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  Linking entropy at rest with the underlying structural connectivity in the healthy and lesioned brain

Saenger, V. M., Ponce-Alvarez, A., Adhikari, M., Hagmann, P., Deco, G., & Corbetta, M. (2018). Linking entropy at rest with the underlying structural connectivity in the healthy and lesioned brain. Cerebral Cortex, 28(8), 2948-2958. doi:10.1093/cercor/bhx176.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-5E09-C Version Permalink: http://hdl.handle.net/21.11116/0000-0003-97B9-2
Genre: Journal Article

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 Creators:
Saenger, Victor M. 1, Author
Ponce-Alvarez, Adrián 1, Author
Adhikari, Mohit 1, Author
Hagmann, Patric 2, 3, Author
Deco, Gustavo1, 4, 5, 6, Author              
Corbetta, Maurizio 7, Author
Affiliations:
1Department of Information and Communication Technologies, Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
2Department of Radiology, Centre hospitalier universitaire vaudois, Lausanne, Switzerland, ou_persistent22              
3Signal Processing Laboratory 5, Swiss Federal Institute of Technology in Lausanne, Switzerland, ou_persistent22              
4Catalan Institution for Research and Advanced Studies (ICREA), University Pompeu Fabra, Barcelona, Spain, ou_persistent22              
5Department Neuropsychology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634551              
6School of Psychological Sciences, Monash University, Melbourne, Australia, ou_persistent22              
7Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA, ou_persistent22              

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Free keywords: Entropy; Information flow; Stroke; Structural connectivity; Whole-brain modeling
 Abstract: The brain is a network that mediates information processing through a wide range of states. The extent of state diversity is a reflection of the entropy of the network. Here we measured the entropy of brain regions (nodes) in empirical and modeled functional networks reconstructed from resting state fMRI to address the connection of entropy at rest with the underlying structure measured through diffusion spectrum imaging. Using 18 empirical and 18 modeled stroke networks, we also investigated the effect that focal lesions have on node entropy and information diffusion. Overall, positive correlations between node entropy and structure were observed, especially between node entropy and node strength in both empirical and modeled data. Although lesions were restricted to one hemisphere in all stroke patients, entropy reduction was not only present in nodes from the damaged hemisphere, but also in nodes from the contralesioned hemisphere, an effect replicated in modeled stroke networks. Globally, information diffusion was also affected in empirical and modeled strokes compared with healthy controls. This is the first study showing that artificial lesions affect local and global network aspects in very similar ways compared with empirical strokes, shedding new light into the functional nature of stroke.

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Language(s): eng - English
 Dates: 2017-05-222016-12-122017-07-132018-08-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1093/cercor/bhx176
PMID: 28981635
PMC: PMC6248473
 Degree: -

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Project name : The Dynamical and Structural Basis of Human Mind Complexity: Segregation and Integration of Information and Processing in the Brain / DYSTRUCTURE
Grant ID : 295129
Funding program : Funding Programme 7
Funding organization : European Commission (EC)
Project name : Spanish National Project Complexity of Brain States
Grant ID : PSI2016-75688-P
Funding program : -
Funding organization : Spanish Research Agency (AEI) and the European Regional Development Fund (ERDF)
Project name : Human Brain Project Specific Grant Agreement 1 / HBP SGA1
Grant ID : 720270
Funding program : Horizon 2020
Funding organization : European Commission (EC)
Project name : -
Grant ID : IJCI-2014–066
Funding program : Juan de la Cierva fellowship
Funding organization : Spanish Ministry of Economy and Competitiveness
Project name : -
Grant ID : PSI2013-42091-P
Funding program : Research Personnel Training program
Funding organization : Spanish Ministry of Economy and Competitiveness

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Title: Cerebral Cortex
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: New York, NY : Oxford University Press
Pages: - Volume / Issue: 28 (8) Sequence Number: - Start / End Page: 2948 - 2958 Identifier: ISSN: 1047-3211
CoNE: https://pure.mpg.de/cone/journals/resource/954925592440