Origin of slow spontaneous resting-state neuronal fluctuations in brain networks

Abstract

Resting-state infra-slow brain activity fluctuations are observed across various cognitive and disease brain states. Although resting-state fluctuations have received a great deal of interest over the past few years, the underlying biophysical mechanisms are not known. Using computational modeling, we show that spontaneous resting-state fluctuations arise from dynamic ion concentrations and are influenced by the Na + /K + pump, glial K + buffering, and AMPA/GABA synaptic currents. These findings provide insights into the biophysical mechanisms underlying generation of this phenomenon and may lead to better understanding of how different cognitive or disease states influence resting-state activity.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 08, 2018
Source ID
10.1073/pnas.1715841115

Entities

People

  • Giri P Krishnan
  • Maxim Bazhenov
  • Oscar C González

Organizations

  • National Science Foundation
  • Office of Naval Research
  • University of California, San Diego

Tags

Fields of Study

  • Biology

Readers

  • Neural Network Machine Learning.
  • Psychological Intervention/Treatment for Stress, Anxiety, PTSD, and Related Emotional and Cognitive Health Symptoms.
  • Theoretical Analysis.

Technology Areas

  • Biotechnology