Brain and cognitive reserve: Translation via network control theory

作者：Medaglia John Dominic; Pasqualetti Fabio; Hamilton Roy H; Thompson Schill Sharon L; Bassett Danielle S^*

来源：Neuroscience and Biobehavioral Reviews, 2017, 75: 53-64.

DOI：10.1016/j.neubiorev.2017.01.016

• Network science
• Neuropsychology
• Graph theory
• Control theory
• Neurology

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.

• 出版日期2017-4