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9 - Structural imaging of major depression

from Section II - Mood Disorders

Published online by Cambridge University Press:  10 January 2011

Anand Kumar
Affiliation:
Department of Psychiatry University of Illinois at Chicago Chicago, IL, USA
Olusola Ajilore
Affiliation:
Department of Psychiatry University of Illinois at Chicago Chicago, IL, USA
Martha E. Shenton
Affiliation:
VA Boston Healthcare System and Brigham and Women's Hospital, Harvard Medical School
Bruce I. Turetsky
Affiliation:
University of Pennsylvania
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Summary

Introduction

An important step in our understanding of the pathophysiology of mood disorders has been made with the advent of neuroimaging. Studies exploring structural changes in the brain associated with unipolar major depression have identified key regions that may underlie the pathogenesis, course, and prognosis of major depression. This chapter will review structural imaging findings in major depression focusing on MRI methodologies such as volumetric analysis, shape analysis, magnetization transfer, and diffusion tensor imaging. We will first examine morphological changes associated with major depression. Then we will discuss white matter changes such as signal hyperintensities and microstructural alterations identified by novel MR-based techniques. We will also explore the pathological and cognitive correlates, as well as the clinical significance of these structural findings.

Cerebral cortex

Initial studies showing neuroanatomical changes associated with major depression explored global cortical alterations, typically characterized by evidence of volume loss. An early qualitative study demonstrating cortical changes showed greater cerebral sulcal and temporal sulcal atrophy in addition to larger ventricles (Rabins et al., 1991). Global gray matter volume losses have been associated with major depression and correlated with clinical variables, such as illness duration (Lampe et al.., 2003).

Type
Chapter
Information
Understanding Neuropsychiatric Disorders
Insights from Neuroimaging
, pp. 139 - 150
Publisher: Cambridge University Press
Print publication year: 2010

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References

Agid, R, Levin, T, Gomori, J M, Lerer, B and Bonne, O. 2003. T2-weighted image hyperintensities in major depression: Focus on the basal ganglia. Int J Neuropsychopharmacol 6, 215–24.Google Scholar
Alexopoulos, G S, Kiosses, D N, Choi, S J, Murphy, C F and Lim, K O. 2002. Frontal white matter microstructure and treatment response of late-life depression: A preliminary study. Am J Psychiatry 159, 1929–32.Google Scholar
Alexopoulos, G S, Murphy, C F, Gunning-Dixon, F M, et al. 2008. Microstructural white matter abnormalities and remission of geriatric depression. Am J Psychiatry 165, 238–44.Google Scholar
Andreescu, C, Butters, M A, Begley, A, et al. 2008. Gray matter changes in late life depression – A structural MRI analysis. Neuropsychopharmacology 33, 2566–72.Google Scholar
Bae, J N, MacFall, J R, Krishnan, K R, Payne, M E, Steffens, D C and Taylor, W D. 2006. Dorsolateral prefrontal cortex and anterior cingulate cortex white matter alterations in late-life depression. Biol Psychiatry 60, 1356–63.Google Scholar
Ballmaier, M, Narr, K L, Toga, A W, et al. 2007. Hippocampal morphology and distinguishing late-onset from early-onset elderly depression. Am J Psychiatry 165, 229–37.Google Scholar
Ballmaier, M, Sowell, E R, Thompson, P M, et al. 2004a. Mapping brain size and cortical gray matter changes in elderly depression. Biol Psychiatry 55, 382–9.Google Scholar
Ballmaier, M, Toga, A W, Blanton, R E, et al. 2004b. Anterior cingulate, gyrus rectus, and orbitofrontal abnormalities in elderly depressed patients: An MRI-based parcellation of the prefrontal cortex. Am J Psychiatry 161, 99–108.Google Scholar
Barbosa, S, Blumhardt, L D, Roberts, N, Lock, T and Edwards, R H. 1994. Magnetic resonance relaxation time mapping in multiple sclerosis: Normal appearing white matter and the “invisible” lesion load. Magn Reson Imaging 12, 33–42.Google Scholar
Bjartmar, C, Yin, X and Trapp, B D. 1999. Axonal pathology in myelin disorders. J Neurocytol 28, 383–95.Google Scholar
Butters, M A, Aizenstein, H J, Hayashi, K M, et al. 2008. Three-dimensional surface mapping of the caudate nucleus in late-life depression. Am J Geriatr Psychiatry 17, 4–12.Google Scholar
Coffey, C E, Figiel, G S, Djang, W T, Cress, M, Saunders, W B and Weiner, R D. 1988. Leukoencephalopathy in elderly depressed patients referred for ECT. Biol Psychiatry 24, 143–61.Google Scholar
Coffey, C E, Figiel, G S, Djang, W T and Weiner, R D. 1990. Subcortical hyperintensity on magnetic resonance imaging: A comparison of normal and depressed elderly subjects. Am J Psychiatry 147, 187–9.Google Scholar
Ehrlich, S, Noam, G G, Lyoo, I K, Kwon, B J, Clark, M A and Renshaw, P F. 2004. White matter hyperintensities and their associations with suicidality in psychiatrically hospitalized children and adolescents. J Am Acad Child Adolesc Psychiatry 43, 770–6.Google Scholar
Eng, J, Ceckler, T L and Balaban, R S. 1991. Quantitative 1H magnetization transfer imaging in vivo. Magn Reson Med 17, 304–14.Google Scholar
Figiel, G S, Krishnan, K R, Doraiswamy, P M, Rao, V P, Nemeroff, C B and Boyko, O B. 1991. Subcortical hyperintensities on brain magnetic resonance imaging: A comparison between late age onset and early onset elderly depressed subjects. Neurobiol Aging 12, 245–7.Google Scholar
Firbank, M J, Lloyd, A J, Ferrier, N and O'Brien, J T. 2004. A volumetric study of MRI signal hyperintensities in late-life depression. Am J Geriatr Psychiatry 12, 606–12.Google Scholar
Frodl, T, Meisenzahl, E, Zetzsche, T, et al. 2002. Enlargement of the amygdala in patients with a first episode of major depression. Biol Psychiatry 51, 708–14.Google Scholar
Frodl, T, Meisenzahl, E M, Zetzsche, T, et al. 2004. Hippocampal and amygdala changes in patients with major depressive disorder and healthy controls during a 1-year follow-up. J Clin Psychiatry 65, 492–9.Google Scholar
Frodl, T, Schaub, A, Banac, S, et al. 2006. Reduced hippocampal volume correlates with executive dysfunctioning in major depression. J Psychiatry Neurosci 31, 316–23.Google Scholar
Frodl, T, Zill, P, Baghai, T, et al. 2008a. Reduced hippocampal volumes associated with the long variant of the tri- and diallelic serotonin transporter polymorphism in major depression. Am J Med Genet B Neuropsychiatr Genet 147B, 1003–07.Google Scholar
Frodl, T S, Koutsouleris, N, Bottlender, R, et al. 2008b. Depression-related variation in brain morphology over 3 years: Effects of stress? Arch Gen Psychiatry 65, 1156–65.Google Scholar
Godin, O, Dufouil, C, Maillard, P, et al. 2008. White matter lesions as a predictor of depression in the elderly: The 3C-Dijon study. Biol Psychiatry 63, 663–9.Google Scholar
Greenwald, B S, Kramer-Ginsberg, E, Krishnan, K R, Ashtari, M, Auerbach, C and Patel, M. 1998. Neuroanatomic localization of magnetic resonance imaging signal hyperintensities in geriatric depression. Stroke 29, 613–7.Google Scholar
Greenwald, B S, Kramer-Ginsberg, E, Krishnan, K R, et al. 2001. A controlled study of MRI signal hyperintensities in older depressed patients with and without hypertension. J Am Geriatr Soc 49, 1218–25.Google Scholar
Grossman, R I. 1994. Magnetization transfer in multiple sclerosis. Ann Neurol 36 Suppl, S97–9.Google Scholar
Gunning-Dixon, F M, Hoptman, M J, Lim, K O, et al. 2008. Macromolecular white matter abnormalities in geriatric depression: A magnetization transfer imaging study. Am J Geriatr Psychiatry 16, 255–62.Google Scholar
Hamilton, J P, Siemer, M and Gotlib, I H. 2008. Amygdala volume in major depressive disorder: A meta-analysis of magnetic resonance imaging studies. Mol Psychiatry 13, 993–1000.Google Scholar
Hastings, R S, Parsey, R V, Oquendo, M A, Arango, V and Mann, J J. 2004. Volumetric analysis of the prefrontal cortex, amygdala, and hippocampus in major depression. Neuropsychopharmacology 29, 952–9.Google Scholar
Heiden, A, Kettenbach, J, Fischer, P, et al. 2005. White matter hyperintensities and chronicity of depression. J Psychiatr Res 39, 285–93.Google Scholar
Henkelman, R M, Stanisz, G J and Graham, S J. 2001. Magnetization transfer in MRI: A review. NMR Biomed 14, 57–64.Google Scholar
Hickie, I, Naismith, S, Ward, P B, et al. 2005a. Vascular risk and low serum B12 predict white matter lesions in patients with major depression. J Affect Disord 85, 327–32.Google Scholar
Hickie, I, Naismith, S, Ward, P B, et al. 2005b. Reduced hippocampal volumes and memory loss in patients with early- and late-onset depression. Br J Psychiatry 186, 197–202.Google Scholar
Hickie, I, Scott, E, Mitchell, P, Wilhelm, K, Austin, M P and Bennett, B. 1995. Subcortical hyperintensities on magnetic resonance imaging: Clinical correlates and prognostic significance in patients with severe depression. Biol Psychiatry 37, 151–60.Google Scholar
Hickie, I, Scott, E, Wilhelm, K and Brodaty, H. 1997. Subcortical hyperintensities on magnetic resonance imaging in patients with severe depression – A longitudinal evaluation. Biol Psychiatry 42, 367–74.Google Scholar
Hickie, I B, Naismith, S L, Ward, P B, et al. 2007. Serotonin transporter gene status predicts caudate nucleus but not amygdala or hippocampal volumes in older persons with major depression. J Affect Disord 98, 137–42.Google Scholar
Hoptman, M J, Gunning-Dixon, F M, Murphy, C F, et al. 2008. Blood pressure and white matter integrity in geriatric depression. J Affect Disord 115, 171–6.Google Scholar
Husain, M M, McDonald, W M, Doraiswamy, P M, et al. 1991. A magnetic resonance imaging study of putamen nuclei in major depression. Psychiatry Res 40, 95–9.Google Scholar
Iosifescu, D V, Renshaw, P F, Lyoo, I K, et al. 2006. Brain white-matter hyperintensities and treatment outcome in major depressive disorder. Br J Psychiatry 188, 180–5.Google Scholar
Jenkins, M, Malloy, P, Salloway, S, et al. 1998. Memory processes in depressed geriatric patients with and without subcortical hyperintensities on MRI. J Neuroimaging 8, 20–6.Google Scholar
Kim, M J, Hamilton, J P and Gotlib, I H. 2008. Reduced caudate gray matter volume in women with major depressive disorder. Psychiatry Res 164, 114–22.Google Scholar
Kramer-Ginsberg, E, Greenwald, B S, Krishnan, K R, et al. 1999. Neuropsychological functioning and MRI signal hyperintensities in geriatric depression. Am J Psychiatry 156, 438–44.Google Scholar
Kronmuller, K T, Pantel, J, Kohler, S, et al. 2008. Hippocampal volume and 2-year outcome in depression. Br J Psychiatry 192, 472–3.Google Scholar
Kumar, A, Bilker, W, Jin, Z and Udupa, J. 2000a. Atrophy and high intensity lesions: Complementary neurobiological mechanisms in late-life major depression. Neuropsychopharmacology 22, 264–74.Google Scholar
Kumar, A, Bilker, W, Lavretsky, H and Gottlieb, G. 2000b. Volumetric asymmetries in late-onset mood disorders: An attenuation of frontal asymmetry with depression severity. Psychiatry Res 100, 41–7.Google Scholar
Kumar, A, Gupta, R C, Albert, T M, Alger, J, Wyckoff, N and Hwang, S. 2004. Biophysical changes in normal-appearing white matter and subcortical nuclei in late-life major depression detected using magnetization transfer. Psychiatry Res 130, 131–40.Google Scholar
Kumar, A, Mintz, J, Bilker, W and Gottlieb, G. 2002. Autonomous neurobiological pathways to late-life major depressive disorder: Clinical and pathophysiological implications. Neuropsychopharmacology 26, 229–36.Google Scholar
Lacerda, A L, Nicoletti, M A, Brambilla, P, et al. 2003. Anatomical MRI study of basal ganglia in major depressive disorder. Psychiatry Res 124, 129–40.Google Scholar
Lai, T, Payne, M E, Byrum, C E, Steffens, D C and Krishnan, K R. 2000. Reduction of orbital frontal cortex volume in geriatric depression. Biol Psychiatry 48, 971–5.Google Scholar
Lampe, I K, Hulshoff Pol, H E, Janssen, J, Schnack, H G, Kahn, R S and Heeren, T J. 2003. Association of depression duration with reduction of global cerebral gray matter volume in female patients with recurrent major depressive disorder. Am J Psychiatry 160, 2052–4.Google Scholar
Lange, C and Irle, E. 2004. Enlarged amygdala volume and reduced hippocampal volume in young women with major depression. Psychol Med 34, 1059–64.Google Scholar
Lavretsky, H, Ballmaier, M, Pham, D, Toga, A and Kumar, A. 2007. Neuroanatomical characteristics of geriatric apathy and depression: A magnetic resonance imaging study. Am J Geriatr Psychiatry 15, 386–94.Google Scholar
Lavretsky, H, Kurbanyan, K, Ballmaier, M, Mintz, J, Toga, A and Kumar, A. 2004. Sex differences in brain structure in geriatric depression. Am J Geriatr Psychiatry 12, 653–7.Google Scholar
Lavretsky, H, Lesser, I M, Wohl, M, Miller, B L, Mehringer, C M and Vinters, H V. 2000. Apolipoprotein-E and white-matter hyperintensities in late-life depression. Am J Geriatr Psychiatry 8, 257–61.Google Scholar
Lee, S H, Payne, M E, Steffens, D C, et al. 2003. Subcortical lesion severity and orbitofrontal cortex volume in geriatric depression. Biol Psychiatry 54, 529–33.Google Scholar
Lenze, E, Cross, D, McKeel, D, Neuman, R J and Sheline, Y I. 1999. White matter hyperintensities and gray matter lesions in physically healthy depressed subjects. Am J Psychiatry 156, 1602–7.Google Scholar
Lenze, E J and Sheline, Y I. 1999. Absence of striatal volume differences between depressed subjects with no comorbid medical illness and matched comparison subjects. Am J Psychiatry 156, 1989–91.Google Scholar
Lesser, I M, Boone, K B, Mehringer, C M, Wohl, M A, Miller, B L and Berman, N G. 1996. Cognition and white matter hyperintensities in older depressed patients. Am J Psychiatry 153, 1280–7.Google Scholar
Levy, R M, Steffens, D C, McQuoid, D R, Provenzale, J M, MacFall, J R and Krishnan, K R. 2003. MRI lesion severity and mortality in geriatric depression. Am J Geriatr Psychiatry 11, 678–82.Google Scholar
Li, L, Ma, N, Li, Z, et al. 2007. Prefrontal white matter abnormalities in young adult with major depressive disorder: A diffusion tensor imaging study. Brain Res 1168, 124–8.Google Scholar
Ma, N, Li, L, Shu, N, et al. 2007. White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder. Am J Psychiatry 164, 823–6.Google Scholar
MacQueen, G M, Campbell, S, McEwen, B S, et al. 2003. Course of illness, hippocampal function, and hippocampal volume in major depression. Proc Natl Acad Sci U S A 100, 1387–92.Google Scholar
Maller, J J, Daskalakis, Z J and Fitzgerald, P B. 2007. Hippocampal volumetrics in depression: The importance of the posterior tail. Hippocampus 17, 1023–7.Google Scholar
Matsuo, K, Rosenberg, D R, Easter, P C, et al. 2008. Striatal volume abnormalities in treatment-naive patients diagnosed with pediatric major depressive disorder. J Child Adolesc Psychopharmacol 18, 121–31.Google Scholar
Mervaala, E, Fohr, J, Kononen, M, et al. 2000. Quantitative MRI of the hippocampus and amygdala in severe depression. Psychol Med 30, 117–25.Google Scholar
Murata, T, Kimura, H, Omori, M, et al. 2001. MRI white matter hyperintensities, (1)H-MR spectroscopy and cognitive function in geriatric depression: A comparison of early- and late-onset cases. Int J Geriatr Psychiatry 16, 1129–35.Google Scholar
Murphy, C F, Gunning-Dixon, F M, Hoptman, M J, et al. 2007. White-matter integrity predicts stroop performance in patients with geriatric depression. Biol Psychiatry 61, 1007–10.Google Scholar
Naismith, S, Hickie, I, Ward, P B, et al. 2002. Caudate nucleus volumes and genetic determinants of homocysteine metabolism in the prediction of psychomotor speed in older persons with depression. Am J Psychiatry 159, 2096–8.Google Scholar
Nebes, R D, Reynolds, C F, Boada, F, et al. 2002. Longitudinal increase in the volume of white matter hyperintensities in late-onset depression. Int J Geriatr Psychiatry 17, 526–30.Google Scholar
Neumeister, A, Wood, S, Bonne, O, et al. 2005. Reduced hippocampal volume in unmedicated, remitted patients with major depression versus control subjects. Biol Psychiatry 57, 935–7.Google Scholar
Nobuhara, K, Okugawa, G, Minami, T, et al. 2004. Effects of electroconvulsive therapy on frontal white matter in late-life depression: A diffusion tensor imaging study. Neuropsychobiology 50, 48–53.Google Scholar
Nobuhara, K, Okugawa, G, Sugimoto, T, et al. 2006. Frontal white matter anisotropy and symptom severity of late-life depression: A magnetic resonance diffusion tensor imaging study. J Neurol Neurosurg Psychiatry 77, 120–2.Google Scholar
O'Brien, J, Ames, D, Chiu, E, Schweitzer, I, Desmond, P and Tress, B. 1998. Severe deep white matter lesions and outcome in elderly patients with major depressive disorder: Follow up study. BMJ 317, 982–4.Google Scholar
O'Brien, T J, Lloyd, A, McKeith, I, Gholkar, A and Ferrier, N. 2004. A longitudinal study of hippocampal volume, cortisol levels, and cognition in older depressed subjects. Am J Psychiatry 161, 2081–90.Google Scholar
Parashos, I A, Tupler, L A, Blitchington, T and Krishnan, K R. 1998. Magnetic-resonance morphometry in patients with major depression. Psychiatry Res 84, 7–15.Google Scholar
Pillay, S S, Renshaw, P F, Bonello, C M, Lafer, B C, Fava, M and Yurgelun-Todd, D. 1998. A quantitative magnetic resonance imaging study of caudate and lenticular nucleus gray matter volume in primary unipolar major depression: Relationship to treatment response and clinical severity. Psychiatry Res 84, 61–74.Google Scholar
Pillay, S S, Yurgelun-Todd, D A, Bonello, C M, Lafer, B, Fava, M and Renshaw, P F. 1997. A quantitative magnetic resonance imaging study of cerebral and cerebellar gray matter volume in primary unipolar major depression: Relationship to treatment response and clinical severity. Biol Psychiatry 42, 79–84.Google Scholar
Pompili, M, Innamorati, M, Mann, J J, et al. 2008. Periventricular white matter hyperintensities as predictors of suicide attempts in bipolar disorders and unipolar depression. Prog Neuropsychopharmacol Biol Psychiatry 32, 1501–07.Google Scholar
Posener, J A, Wang, L, Price, J L, et al. 2003. High-dimensional mapping of the hippocampus in depression. Am J Psychiatry 160, 83–9.Google Scholar
Rabins, P V, Pearlson, G D, Aylward, E, Kumar, A J and Dowell, K. 1991. Cortical magnetic resonance imaging changes in elderly inpatients with major depression. Am J Psychiatry 148, 617–20.Google Scholar
Rosso, I M, Cintron, C M, Steingard, R J, Renshaw, P F, Young, A D and Yurgelun-Todd, D A. 2005. Amygdala and hippocampus volumes in pediatric major depression. Biol Psychiatry 57, 21–6.Google Scholar
Salloway, S, Boyle, P A, Correia, S, et al. 2002. The relationship of MRI subcortical hyperintensities to treatment response in a trial of sertraline in geriatric depressed outpatients. Am J Geriatr Psychiatry 10, 107–11.Google Scholar
Salloway, S, Malloy, P, Kohn, R, et al. 1996. MRI and neuropsychological differences in early and late-onset geriatric depression. Neurology 46, 1567–74.Google Scholar
Sheline, Y I, Gado, M H and Kraemer, H C. 2003. Untreated depression and hippocampal volume loss. Am J Psychiatry 160, 1516–8.Google Scholar
Sheline, Y I, Gado, M H and Price, J L. 1998. Amygdala core nuclei volumes are decreased in recurrent major depression. Neuroreport 9, 2023–8.Google Scholar
Sheline, Y I, Price, J L, Vaishnavi, S N, et al. 2008. Regional white matter hyperintensity burden in automated segmentation distinguishes late-life depressed subjects from comparison subjects matched for vascular risk factors. Am J Psychiatry 165, 524–32.Google Scholar
Sheline, Y I, Wang, P W, Gado, M H, Csernansky, J G and Vannier, M W. 1996. Hippocampal atrophy in recurrent major depression. Proc Natl Acad Sci U S A 93, 3908–13.Google Scholar
Siegle, G J, Konecky, R O, Thase, M E and Carter, C S. 2003. Relationships between amygdala volume and activity during emotional information processing tasks in depressed and never-depressed individuals: An fMRI investigation. Ann N Y Acad Sci 985, 481–4.Google Scholar
Simpson, S W, Baldwin, R C, Burns, A and Jackson, A. 2001. Regional cerebral volume measurements in late-life depression: Relationship to clinical correlates, neuropsychological impairment and response to treatment. Int J Geriatr Psychiatry 16, 469–76.Google Scholar
Simpson, S, Baldwin, R C, Jackson, A and Burns, A S. 1998. Is subcortical disease associated with a poor response to antidepressants? Neurological, neuropsychological and neuroradiological findings in late-life depression. Psychol Med 28, 1015–26.Google Scholar
Simpson, S W, Jackson, A, Baldwin, R C and Burns, A. 1997. 1997 IPA/Bayer Research Awards in Psychogeriatrics. Subcortical hyperintensities in late-life depression: Acute response to treatment and neuropsychological impairment. Int Psychogeriatr 9, 257–75.Google Scholar
Sonohara, K, Kozaki, K, Akishita, M, et al. 2008. White matter lesions as a feature of cognitive impairment, low vitality and other symptoms of geriatric syndrome in the elderly. Geriatr Gerontol Int 8, 93–100.Google Scholar
Steffens, D C, Bosworth, H B, Provenzale, J M and Macfall, J R. 2002. Subcortical white matter lesions and functional impairment in geriatric depression. Depress Anxiety 15, 23–8.Google Scholar
Steffens, D C, Byrum, C E, McQuoid, D R, et al. 2000. Hippocampal volume in geriatric depression. Biol Psychiatry 48, 301–09.Google Scholar
Steffens, D C, Conway, C R, Dombeck, C B, Wagner, H R, Tupler, L A and Weiner, R D. 2001. Severity of subcortical gray matter hyperintensity predicts ECT response in geriatric depression. J ECT 17, 45–9.Google Scholar
Steffens, D C, Potter, G G, McQuoid, D R, et al. 2007. Longitudinal magnetic resonance imaging vascular changes, apolipoprotein E genotype, and development of dementia in the neurocognitive outcomes of depression in the elderly study. Am J Geriatr Psychiatry 15, 839–49.Google Scholar
Steffens, D C, Taylor, W D, McQuoid, D R and Krishnan, K R. 2008. Short/long heterozygotes at 5HTTLPR and white matter lesions in geriatric depression. Int J Geriatr Psychiatry 23, 244–8.Google Scholar
Steffens, D C, Trost, W T, Payne, M E, Hybels, C F and MacFall, J R. 2003. Apolipoprotein E genotype and subcortical vascular lesions in older depressed patients and control subjects. Biol Psychiatry 54, 674–81.Google Scholar
Taylor, W D, Kuchibhatla, M, Payne, M E, et al. 2008a. Frontal white matter anisotropy and antidepressant remission in late-life depression. PLoS ONE 3, e3267.Google Scholar
Taylor, W D, MacFall, J R, Steffens, D C, Payne, M E, Provenzale, J M and Krishnan, K R. 2003a. Localization of age-associated white matter hyperintensities in late-life depression. Prog Neuropsychopharmacol Biol Psychiatry 27, 539–44.Google Scholar
Taylor, W D, Payne, M E, Krishnan, K R, et al. 2001. Evidence of white matter tract disruption in MRI hyperintensities. Biol Psychiatry 50, 179–83.Google Scholar
Taylor, W D, Steffens, D C, MacFall, J R, et al. 2003b. White matter hyperintensity progression and late-life depression outcomes. Arch Gen Psychiatry 60, 1090–6.Google Scholar
Taylor, W D, Steffens, D C, McQuoid, D R, et al. 2003c. Smaller orbital frontal cortex volumes associated with functional disability in depressed elders. Biol Psychiatry 53, 144–9.Google Scholar
Taylor, W D, Zuchner, S, McQuoid, D R, et al. 2008b. The brain-derived neurotrophic factor VAL66MET polymorphism and cerebral white matter hyperintensities in late-life depression. Am J Geriatr Psychiatry 16, 263–71.Google Scholar
Thomas, A J, O'Brien, J T, Barber, R, McMeekin, W and Perry, R. 2003. A neuropathological study of periventricular white matter hyperintensities in major depression. J Affect Disord 76, 49–54.Google Scholar
Thomas, A J, Perry, R, Barber, R, Kalaria, R N and O'Brien, J T. 2002. Pathologies and pathological mechanisms for white matter hyperintensities in depression. Ann N Y Acad Sci 977, 333–9.Google Scholar
Tupler, L A, Krishnan, K R, McDonald, W M, Dombeck, C B, D'Souza S and Steffens, D C. 2002. Anatomic location and laterality of MRI signal hyperintensities in late-life depression. J Psychosom Res 53, 665–76.Google Scholar
Eijndhoven, P, Wingen, G, Oijen, K, et al. 2008. Amygdala volume marks the acute state in the early course of depression. Biol Psychiatry 65, 812–8.Google Scholar
Waesberghe, J H, Kamphorst, W, Groot, C J, et al. 1999. Axonal loss in multiple sclerosis lesions: Magnetic resonance imaging insights into substrates of disability. Ann Neurol 46, 747–54.Google Scholar
Gunten, A, Fox, N C, Cipolotti, L and Ron, M A, 2000. A volumetric study of hippocampus and amygdala in depressed patients with subjective memory problems. J Neuropsychiatry Clin Neurosci 12, 493–8.Google Scholar
Yang, Q, Huang, X, Hong, N and Yu, X. 2007. White matter microstructural abnormalities in late-life depression. Int Psychogeriatr 19, 757–66.Google Scholar
Yuan, Y, Zhang, Z, Bai, F, et al. 2007. White matter integrity of the whole brain is disrupted in first-episode remitted geriatric depression. Neuroreport 18, 1845–9.Google Scholar
Zhao, Z, Taylor, W D, Styner, M, Steffens, D C, Krishnan, K R and Macfall, J R. 2008. Hippocampus shape analysis and late-life depression. PLoS ONE 3, e1837.Google Scholar
Zou, K, Huang, X, Li, T, et al. 2008. Alterations of white matter integrity in adults with major depressive disorder: A magnetic resonance imaging study. J Psychiatry Neurosci 33, 525–30.Google Scholar

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