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

Victor M. Saenger, Adrián Ponce-Alvarez, Mohit Adhikari, Patric Hagmann, Gustavo Deco, Maurizio Corbetta

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)2948-2958
Number of pages11
JournalCerebral Cortex
Volume28
Issue number8
DOIs
StatePublished - Jan 1 2018

Keywords

  • Entropy
  • Information flow
  • Stroke
  • Structural connectivity
  • Whole-brain modeling

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