Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-29T17:05:38.213Z Has data issue: false hasContentIssue false

Childhood maltreatment modifies the relationship of depression with hippocampal volume

Published online by Cambridge University Press:  24 July 2015

L. Gerritsen*
Affiliation:
Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands Department of Medical Epidemiology and Biostatistics, Karolinska Institute, Stockholm, Sweden
L. van Velzen
Affiliation:
Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
L. Schmaal
Affiliation:
Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
Y. van der Graaf
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
N. van der Wee
Affiliation:
Department of Psychiatry, Leiden University Medical Center, The Netherlands
M.-J. van Tol
Affiliation:
Department of Psychiatry, University Medical Center Groningen, The Netherlands
B. Penninx
Affiliation:
Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
M. Geerlings
Affiliation:
Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, The Netherlands
*
*Address for correspondence: Dr L. Gerritsen, Department of Psychiatry and Neuroscience Campus Amsterdam, VU University Medical Center, Amsterdam, the Netherlands. (Email: [email protected])

Abstract

Background.

Childhood maltreatment (CM) may modify the relationship between major depressive disorder (MDD) and hippocampal volume reduction. To disentangle the impact of MDD and CM on hippocampal volume we investigated the association between MDD and hippocampal volume in persons with and without a history of CM in two independent cohorts.

Method.

We used data of 262 participants from the Netherlands Study of Depression and Anxiety (NESDA) (mean age 37 years, 32% male) and 636 participants from the SMART-Medea study (mean age 61 years, 81% male). In both studies a 12-month diagnosis of MDD and CM were assessed using a diagnostic interview. Hippocampal volume was measured in NESDA using FreeSurfer software on 3-T magnetic resonance (MR) images and in SMART it was manually outlined on 1.5-T MR images. With analysis of covariance adjusted for intracranial volume, age, gender and lifestyle factors we estimated the effects of MDD and CM on hippocampal volume.

Results.

In both cohorts CM was not significantly associated with hippocampal volume. After pooling the data MDD was associated with smaller hippocampal volume (B = −138.90 mm3, p = 0.05) and the interaction between MDD and CM reached significance (p = 0.04); in participants with CM, MDD was related to smaller hippocampal volume (NESDA: B = −316.8 mm3, p = 0.02; SMART: B = −407.6, p = 0.046), but not in participants without CM (p > 0.05).

Conclusions.

Our study shows that in two independent cohorts, particularly in individuals with CM, a diagnosis of MDD is related to smaller hippocampal volume. Prospective studies are needed to further determine through which mechanism CM may amplify the relationship between MDD and hippocampal volume.

Type
Original Articles
Copyright
Copyright © Cambridge University Press 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Altman, DG, Bland, JM (2003). Interaction revisited: the difference between two estimates. British Medical Journal 326, 219.CrossRefGoogle ScholarPubMed
Amico, F, Meisenzahl, E, Koutsouleris, N, Reiser, M, Moller, HJ, Frodl, T (2011). Structural MRI correlates for vulnerability and resilience to major depressive disorder. Journal of Psychiatry and Neuroscience 36, 1522.Google Scholar
Anbeek, P, Vincken, KL, van Bochove, GS, van Osch, MJ, van der Grond, J (2005). Probabilistic segmentation of brain tissue in MR imaging. Neuroimage 27, 795804.Google Scholar
Andersen, SL, Teicher, MH (2008). Stress, sensitive periods and maturational events in adolescent depression. Trends in Neurosciences 31, 183191.Google Scholar
Ballmaier, M, Narr, KL, Toga, AW, Elderkin-Thompson, V, Thompson, PM, Hamilton, L, Haroon, E, Pham, D, Heinz, A, Kumar, A (2008). Hippocampal morphology and distinguishing late-onset from early-onset elderly depression. American Journal of Psychiatry 165, 229237.Google Scholar
Buckner, RL, Head, D, Parker, J, Fotenos, AF, Marcus, D, Morris, JC, Snyder, AZ (2004). A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. Neuroimage 23, 724738.CrossRefGoogle ScholarPubMed
Chaney, A, Carballedo, A, Amico, F, Fagan, A, Skokauskas, N, Meaney, J, Frodl, T (2014). Effect of childhood maltreatment on brain structure in adult patients with major depressive disorder and healthy participants. Journal of Psychiatry and Neuroscience 39, 5059.CrossRefGoogle ScholarPubMed
Donders, AR, van der Heijden, GJ, Stijnen, T, Moons, KG (2006). Review: a gentle introduction to imputation of missing values. Journal of Clinical Epidemiology 59, 10871091.Google Scholar
Fischl, B, Salat, DH, Busa, E, Albert, M, Dieterich, M, Haselgrove, C, van der Kouwe, A, Killiany, R, Kennedy, D, Klaveness, S, Montillo, A, Makris, N, Rosen, B, Dale, AM (2002). Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron 33, 341355.Google Scholar
Folstein, MF, Folstein, SE, McHugh, PR (1975). ‘Mini-Mental-State’ A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research 12, 189198.Google Scholar
Frodl, T, O'Keane, V (2013). How does the brain deal with cumulative stress? A review with focus on developmental stress, HPA axis function and hippocampal structure in humans. Neurobiology of Disease 52, 2437.Google Scholar
Frodl, T, Reinhold, E, Koutsouleris, N, Reiser, M, Meisenzahl, EM (2010). Interaction of childhood stress with hippocampus and prefrontal cortex volume reduction in major depression. Journal of Psychiatric Research 44, 799807.Google Scholar
Frodl, TS, Koutsouleris, N, Bottlender, R, Born, C, Jager, M, Scupin, I, Reiser, M, Moller, HJ, Meisenzahl, EM (2008). Depression-related variation in brain morphology over 3 years: effects of stress? Archives of General Psychiatry 65, 11561165.Google Scholar
Geerlings, MI, Appelman, AP, Vincken, KL, Mali, WP, van der, GY (2009). Association of white matter lesions and lacunar infarcts with executive functioning: the SMART-MR study. American Journal of Epidemiology 170, 11471155.Google Scholar
Gerritsen, L, Comijs, HC, van der Graaf, Y, Knoops, AJ, Penninx, BW, Geerlings, MI (2011). Depression, hypothalamic pituitary adrenal axis, and hippocampal and entorhinal cortex volumes--the SMART Medea study. Biological Psychiatry 70, 373380.Google Scholar
Hedges, LV, Olkin, I (1985). Statistical Methods for Meta-Analysis. Academic Press: Orlando, FL.Google Scholar
Janssen, J, Hulshoff Pol, HE, de Leeuw, FE, Schnack, HS, Lampe, IK, Kok, RM, Kahn, RS, Heeren, TJ (2007). Hippocampal volume and subcortical white matter lesions in late-life depression: comparison of early- and late-onset depression. Journal of Neurology, Neurosurgery and Psychiatry 78, 638640.Google Scholar
Joels, M (2008). Functional actions of corticosteroids in the hippocampus. European Journal of Pharmacology 583, 312321.Google Scholar
Kempton, MJ, Salvador, Z, Munafo, MR, Geddes, JR, Simmons, A, Frangou, S, Williams, SC (2011). Structural neuroimaging studies in major depressive disorder. Meta-analysis and comparison with bipolar disorder. Archives of General Psychiatry 68, 675690.Google Scholar
Kessler, RC, Davis, CG, Kendler, KS (1997). Childhood adversity and adult psychiatric disorder in the US National Comorbidity Survey. Psychological Medicine 27, 11011119.Google Scholar
Knoops, AJ, Gerritsen, L, van der Graaf, Y, Mali, WP, Geerlings, MI (2010). Basal hypothalamic pituitary adrenal axis activity and hippocampal volumes. The SMART-MR study. Biological Psychiatry 67, 11911198.Google Scholar
Lupien, SJ, McEwen, BS, Gunnar, MR, Heim, C (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nature Reviews Neuroscience 10, 434445.Google Scholar
Macqueen, G, Frodl, T (2010). The hippocampus in major depression: evidence for the convergence of the bench and bedside in psychiatric research? Molecular Psychiatry 16, 252264.Google Scholar
McEwen, BS (2001). Plasticity of the hippocampus: adaptation to chronic stress and allostatic load. Annals of the New York Academy of Sciences 933, 265277.Google Scholar
McEwen, BS (2008). Understanding the potency of stressful early life experiences on brain and body function. Metabolism 57(Suppl 2), S11S15.Google Scholar
McEwen, BS, Gianaros, PJ (2010). Central role of the brain in stress and adaptation: links to socioeconomic status, health, and disease. Annals of the New York Academy of Sciences 1186, 190222.CrossRefGoogle ScholarPubMed
McEwen, BS, Magarinos, AM (1997). Stress effects on morphology and function of the hippocampus. Annals of the New York Academy of Sciences 821, 271284.Google Scholar
Nanni, V, Uher, R, Danese, A (2012). Childhood maltreatment predicts unfavorable course of illness and treatment outcome in depression: a meta-analysis. American Journal of Psychiatry 169, 141151.Google Scholar
Penninx, BW, Beekman, AT, Smit, JH, Zitman, FG, Nolen, WA, Spinhoven, P, Cuijpers, P, De Jong, PJ, Van Marwijk, HW, Assendelft, WJ, Van Der Meer, K, Verhaak, P, Wensing, M, de Graaf, R, Hoogendijk, WJ, Ormel, J, Van Dyck, R (2008). The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods. International Journal of Methods in Psychiatry Research 17, 121140.Google Scholar
Price, JL, Drevets, WC (2012). Neural circuits underlying the pathophysiology of mood disorders. Trends in Cognitive Sciences 16, 6171.Google Scholar
Rao, U, Chen, LA, Bidesi, AS, Shad, MU, Thomas, MA, Hammen, CL (2010). Hippocampal changes associated with early-life adversity and vulnerability to depression. Biological Psychiatry 67, 357364.Google Scholar
Raz, N, Rodrigue, KM, Kennedy, KM, Acker, JD (2007). Vascular health and longitudinal changes in brain and cognition in middle-aged and older adults. Neuropsychology 21, 149157.Google Scholar
Robins, LN, Wing, J, Wittchen, HU, Helzer, JE, Babor, TF, Burke, J, Farmer, A, Jablenski, A, Pickens, R, Regier, DA (1988). The Composite International Diagnostic Interview. An epidemiologic Instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Archives of General Psychiatry 45, 10691077.Google Scholar
Sapolsky, RM, Krey, LC, McEwen, BS (1986). The neuroendocrinology of stress and aging: the glucocorticoid cascade hypothesis. Endocrinology Review 7, 284301.Google Scholar
Spijker, J, de, GR, Bijl, RV, Beekman, AT, Ormel, J, Nolen, WA (2002). Duration of major depressive episodes in the general population: results from The Netherlands Mental Health Survey and Incidence Study (NEMESIS). British Journal of Psychiatry 181, 208213.Google Scholar
Spinhoven, P, Penninx, BW, Hickendorff, M, van Hemert, AM, Bernstein, DP, Elzinga, BM (2014). Childhood trauma questionnaire: factor structure, measurement invariance, and validity across emotional disorders. Psychological Assessment. 26, 717729.Google Scholar
Squire, LR, Zola-Morgan, S (1991). The medial temporal lobe memory system. Science 253, 13801386.Google Scholar
Vythilingam, M, Heim, C, Newport, J, Miller, AH, Anderson, E, Bronen, R, Brummer, M, Staib, L, Vermetten, E, Charney, DS, Nemeroff, CB, Bremner, JD (2002). Childhood trauma associated with smaller hippocampal volume in women with major depression. American Journal of Psychiatry 159, 20722080.Google Scholar
Supplementary material: File

Gerritsen supplementary material

Tables S1-S2

Download Gerritsen supplementary material(File)
File 19.3 KB