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Smaller gray matter volume of hippocampus/parahippocampus in elderly people with subthreshold depression: a cross-sectional study

Overview of attention for article published in BMC Psychiatry, July 2016
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Title
Smaller gray matter volume of hippocampus/parahippocampus in elderly people with subthreshold depression: a cross-sectional study
Published in
BMC Psychiatry, July 2016
DOI 10.1186/s12888-016-0928-0
Pubmed ID
Authors

Huixia Zhou, Rui Li, Zhenling Ma, Sonja Rossi, Xinyi Zhu, Juan Li

Abstract

Hippocampal/parahippocampal structural changes accompany major depressive disorders in the elderly, but whether subthreshold depression (StD) at an advanced age is also accompanied by similar changes in hippocampal/parahippocampal volumes is still unknown. By using voxel-based morphometry (VBM) analysis of the gray matter, we explored whether there are structural alterations of the hippocampus/parahippocampus and the correlations between its volume and participants' self-reported depressive symptoms. Participants were 19 community-dwelling older adults with StD assessed by the Center for Epidemiologic Studies Depression scale (CES-D) scores. We collected magnetic resonance images of their brain compared to images of 17 healthy aged-matched adults. We used VBM to analyze differences in gray matter volume (GMV) of the hippocampus/parahippocampus between the two groups. Moreover, we examined the correlation between the GMV of the hippocampus/parahippocampus and participants' self-reported depressive symptoms. VBM revealed that elderly individuals with StD had substantially reduced volumes of the right parahippocampus compared to healthy controls. Furthermore, the volumes of the hippocampus/parahippocampus were significantly associated with participants' self-reported depressive symptoms in StD. Gray matter volume alterations in the hippocampus/parahippocampus are correlated with subthreshold depression suggesting that early structural changes in the hippocampus/parahippocampus can constitute a risk indicator of depression.

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The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 14%
Researcher 11 13%
Student > Master 10 12%
Student > Bachelor 10 12%
Student > Postgraduate 6 7%
Other 14 17%
Unknown 21 25%
Readers by discipline Count As %
Psychology 19 23%
Medicine and Dentistry 11 13%
Neuroscience 8 10%
Nursing and Health Professions 7 8%
Sports and Recreations 2 2%
Other 10 12%
Unknown 27 32%