Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry

Mehta-Pandejee, Grishma, Robinson, P. A., Henderson, James A., Aquino, K. M. and Sarkar, Somwrita (2017) Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry. Preventive Veterinary Medicine, 283 42-54. doi:10.1016/j.jneumeth.2017.03.014


Author Mehta-Pandejee, Grishma
Robinson, P. A.
Henderson, James A.
Aquino, K. M.
Sarkar, Somwrita
Title Inference of direct and multistep effective connectivities from functional connectivity of the brain and of relationships to cortical geometry
Journal name Preventive Veterinary Medicine   Check publisher's open access policy
ISSN 1872-678X
1873-1716
Publication date 2017-05-01
Sub-type Article (original research)
DOI 10.1016/j.jneumeth.2017.03.014
Open Access Status Not yet assessed
Volume 283
Start page 42
End page 54
Total pages 13
Place of publication Amsterdam, Netherlands
Publisher Elsevier BV
Collection year 2018
Language eng
Formatted abstract
Background: The problem of inferring effective brain connectivity from functional connectivity is under active investigation, and connectivity via multistep paths is poorly understood.

New method: A method is presented to calculate the direct effective connection matrix (deCM), which embodies direct connection strengths between brain regions, from functional CMs (fCMs) by minimizing the difference between an experimental fCM and one calculated via neural field theory from an ansatz deCM based on an experimental anatomical CM.

Results: The best match between fCMs occurs close to a critical point, consistent with independent published stability estimates. Residual mismatch between fCMs is identified to be largely due to interhemispheric connections that are poorly estimated in an initial ansatz deCM due to experimental limitations; improved ansatzes substantially reduce the mismatch and enable interhemispheric connections to be estimated. Various levels of significant multistep connections are then imaged via the neural field theory (NFT) result that these correspond to powers of the deCM; these are shown to be predictable from geometric distances between regions.

Comparison with existing methods: This method gives insight into direct and multistep effective connectivity from fCMs and relating to physiology and brain geometry. This contrasts with other methods, which progressively adjust connections without an overarching physiologically based framework to deal with multistep or poorly estimated connections.

Conclusions: deCMs can be usefully estimated using this method and the results enable multistep connections to be investigated systematically.
Keyword Anatomical connectivity
Cortical geometry
Effective connectivity
Functional connectivity
Global mode removal
Multistep connections
Neural field theory
Norm-minimization
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Information Technology and Electrical Engineering Publications
 
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