Adolescent Major Depressive Disorder: Neuroimaging Evidence of Sex Difference during an Affective Go/No-Go Task

Chuang, Jie-Yu and Hagan, Cindy C. and Murray, Graham K. and Graham, Julia M.E. and Ooi, Cinly and Tait, Roger J. and Holt, Rosemary J. and Elliott, Rebecca and van Nieuwenhuizen, Adrienne O. and Bullmore, Edward T. and Lennox, Belinda R. and Sahakian, Barbara J. and Goodyear, Ian M. and Suckling, John (2017) Adolescent Major Depressive Disorder: Neuroimaging Evidence of Sex Difference during an Affective Go/No-Go Task. Frontiers in Psychiatry, 8. ISSN 1664-0640

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Abstract

Compared to female major depressive disorder (MDD), male MDD often receives less attention. However, research is warranted since there are significant sex differences in the clinical presentation of MDD and a higher rate of suicide in depressed men. To the best of our knowledge, this is the first functional magnetic resonance imaging (fMRI) study with a large sample addressing putative sex differences in MDD during adolescence, a period when one of the most robust findings in psychiatric epidemiology emerges; that females are twice as likely to suffer from MDD than males. Twenty-four depressed and 10 healthy male adolescents, together with 82 depressed and 24 healthy female adolescents, aged 11–18 years, undertook an affective go/no-go task during fMRI acquisition. In response to sad relative to neutral distractors, significant sex differences (in the supramarginal gyrus) and group-by-sex interactions (in the supramarginal gyrus and the posterior cingulate cortex) were found. Furthermore, in contrast to the healthy male adolescents, depressed male adolescents showed decreased activation in the cerebellum with a significant group-by-age interaction in connectivity. Future research may consider altered developmental trajectories and the possible implications of sex-specific treatment and prevention strategies for MDD.

Item Type: Article
Additional Information: This Document is Protected by copyright and was first published by Frontiers. All rights reserved. it is reproduced with permission
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology > Cloud Computing
UoA Collections > UoA11: Computer Science and Informatics
Depositing User: $ Ian McDonald
Date Deposited: 03 Nov 2017 09:24
Last Modified: 03 Nov 2017 09:24
URI: http://www.open-access.bcu.ac.uk/id/eprint/5264

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