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- Title
Clinical utility of a short resting-state MRI scan in differentiating bipolar from unipolar depression.
- Authors
Li, M.; Das, T.; Deng, W.; Wang, Q.; Li, Y.; Zhao, L.; Ma, X.; Wang, Y.; Yu, H.; Li, X.; Meng, Y.; Palaniyappan, L.; Li, T.
- Abstract
Objective Depression in bipolar disorder (BipD) requires a therapeutic approach that is from treating unipolar major depressive disorder (UniD), but to date, no reliable methods could separate these two disorders. The aim of this study was to establish the clinical validity and utility of a non-invasive functional MRI-based method to classify BipD from UniD. Method The degree of connectivity (degree centrality or DC) of every small unit (voxel) with every other unit of the brain was estimated in 22 patients with BipD and 22 age, gender, and depressive severity-matched patients with UniD and 22 healthy controls. Pattern classification analysis was carried out using a support-vector machine (SVM) approach. Results Degree centrality pattern from 8-min resting fMRI discriminated BipD from UniD with an accuracy of 86% and diagnostic odds ratio of 9.6. DC was reduced in the left insula and increased in bilateral precuneus in BipD when compared to UniD. In this sample with a high degree of uncertainty (50% prior probability), positive predictive value of the DC test was 79%. Conclusion Degree centrality maps are potential candidate measures to separate bipolar depression from unipolar depression. Test performance reported here requires further pragmatic evaluation in regular clinical practice.
- Subjects
BIPOLAR disorder; MENTAL depression; AFFECTIVE disorders; PATHOLOGICAL psychology; PATTERN recognition systems; FUNCTIONAL magnetic resonance imaging
- Publication
Acta Psychiatrica Scandinavica, 2017, Vol 136, Issue 3, p288
- ISSN
0001-690X
- Publication type
Article
- DOI
10.1111/acps.12752