Brain and cognitive reserve: Translation via network control theory
John Dominic Medaglia1, Fabio Pasqualetti2, Roy H Hamilton3
1Department of Psychology, University of Pennsylvania, Philadelphia, PA 19104, United States.
Neuroscience and Biobehavioral Reviews
|January 21, 2017
Summary
Network control theory offers new insights into brain resilience and cognitive function. This approach helps understand how the brain adapts to challenges, paving the way for better interventions.
Area of Science:
- Neuroscience
- Network Science
- Cognitive Science
Background:
- Traditional research on brain resilience focused on neurophysiological variables like cognitive reserve.
- Mechanisms of large-scale brain network resilience and function remain unclear.
Purpose of the Study:
- To explore network control theory as a framework for understanding brain resilience.
- To investigate network-level mechanisms of cognitive function and neuroplasticity.
Main Methods:
- Applying network control theory to the human connectome.
- Analyzing dynamic network properties related to resilience.
Main Results:
- Network control theory provides a novel framework for studying brain resilience.
- This approach can elucidate network dynamics underlying cognitive function and neuroplasticity.
Conclusions:
- Network control theory offers significant potential for advancing our understanding of cognitive resilience.
- This framework can inform the development of translational interventions for brain health.
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