Nonlinear manifold learning in functional magnetic resonance imaging uncovers a low-dimensional space of brain dynamics
Large-scale brain dynamics are believed to lie in a latent, low-dimensional space. Typically, the embeddings of brain scans are derived independently from different cognitive tasks or resting-state data, ignoring a potentially large—and shared—portion of this space. Here, we establish that a shared,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
John Wiley and Sons Inc
2021
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |