Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample. Issue 4 (July 2016)

• Record Type: Journal Article
• Authors: Sankar, Anjali; Zhang, Tianhao; Gaonkar, Bilwaj; Doshi, Jimit; Erus, Guray; Costafreda, Sergi G.; Marangell, Lauren; Davatzikos, Christos; Fu, Cynthia H.Y.
• Is Part Of: BJPsych open. Volume 2:Issue 4(2016)
• Page Start: 247
• Page End: 254
• Publication Date: 2016-07
• Subjects: Psychiatry -- Periodicals; Mental health -- Periodicals; 616.89005
• DOI: 10.1192/bjpo.bp.115.002493
• Languages: English
• ISSNs: 2056-4724

Abstract

Abstract : Background: At present, we do not have any biological tests which can contribute towards a diagnosis of depression. Neuroimaging measures have shown some potential as biomarkers for diagnosis. However, participants have generally been from the same ethnic background while the applicability of a biomarker would require replication in individuals of diverse ethnicities. Aims: We sought to examine the diagnostic potential of the structural neuroanatomy of depression in a sample of a wide ethnic diversity. Method: Structural magnetic resonance imaging (MRI) scans were obtained from 23 patients with major depressive disorder in an acute depressive episode (mean age: 39.8 years) and 20 matched healthy volunteers (mean age: 38.8 years). Participants were of Asian, African and Caucasian ethnicity recruited from the general community. Results: Structural neuroanatomy combining white and grey matter distinguished patients from controls at the highest accuracy of 81% with the most stable pattern being at around 70%. A widespread network encompassing frontal, parietal, occipital and cerebellar regions contributed towards diagnostic classification. Conclusions: These findings provide an important step in the development of potential neuroimaging-based tools for diagnosis as they demonstrate that the identification of depression is feasible within a multi-ethnic group from the community.