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A systematic review of diffusion tensor imaging studies in affective disorders.

Abstract:
White matter abnormalities constitute one element of the network dysfunction that underlies affective disorders: differences between the white matter of subjects with affective disorders and control subjects have been identified using a range of neuroimaging and histological techniques. Diffusion tensor imaging (DTI) can uniquely study the orientation and integrity of white matter tracts and is thus an ideal tool to shed light on white matter abnormalities in subjects with affective disorders. Here, we systematically review DTI studies of affective disorders. We identified DTI studies of affective disorders from EMBASE and MEDLINE and searched the reference lists of relevant papers. Twenty-seven articles comparing subjects with affective disorders with control subjects were included in the review, with eight studies included in a meta-analysis of superior frontal regions. Twenty-one of 27 studies found significantly lower anisotropy in subjects with affective disorders compared with control subjects, more specifically within the frontal and temporal lobes or tracts. A large effect size was detected within the superior frontal gyrus, although heterogeneity and one index of publication bias were significant. Although there is significant heterogeneity of acquisition and analysis methods and subject properties, DTI studies of affective disorders consistently identify reduced anisotropy in the frontal and temporal lobes and tracts of subjects with affective disorders relative to control subjects.
Publication status:
Published

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Publisher copy:
10.1016/j.biopsych.2009.05.024

Authors


More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MSD
Department:
Psychiatry
Role:
Author


Journal:
Biological psychiatry More from this journal
Volume:
66
Issue:
9
Pages:
814-823
Publication date:
2009-11-01
DOI:
EISSN:
1873-2402
ISSN:
0006-3223


Language:
English
Keywords:
Pubs id:
pubs:139234
UUID:
uuid:cc8f2308-babf-4de1-81d7-e2ede0439e18
Local pid:
pubs:139234
Source identifiers:
139234
Deposit date:
2012-12-19

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