A network engineering perspective on probing and perturbing cognition with neurofeedback
Abstract
Network science and engineering provide a flexible and generalizable tool set to describe and manipulate complex systems characterized by heterogeneous interaction patterns among component parts. While classically applied to social systems, these tools have recently proven to be particularly useful in the study of the brain. In this review, we describe the nascent use of these tools to understand human cognition, and we discuss their utility in informing the meaningful and predictable perturbation of cognition in combination with the emerging capabilities of neurofeedback. To blend these disparate strands of research, we build on emerging conceptualizations of how the brain functions (as a complex network) and how we can develop and target interventions or modulations (as a form of network control). We close with an outline of current frontiers that bridge neurofeedback, connectomics, and network control theory to better understand human cognition.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Apr 26, 2017
- Source ID
- 10.1111/nyas.13338
Entities
People
- Ankit Khambhati
- Danielle Bassett
Organizations
- Alfred P. Sloan Foundation
- Army Research Office
- Eunice Kennedy Shriver National Institute of Child Health and Human Development
- John D. and Catherine T. MacArthur Foundation
- National Institute of Mental Health
- National Science Foundation
- Office of Naval Research
- United States Army Research Laboratory
- University of Pennsylvania