Abstract
Brain states are a ubiquitous topic of research in neuroscience, but differences in the scale of measurement and physiological or behavioral state of the subject have resulted in different definitions across subfields. In this article, we offer a definition of “brain state” as a quantifiable pattern of brain activity. We subsequently review the considerations of various measurement scales and outline steps for quantifying brain state dynamics through a network graph-theoretic approach. Additionally, we cover data-driven approaches for identifying recurrent brain states through time. Finally, we review methods that have been employed to examine important features of brain states that may be relevant for physiological function and cognitive behavior.
| Original language | English |
|---|---|
| Title of host publication | Encyclopedia of the Human Brain, Second Edition |
| Subtitle of host publication | Volumes 1-5 |
| Publisher | Elsevier |
| Pages | V5-160-V5-170 |
| ISBN (Electronic) | 9780128204818 |
| ISBN (Print) | 9780128204801 |
| DOIs | |
| State | Published - Jan 1 2024 |
Keywords
- Brain activity
- Brain state
- Clustering
- Cognitive state
- Dynamic functional connectivity
- Dynamic sensitivity analysis
- Microstate
- Multivariate pattern analysis
- Network analysis
- Neuroimaging
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