number
1
Pages
205-217
Language
english
Notes
Publication types: Journal Article
Publication Status: ppublish
Abstract
Despite the potential for better understanding functional neuroanatomy, the complex relationship between neuroimaging measures of brain structure and function has confounded integrative, multimodal analyses of brain connectivity. This is particularly true for task-related effective connectivity, which describes the causal influences between neuronal populations. Here, we assess whether measures of structural connectivity may usefully inform estimates of effective connectivity in larger scale brain networks. To this end, we introduce an integrative approach, capitalising on two recent statistical advances: Parametric Empirical Bayes, which provides group-level estimates of effective connectivity, and Bayesian model reduction, which enables rapid comparison of competing models. Crucially, we show that structural priors derived from high angular resolution diffusion imaging on a dynamic causal model of a 12-region network-based on functional MRI data from the same subjects-substantially improve model evidence (posterior probability 1.00). This provides definitive evidence that structural and effective connectivity depend upon each other in mediating distributed, large-scale interactions in the brain. Furthermore, this work offers novel perspectives for understanding normal brain architecture and its disintegration in clinical conditions.
Keywords
Adult, Bayes Theorem, Brain/cytology, Brain/diagnostic imaging, Brain/physiology, Brain Mapping/methods, Diffusion Magnetic Resonance Imaging, Humans, Male, Models, Neurological, Models, Statistical, Neural Pathways/cytology, Neural Pathways/diagnostic imaging, Neural Pathways/physiology, Photic Stimulation, Synaptic Transmission, Time Factors, Visual Perception, Dynamic causal modelling (DCM), Effective connectivity, Functional MRI, Structural connectivity
Pubmed
Web of science
Open Access
Yes
Create date
17/10/2018 9:34
Last modification date
20/08/2019 16:21
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