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A network engineering perspective on probing and perturbing cognition with neurofeedback
Danielle S Bassett1,2, Ankit N Khambhati1
1Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania.
Annals of the New York Academy of Sciences
|April 27, 2017
Summary
Network science offers powerful tools for understanding the brain
Area of Science:
- Neuroscience
- Network Science
- Cognitive Science
Background:
- Network science, traditionally used for social systems, is increasingly applied to brain research.
- Complex brain systems exhibit heterogeneous interaction patterns.
- Understanding these network properties is key to deciphering human cognition.
Purpose of the Study:
- To review the emerging application of network science in understanding human cognition.
- To discuss the integration of network control theory with neurofeedback for cognitive modulation.
- To explore frontiers bridging connectomics, network control, and neurofeedback.
Main Methods:
- Review of current literature on network science applications in neuroscience.
- Conceptual framework integrating network control theory with neurofeedback.
- Analysis of connectomics data within a network framework.
Main Results:
- Network science provides a flexible framework for analyzing complex brain interactions.
- Neurofeedback combined with network control principles shows potential for targeted cognitive perturbation.
- Emerging research highlights the synergy between connectomics and network theory for cognitive insights.
Conclusions:
- Network science is a valuable tool for understanding the neural basis of cognition.
- Integrating neurofeedback with network control theory offers novel avenues for cognitive intervention.
- Future research should focus on the intersection of connectomics, network control, and neurofeedback.
