Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations
Dartmouth College · Washington University in St. Louis
Abstract
The cortical surface is organized into a large number of cortical areas; however, these areas have not been comprehensively mapped in the human. Abrupt transitions in resting-state functional connectivity (RSFC) patterns can noninvasively identify locations of putative borders between cortical areas (RSFC-boundary mapping; Cohen et al. 2008). Here we describe a technique for using RSFC-boundary maps to define parcels that represent putative cortical areas. These parcels had highly homogenous RSFC patterns, indicating that they contained one unique RSFC signal; furthermore, the parcels were much more homogenous than a null model matched for parcel size when tested in two separate datasets. Several alternative…
Citation impact
- FWCI
- 30.47
- Percentile
- 100%
- References
- 83
Authors
6Topics & keywords
- Functional connectivity
- Boundary (topology)
- Cartography
- Brain mapping
- Computer science
- Pattern recognition (psychology)
- Neuroscience
- Artificial intelligence
- Sustainable cities and communities