Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks

Using Low-Dimensional Manifolds to Map Relationships Between Dynamic Brain Networks

As the field of dynamic brain networks continues to expand, new methods are needed to allow for optimal handling and understanding of this explosion in data. We propose here a novel approach that embeds dynamic brain networks onto a two-dimensional (2D) manifold based on similarities and differences...

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Bibliographic Details
Main Authors: Mohsen Bahrami, Robert G. Lyday, Ramon Casanova, Jonathan H. Burdette, Sean L. Simpson, Paul J. Laurienti
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-12-01
Series:Frontiers in Human Neuroscience
Subjects:
dynamic brain networks
fMRI
connectivity pattern
PCA
t-SNE
embedding
Online Access:https://www.frontiersin.org/article/10.3389/fnhum.2019.00430/full

Internet

https://www.frontiersin.org/article/10.3389/fnhum.2019.00430/full

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