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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 ,
Verena Enneking ,
Susanne Meinert ,
Katharina Förster ,
Christian Bürger ,
Katharina Dohm ,
Dominik Grotegerd ,
Ronny Redlich ,
Bruno Dietsche  and
Axel Krug
...Show all authors
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: [email protected]
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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.

Keywords

Illness severityhippocampusdepressionvoxel-based morphometryhospitalizationillness durationmagnetic resonance imaging
Type
Original Articles
Information
Psychological Medicine , Volume 48 , Issue 14 , October 2018 , pp. 2391 - 2398
Copyright
Copyright © Cambridge University Press 2018 

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References

Andrews, G, Aantsey, K, Brodaty, H, Issakidis, C and Luscombe, G (1999) Recall of depressive episode 25 years previously. Psychological Medicine 29, 787–791.Google Scholar
Arnone, D, McIntosh, AM, Ebmeier, KP, Munafò, MR and Anderson, IM (2012) Magnetic resonance imaging studies in unipolar depression: systematic review and meta-regression analyses. European Neuropsychopharmacology 22, 1–16.Google Scholar
Arnone, D, McKie, S, Elliott, R, Juhasz, G, Thomas, EJ, Downey, D et al. (2013) State-dependent changes in hippocampal grey matter in depression. Molecular Psychiatry 18, 1265–1272.Google Scholar
Axelson, DA, Doraiswamy, PM, McDonald, WM, Boyko, OB, Tupler, LA, Patterson, LJ et al. (1993) Hypercortisolemia and hippocampal changes in depression. Psychiatry Research 47, 163–173.Google Scholar
Beck, A, Steer, R and Brown, G (1987) Beck depression inventory manual. Archives of General Psychiatry 4, 561–571.Google Scholar
Bell-McGinty, S, Butters, MA, Meltzer, CC, Greer, PJ, Reynolds, CF and Becker, JT (2002) Brain morphometric abnormalities in geriatric depression: long-term neurobiological effects of illness duration. The American Journal of Psychiatry 159, 1424–1427.Google Scholar
Bora, E, Fornito, A, Pantelis, C and Yücel, M (2012) Gray matter abnormalities in major depressive disorder: a meta-analysis of voxel based morphometry studies. Journal of Affective Disorders 138, 9–18.Google Scholar
Bremner, JD, Narayan, M, Anderson, ER, Staib, LH, Miller, HL and Charney, DS (2000) Hippocampal volume reduction in major depression. American Journal of Psychiatry 157, 115–118.Google Scholar
Bremner, JD, Vythilingam, M, Vermetten, E, Nazeer, A, Adil, J, Khan, S et al. (2002) Reduced volume of orbitofrontal cortex in major depression. Biological Psychiatry 51, 273–279.Google Scholar
Campbell, S, Marriott, M, Nahmias, C and MacQueen, GM (2004) Lower hippocampal volume in patients suffering from depression: a meta-analysis. The American Journal of Psychiatry 161, 598–607.Google Scholar
Conrad, CD (2008) Chronic stress-induced hippocampal vulnerability: the glucocorticoid vulnerability hypothesis. NIH Public Access Reviews in the Neurosciences 19, 395–411.Google Scholar
Dannlowski, U, Kugel, H, Grotegerd, D, Redlich, R, Suchy, J, Opel, N et al. (2015) NCAN cross-disorder risk variant Is associated With limbic gray matter deficits in healthy subjects and major depression. Neuropsychopharmacology 40, 2510–2516.Google Scholar
Dannlowski, U, Stuhrmann, A, Beutelmann, V, Zwanzger, P, Lenzen, T, Grotegerd, D et al. (2012) Limbic scars: long-term consequences of childhood maltreatment revealed by functional and structural magnetic resonance imaging. Biological Psychiatry 71, 286–293.Google Scholar
Du, M-Y, Wu, Q-Z, Yue, Q, Li, J, Liao, Y, Kuang, W-H et al. (2012) Voxelwise meta-analysis of gray matter reduction in major depressive disorder. Progress in Neuro-Psychopharmacology and Biological Psychiatry 36, 11–16.Google Scholar
Frodl, T, Jäger, M, Smajstrlova, I, Born, C, Bottlender, R, Palladino, T et al. (2008) Effect of hippocampal and amygdala volumes on clinical outcomes in major depression: a 3-year prospective magnetic resonance imaging study. Journal of Psychiatry & Neuroscience 33, 423–430.Google Scholar
Frodl, T, Meisenzahl, EM, Zetzsche, T, Born, C, Groll, C, Jäger, M et al. (2002) Hippocampal changes in patients with a first episode of major depression. The American Journal of Psychiatry 159, 1112–1118.Google Scholar
Frodl, T, Schaub, A, Banac, S, Charypar, M, Jäger, M, Kümmler, P et al. (2006) Reduced hippocampal volume correlates with executive dysfunctioning in major depression. Journal of Psychiatry & Neuroscience 31, 316–323.Google Scholar
Gilbert, R, Widom, CS, Browne, K, Fergusson, D, Webb, E and Janson, S (2009) Burden and consequences of child maltreatment in high-income countries. Lancet 373, 68–81.Google Scholar
Hamilton, M (1960) A rating scale for depression. Journal of Neurology, Neurosurgery, and Psychiatry 23, 56–62.Google Scholar
Hickie, I, Naismith, S, Ward, PB, Turner, K, Scott, E, Mitchell, P et al. (2005) Reduced hippocampal volumes and memory loss in patients with early- and late-onset depression. The British Journal of Psychiatry 186, 197–202.Google Scholar
Hou, Z, Yuan, Y, Zhang, Z, Bai, F, Hou, G and You, J (2012) Longitudinal changes in hippocampal volumes and cognition in remitted geriatric depressive disorder. Behavioural Brain Research 227, 30–35.Google Scholar
Koolschijn, PC, van Haren, NE, Lensvelt-Mulders, GJ, Hulshoff Pol, HE and Kahn, RS (2009) Brain volume abnormalities in major depressive disorder: a meta-analysis of magnetic resonance imaging studies. Human Brain Mapping 30, 3719–3735.Google Scholar
Lange, C and Irle, E (2004) Enlarged amygdala volume and reduced hippocampal volume in young women with major depression. Psychological Medicine 34, 1059–1064.Google Scholar
Lloyd, AJ, Ferrier, IN, Barber, R, Gholkar, A, Young, AH and O'Brien, JT (2004) Hippocampal volume change in depression: late- and early-onset illness compared. The British Journal of Psychiatry 184, 488–495.Google Scholar
MacQueen, GM, Campbell, S, McEwen, BS, Macdonald, K, Amano, S, Joffe, RT et al. (2003) Course of illness, hippocampal function, and hippocampal volume in major depression. Proceedings of the National Academy of Sciences of the United States of America 100, 1387–1392.Google Scholar
Malberg, JE, Eisch, AJ, Nestler, EJ and Duman, RS (2000) Chronic antidepressant treatment increases neurogenesis in adult rat hippocampus. Journal of Neuroscience 20, 9104–9110.Google Scholar
Maldjian, JA, Laurienti, PJ, Kraft, RA and Burdette, JH (2003) An automated method for neuroanatomic and cytoarchitectonic atlas-based interrogation of fMRI data sets. NeuroImage 19, 1233–1239.Google Scholar
McKinnon, MC, Yucel, K, Nazarov, A and MacQueen, GM (2009) A meta-analysis examining clinical predictors of hippocampal volume in patients with major depressive disorder. Journal of Psychiatry & Neuroscience 34, 41–54.Google Scholar
Opel, N, Zwanzger, P, Redlich, R, Grotegerd, D, Dohm, K, Arolt, V et al. (2016) Differing brain structural correlates of familial and environmental risk for major depressive disorder revealed by a combined VBM/pattern recognition approach. Psychological Medicine 46, 277–290.Google Scholar
Patten, SB, Williams, J V, Lavorato, DH, Bulloch, AG, D'Arcy, C and Streiner, DL (2012) Recall of recent and more remote depressive episodes in a prospective cohort study. Social Psychiatry and Psychiatric Epidemiology 47, 691–696.Google Scholar
Phillips, JL, Batten, LA, Tremblay, P, Aldosary, F and Blier, P (2015) A prospective, longitudinal study of the effect of remission on cortical thickness and hippocampal volume in patients with treatment-resistant depression. The International Journal of Neuropsychopharmacology 18, 1–9.Google Scholar
Pittenger, C and Duman, RS (2008) Stress, depression, and neuroplasticity: a convergence of mechanisms. Neuropsychopharmacology 33, 88–109.Google Scholar
Posener, JA, Wang, L, Price, JL, Gado, MH, Province, MA, Miller, MI et al. (2003) High-dimensional mapping of the hippocampus in depression. The American Journal of Psychiatry 160, 83–89.Google Scholar
Post, RM, Roy-Byrne, P and Uhde, TW (1988) Graphic representation of the life course of illness in patients with affective disorder. The American Journal of Psychiatry 145, 844–848.Google Scholar
Redlich, R, Dohm, K, Grotegerd, D, Opel, N, Zwitserlood, P, Heindel, W et al. (2015a) Reward processing in unipolar and bipolar depression: a functional MRI study. Neuropsychopharmacology 40, 2623–2631.Google Scholar
Redlich, R, Grotegerd, D, Opel, N, Kaufmann, C, Zwitserlood, P, Kugel, H et al. (2015b) Are you gonna leave me? Separation anxiety is associated with increased amygdala responsiveness and volume. Social, Cognitive and Affective Neuroscience 10, 278–284.Google Scholar
Redlich, R, Opel, N, Grotegerd, D, Dohm, K, Zaremba, D, Bürger, C et al. (2016) Prediction of individual response to electroconvulsive therapy via machine learning on structural magnetic resonance imaging data. JAMA Psychiatry 73, 557–564.Google Scholar
Sapolsky, RM (2000) The possibility of neurotoxicity in the hippocampus in major depression: a primer on neuron death. Biological Psychiatry 48, 755–765.Google Scholar
Schmaal, L, Veltman, DJ, van Erp, TGM, Sämann, PG, Frodl, T, Jahanshad, N et al. (2016) Subcortical brain alterations in major depressive disorder: findings from the ENIGMA major depressive disorder working group. Nature Publishing Group Molecular Psychiatry 21, 806–812.Google Scholar
Sheline, YI, Gado, MH and Kraemer, HC (2003) Untreated depression and hippocampal volume loss. American Journal of Psychiatry 160, 1516–1518.Google Scholar
Sheline, YI, Sanghavi, M, Mintun, MA and Gado, MH (1999) Depression duration but not age predicts hippocampal volume loss in medically healthy women with recurrent major depression. The Journal of Neuroscience 19, 5034–5043.Google Scholar
Sheline, YI, Wang, PW, Gado, MH, Csernansky, JG and Vannier, MW (1996) Hippocampal atrophy in recurrent major depression. Proceedings of the National Academy of Sciences of the United States of America 93, 3908–3913.Google Scholar
Smith, ME (2005) Bilateral hippocampal volume reduction in adults with post-traumatic stress disorder: a meta-analysis of structural MRI studies. Hippocampus 15, 798–807.Google Scholar
Stratmann, M, Konrad, C, Kugel, H, Krug, A, Schöning, S, Ohrmann, P et al. (2014) Insular and hippocampal gray matter volume reductions in patients with major depressive disorder. PLoS ONE 9, e102692.Google Scholar
Stuart, EA (2010) Matching methods for causal inference: a review and a look forward. NIH Public Access Statistical Science 25, 1–21.Google Scholar
Surget, A, Saxe, M, Leman, S, Ibarguen-Vargas, Y, Chalon, S, Griebel, G et al. (2008) Drug-dependent requirement of hippocampal neurogenesis in a model of depression and of antidepressant reversal. Biological Psychiatry 64, 293–301.Google Scholar
Taylor, WD, Steffens, DC, Payne, ME, MacFall, JR, Marchuk, DA, Svenson, IK et al. (2005) Influence of serotonin transporter promoter region polymorphisms on hippocampal volumes in late-life depression. Archives of General Psychiatry 62, 537–544.Google Scholar
Thase, ME and Rush, AJ (1997) When at first you don't succeed: sequential strategies for antidepressant nonresponders. The Journal of Clinical Psychiatry 58, 23–29.Google Scholar
Tzourio-Mazoyer, N, Landeau, B, Papathanassiou, D, Crivello, F, Etard, O, Delcroix, N et al. (2002) Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. NeuroImage 15, 273–289.Google Scholar
Velicer, WF and Fava, JL (1998) Affects of variable and subject sampling on factor pattern recovery. Psychological Methods 3, 231–251.Google Scholar
Videbech, P and Ravnkilde, B (2004) Hippocampal volume and depression: a meta-analysis of MRI studies. American Journal of Psychiatry 161, 1957–1966.Google Scholar
Williams, JMG, Barnhofer, T, Crane, C, Herman, D, Raes, F, Watkins, E et al. (2007) Autobiographical memory specificity and emotional disorder. Psychological Bulletin 133, 122–148.Google Scholar
Wittchen, H-U, Burke, JD, Semler, G, Pfister, H, Cranach, M Von and Zaudig, M (1989) Recall and dating of psychiatric symptoms. American Medical Association Archives of General Psychiatry 46, 437.Google Scholar
Wittchen, H-U, Wunderlich, U, Gruschwitz, S and Zaudig, M (1997) SKID-I. Strukturiertes Klinisches Interview für DSM-IV. Goettingen: Hogrefe.Google Scholar
Zou, K, Deng, W, Li, T, Zhang, B, Jiang, L, Huang, C et al. (2010) Changes of brain morphometry in first-episode, drug-naïve, non-late-life adult patients with major depression: an optimized voxel-based morphometry study. Biological Psychiatry 67, 186–188.Google Scholar
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