Improved interpretability of brain-behaviour CCA with domain-driven dimension reduction
Canonical Correlation Analysis (CCA) has been widely applied to study correlations between neuroimaging data and behavioral data. Practical use of CCA typically requires dimensionality reduction with, for example, Principal Components Analysis (PCA), however, this can result in CCA results that are...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media
2022
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