Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample

Article


Sankar, Anjali, Zhang, Tianhao, Gaonkar, Bilwaj, Doshi, Jimit, Erus, Guray, Costafreda, Sergi G., Marangell, Lauren, Davatzikos, Christos and Fu, C. 2016. Diagnostic potential of structural neuroimaging for depression from a multi-ethnic community sample. BJPsych Open. 2 (4), pp. 247-254.
AuthorsSankar, Anjali, Zhang, Tianhao, Gaonkar, Bilwaj, Doshi, Jimit, Erus, Guray, Costafreda, Sergi G., Marangell, Lauren, Davatzikos, Christos and Fu, C.
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.
Declaration of interests
C.H.Y.F. has held recent research grants from Eli Lilly and
Company and GlaxoSmithKline. L.M. is a former employee and
stockholder of Eli Lilly and Company.

JournalBJPsych Open
Journal citation2 (4), pp. 247-254
ISSN2056-4724
Year2016
PublisherRoyal College of Psychiatrists
Publisher's version
License
CC BY-NC-ND
Digital Object Identifier (DOI)doi:10.1192/bjpo.bp.115.002493
Publication dates
Print01 Jul 2016
Publication process dates
Deposited06 Jul 2016
Accepted16 May 2016
Copyright information© The Royal College of Psychiatrists 2016. This is an open access article distributed under the terms of the Creative Commons Non-Commercial, No Derivatives (CC BY-NC-ND) licence.
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