Using Dual Regression to Investigate Network Shape and Amplitude in Functional Connectivity Analyses
Independent Component Analysis (ICA) is one of the most popular techniques for the analysis of resting state FMRI data because it has several advantageous properties when compared with other techniques. Most notably, in contrast to a conventional seed-based correlation analysis, it is model-free and...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Frontiers Media
2017
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