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Effects of cumulative illness severity on hippocampal gray matter volume in major depression: a voxel-based morphometry study

Published online by Cambridge University Press:  08 February 2018

Dario Zaremba
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Verena Enneking
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Susanne Meinert
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Katharina Förster
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Christian Bürger
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Katharina Dohm
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Dominik Grotegerd
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Ronny Redlich
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Bruno Dietsche
Affiliation:
Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
Axel Krug
Affiliation:
Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
Tilo Kircher
Affiliation:
Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany
Harald Kugel
Affiliation:
Department of Clinical Radiology, University of Muenster, Muenster, Germany
Walter Heindel
Affiliation:
Department of Clinical Radiology, University of Muenster, Muenster, Germany
Bernhard T Baune
Affiliation:
Discipline of Psychiatry, University of Adelaide, Adelaide, Australia
Volker Arolt
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
Udo Dannlowski*
Affiliation:
Department of Psychiatry and Psychotherapy, University of Muenster, Muenster, Germany
*
Author for correspondence: Udo Dannlowski, E-mail: dannlow@uni-muenster.de

Abstract

Background

Patients with major depression show reduced hippocampal volume compared to healthy controls. However, the contribution of patients’ cumulative illness severity to hippocampal volume has rarely been investigated. It was the aim of our study to find a composite score of cumulative illness severity that is associated with hippocampal volume in depression.

Methods

We estimated hippocampal gray matter volume using 3-tesla brain magnetic resonance imaging in 213 inpatients with acute major depression according to DSM-IV criteria (employing the SCID interview) and 213 healthy controls. Patients’ cumulative illness severity was ascertained by six clinical variables via structured clinical interviews. A principal component analysis was conducted to identify components reflecting cumulative illness severity. Regression analyses and a voxel-based morphometry approach were used to investigate the influence of patients’ individual component scores on hippocampal volume.

Results

Principal component analysis yielded two main components of cumulative illness severity: Hospitalization and Duration of Illness. While the component Hospitalization incorporated information from the intensity of inpatient treatment, the component Duration of Illness was based on the duration and frequency of illness episodes. We could demonstrate a significant inverse association of patients’ Hospitalization component scores with bilateral hippocampal gray matter volume. This relationship was not found for Duration of Illness component scores.

Conclusions

Variables associated with patients’ history of psychiatric hospitalization seem to be accurate predictors of hippocampal volume in major depression and reliable estimators of patients’ cumulative illness severity. Future studies should pay attention to these measures when investigating hippocampal volume changes in major depression.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2018 

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