Decoding Subject-Driven Cognitive States with Whole-Brain Connectivity Patterns
Cognitive Research (United States) · Stanford Medicine · +1 more institution
Abstract
Decoding specific cognitive states from brain activity constitutes a major goal of neuroscience. Previous studies of brain-state classification have focused largely on decoding brief, discrete events and have required the timing of these events to be known. To date, methods for decoding more continuous and purely subject-driven cognitive states have not been available. Here, we demonstrate that free-streaming subject-driven cognitive states can be decoded using a novel whole-brain functional connectivity analysis. Ninety functional regions of interest (ROIs) were defined across 14 large-scale resting-state brain networks to generate a 3960 cell matrix reflecting whole-brain connectivity. We trained a…
Citation impact
- FWCI
- 24.13
- Percentile
- 100%
- References
- 62
Authors
5Topics & keywords
- Decoding methods
- Cognition
- Computer science
- Classifier (UML)
- Neuroimaging
- Resting state fMRI
- Artificial intelligence
- Brain activity and meditation
- Quality Education