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