Probabilistic clustering of the human connectome identifies communities and hubs.
A fundamental assumption in neuroscience is that brain function is constrained by its structural properties. This motivates the idea that the brain can be parcellated into functionally coherent regions based on anatomical connectivity patterns that capture how different areas are interconnected. Sev...
Main Authors: | Max Hinne, Matthias Ekman, Ronald J Janssen, Tom Heskes, Marcel A J van Gerven |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2015-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC4311978?pdf=render |
Similar Items
-
The missing link: Predicting connectomes from noisy and partially observed tract tracing data.
by: Max Hinne, et al.
Published: (2017-01-01) -
Correction: The missing link: Predicting connectomes from noisy and partially observed tract tracing data.
by: Max Hinne, et al.
Published: (2017-04-01) -
Emerging hubs in phantom perception connectomics
by: Anusha Mohan, et al.
Published: (2016-01-01) -
Bayesian model averaging for nonparametric discontinuity design.
by: Max Hinne, et al.
Published: (2022-01-01) -
Connectome and regulatory hubs of CAGE highly active enhancers
by: Mewen Briend, et al.
Published: (2023-04-01)