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Brain and Cognitive Reserve: Translation via Network Control Theory

arXiv 1604.04683 ↗First posted 16 Apr 2016q-bio.NC q-bio.QMcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). First posted on arXiv 16 Apr 2016.

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2 papers.