Brain network eigenmodes provide a robust and compact representation of the structural connectome in health and disease.
Recent research has demonstrated the use of the structural connectome as a powerful tool to characterize the network architecture of the brain and potentially generate biomarkers for neurologic and psychiatric disorders. In particular, the anatomic embedding of the edges of the cerebral graph have b...
Saved in:
| Main Authors: | Maxwell B Wang, Julia P Owen, Pratik Mukherjee, Ashish Raj |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2017-06-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1005550&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Empirical estimation of the eigenmodes of macroscale cortical dynamics: Reconciling neural field eigenmodes and resting-state networks
by: James A. Henderson, et al.
Published: (2022-09-01) -
Brain local structural connectomes and the subtypes of the medial temporal lobe parcellations
by: Zhensheng Li, et al.
Published: (2025-02-01) -
Comparison of structural connectomes for modeling deep brain stimulation pathway activation
by: Ketan Mehta, et al.
Published: (2025-05-01) -
The Connectome Visualization Utility: software for visualization of human brain networks.
by: Roan A LaPlante, et al.
Published: (2014-01-01) -
Normalizing the brain connectome for communication through synchronization
by: Spase Petkoski, et al.
Published: (2022-07-01)