Literature DB >> 28104411

Brain and cognitive reserve: Translation via network control theory.

John Dominic Medaglia1, Fabio Pasqualetti2, Roy H Hamilton3, Sharon L Thompson-Schill1, Danielle S Bassett4.   

Abstract

Traditional approaches to understanding the brain's resilience to neuropathology have identified neurophysiological variables, often described as brain or cognitive "reserve," associated with better outcomes. However, mechanisms of function and resilience in large-scale brain networks remain poorly understood. Dynamic network theory may provide a basis for substantive advances in understanding functional resilience in the human brain. In this perspective, we describe recent theoretical approaches from network control theory as a framework for investigating network level mechanisms underlying cognitive function and the dynamics of neuroplasticity in the human brain. We describe the theoretical opportunities offered by the application of network control theory at the level of the human connectome to understand cognitive resilience and inform translational intervention.
Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Control theory; Graph theory; Network science; Neurology; Neuropsychology

Mesh:

Year:  2017        PMID: 28104411      PMCID: PMC5359115          DOI: 10.1016/j.neubiorev.2017.01.016

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  87 in total

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  30 in total

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