Low-dimensional morphospace of topological motifs in human fMRI brain networks
We present a low-dimensional morphospace of fMRI brain networks, where axes are defined in a data-driven manner based on the network motifs. The morphospace allows us to identify the key variations in healthy fMRI networks in terms of their underlying motifs, and we observe that two principal compon...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2018-06-01
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| Series: | Network Neuroscience |
| Subjects: | |
| Online Access: | https://www.mitpressjournals.org/doi/pdf/10.1162/netn_a_00038 |