4.7 Article

Brain and cognitive reserve: Translation via network control theory

期刊

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
卷 75, 期 -, 页码 53-64

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neubiorev.2017.01.016

关键词

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

资金

  1. Office of the Director at the National Institutes of Health [1-DP5-OD-021352-01]
  2. John D. and Catherine T. MacArthur Foundation
  3. Alfred P. Sloan Foundation
  4. Army Research Laboratory
  5. Army Research Office [W911NF-10-2-0022, W911NF-14-1-0679]
  6. National Institute of Mental Health [2-R01-DC-009209-11]
  7. National Institute of Child 415 Health and Human Development [1R01HD086888-01]
  8. Office of Naval Research
  9. National Science Foundation [BCS-1441502, BCS-1430087, CAREER PHY-1554488]

向作者/读者索取更多资源

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. (C) 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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