Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression
Domschke, Katharina, Costafreda, Sergi G., Chu, Carlton, Ashburner, John and Fu, C. 2009. Prognostic and Diagnostic Potential of the Structural Neuroanatomy of Depression. PLoS ONE. 4 (7), p. e6353.
|Authors||Domschke, Katharina, Costafreda, Sergi G., Chu, Carlton, Ashburner, John and Fu, C.|
Depression is experienced as a persistent low mood or anhedonia accompanied by behavioural and cognitive disturbances which impair day to day functioning. However, the diagnosis is largely based on self-reported symptoms, and there are no neurobiological markers to guide the choice of treatment. In the present study, we examined the prognostic and diagnostic potential of the structural neural correlates of depression.
Subjects were 37 patients with major depressive disorder (mean age 43.2 years), medication-free, in an acute depressive episode, and 37 healthy individuals. Following the MRI scan, 30 patients underwent treatment with the antidepressant medication fluoxetine or cognitive behavioural therapy (CBT). Of the patients who subsequently achieved clinical remission with antidepressant medication, the whole brain structural neuroanatomy predicted 88.9% of the clinical response, prior to the initiation of treatment (88.9% patients in clinical remission (sensitivity) and 88.9% patients with residual symptoms (specificity), p = 0.01). Accuracy of the structural neuroanatomy as a diagnostic marker though was 67.6% (64.9% patients (sensitivity) and 70.3% healthy individuals (specificity), p = 0.027).
The structural neuroanatomy of depression shows high predictive potential for clinical response to antidepressant medication, while its diagnostic potential is more limited. The present findings provide initial steps towards the development of neurobiological prognostic markers for depression.
|Journal citation||4 (7), p. e6353|
|Publisher||Public Library of Science|
|Web address (URL)||http://dx.doi.org/10.1371/journal.pone.0006353|
|27 Jul 2009|
|Publication process dates|
|Deposited||05 Aug 2014|
|Copyright information||© 2009 Costafreda et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.|
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