Accuracy of automated classification of major depressive disorder as a function of symptom severity
•SVM binary classifiers achieved significant classification of very severe depression with resting state fMRI data.•Prefrontal, anterior cingulate and insula were the most discriminative brain regions.•No significant classification could be achieved for less severe MDD with resting state data.•With...
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Online |
| Language: | English |
| Published: |
Elsevier
2016
|
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4983635/ |