Brain and cognitive reserve: Translation via network control theory

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

卷:75

Article

Medaglia, John Dominic¹  Pasqualetti, Fabio²  Hamilton, Roy H.³  Thompson-Schill, Sharon L.¹  Bassett, Danielle S.^4,5 

[1] Univ Penn, Dept Psychol, 3815 Walnut St, Philadelphia, PA 19104 USA

[2] Univ Calif Riverside, Dept Mech Engn, Riverside, CA 92521 USA

[3] Univ Penn, Dept Neurol, Perelman Sch Med, Philadelphia, PA 19104 USA

[4] Univ Penn, Dept Bioengn, Philadelphia, PA 19104 USA

[5] Univ Penn, Dept Elect & Syst Engn, Philadelphia, PA 19104 USA

关键词: Network science;    Neuropsychology;    Graph theory;    Control theory;    Neurology;   

DOI  :  10.1016/j.neubiorev.2017.01.016

来源: Elsevier

【 摘 要 】

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/).

【 授权许可】

Free