Pattern of brain atrophy in elderly patients with depression revealed by voxel-based morphometry
Abstract
In this study, we explored to what extent brain abnormalities can be identified in specific brain structures of patients suffering from late onset depression. We examined the structural difference in regional gray and white matter volume between 14 community-dwelling patients suffering from geriatric depression and 20 age-matched non-depressed normal subjects by voxel-based morphometry (VBM) based on magnetic resonance imaging. All subjects also underwent an extensive neuropsychological assessment. Compared with control subjects, patients with depression were impaired in measures of verbal and visual memory, construction, executive ability, and information-processing speed. VBM of gray matter revealed a significant decrease of volume in the right rostral hippocampus, in the right amygdala and in the medial orbito-frontal cortex (gyrus rectus) bilaterally. In the correlation analysis of gray matter volume with the score of the geriatric depression scale, we observed a negative correlation with the medial orbito-frontal cortex (gyrus rectus) bilaterally. There were no differences in white matter volumes between patients with depression and healthy control subjects. The most important limitation of this study was sample size. A larger sample size may have improved detection of changes not reaching significance. Furthermore, our results may not be generalizable across depression severity or to hospitalized patients. The findings are consistent with our hypothesis that depression in the elderly is associated with local gray matter dysfunction.
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Moderate gray matter loss has been observed in subcortical regions including putamen, caudate nucleus, amygdala, and thalamus in MDD.
“Moderate GM loss has also been observed in subcortical regions including the putamen and caudate nucleus, as well as the amygdala and thalamus (Egger et al., 2008; Tang et al., 2007).”
From Widespread reductions in gray matter volume in depression (2013) · cites this paper as Egger et al., 2008
Two recent meta-analyses show convergent findings for cingulate and orbitofrontal cortex regions but differ in findings relating to striatal and limbic structures.
“The heterogeneity between studies is echoed in two recent meta-analyses which show convergent findings for cingulate and OFC regions but differ in their findings relating to striatal and limbic structures (Egger et al., 2008; Tang et al., 2007).”
From Widespread reductions in gray matter volume in depression (2013) · cites this paper as Egger et al., 2008
Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,841 · see citing works
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Development and validation of a geriatric depression screening scale: a preliminary report
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982) · Journal of Psychiatric Research · doi:10.1016/0022-3956(82)90033-4 · Cited by 15,025 · see citing works
Voxel-Based Morphometry—The Methods
Ashburner, J., & Friston, K. J. (2000) · NeuroImage · doi:10.1006/nimg.2000.0582 · Cited by 8,676 · see citing works
VALIDITY OF THE TRAIL MAKING TEST AS AN INDICATOR OF ORGANIC BRAIN DAMAGE
Reitan, R. M. (1958) · Perceptual and Motor Skills · doi:10.2466/pms.1958.8.3.271 · Cited by 7,925 · see citing works
Maldjian, J. A., Laurienti, P. J., Kraft, R., & Burdette, J. H. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00169-1 · Cited by 5,066 · see citing works
A Voxel-Based Morphometric Study of Ageing in 465 Normal Adult Human Brains
Good, C. D., Johnsrude, I. S., Ashburner, J., Henson, R. N. A., Friston, K. J., & Frackowiak, R. S. J. (2001) · NeuroImage · doi:10.1006/nimg.2001.0786 · Cited by 4,561 · see citing works
The Structured Clinical Interview for DSM-III-R (SCID): I: History, Rationale, and Description
Spitzer, R. L. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820080032005 · Cited by 4,336 · see citing works
A new rating scale for Alzheimer's disease
(1984) · American Journal of Psychiatry · doi:10.1176/ajp.141.11.1356 · Cited by 4,175 · see citing works
Mayberg, H. S., Liotti, M., Brannan, S. K., McGinnis, S., Mahurin, R. K., Jerabek, P. A., Silva, J. A., Tekell, J. L., Martin, C. C., Lancaster, J. L., et al. (1999) · American Journal of Psychiatry · doi:10.1176/ajp.156.5.675 · Cited by 2,416 · see citing works
Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex
Cardinal, R. N., Parkinson, J. A., Hall, J., & Everitt, B. J. (2002) · Neuroscience & Biobehavioral Reviews · doi:10.1016/s0149-7634(02)00007-6 · Cited by 2,129 · see citing works
Miller, M. D., Paradis, C. F., Houck, P. R., Mazumdar, S., Stack, J. A., Rifai, A. H., Mulsant, B., & Reynolds, C. F. (1992) · Psychiatry Research · doi:10.1016/0165-1781(92)90005-n · Cited by 1,990 · see citing works
The Return of Phineas Gage: Clues About the Brain from the Skull of a Famous Patient
Damásio, H., Grabowski, T. J., Frank, R. J., Galaburda, A. M., & Damásio, A. R. (1994) · Science · doi:10.1126/science.8178168 · Cited by 1,520 · see citing works
Sheline, Y. I., Sanghavi, M., Mintun, M. A., & Gado, M. H. (1999) · The Journal of Neuroscience · doi:10.1523/jneurosci.19-12-05034.1999 · Cited by 1,382 · cited 2× · see citing works
“The bilateral hippocampal–entorhinal volume correlates inversely with years since onset of depression, suggesting that total lifetime duration of depression is significantly associated with hippocampal volume loss bilaterally (Sheline et al., 1999).”
BackgroundLower Hippocampal Volume in Patients Suffering From Depression: A Meta-Analysis
Campbell, S., Marriott, M., Nahmias, C., & MacQueen, G. M. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.4.598 · Cited by 1,156 · see citing works
Diagnostic and Statistical Manual of Mental Disorders
Preedy, V., & Watson, R. (2010) · Springer eBooks · doi:10.1007/978-0-387-78665-0_5485 · Cited by 1,146 · see citing works
Mayberg, H. S., Brannan, S. K., Tekell, J. L., Silva, J. A., Mahurin, R. K., McGinnis, S., & Jerabek, P. A. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(00)01036-2 · Cited by 1,115 · see citing works
Clock Drawing in Alzheimer's Disease
Sunderland, T., Hill, J., Mellow, A. M., Lawlor, B. A., Gundersheimer, J., NEWHOUSE, P. A., & Grafman, J. H. (1989) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1989.tb02233.x · Cited by 1,058 · see citing works
Postmortem studies in mood disorders indicate altered numbers of neurons and glial cells
Rajkowska, G. (2000) · Biological Psychiatry · doi:10.1016/s0006-3223(00)00950-1 · Cited by 822 · see citing works
The Nature and Determinants of Neuropsychological Functioning in Late-LifeDepression
Butters, M. A., Whyte, E. M., Nebes, R. D., Begley, A. E., Dew, M. A., Mulsant, B. H., Zmuda, M. D., Bhalla, R., Meltzer, C. C., Pollock, B. G., et al. (2004) · Archives of General Psychiatry · doi:10.1001/archpsyc.61.6.587 · Cited by 622 · see citing works
Neuroimaging Abnormalities in the Amygdala in Mood Disorders
DREVETS, W. C. (2003) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2003.tb07098.x · Cited by 544 · see citing works
Reduced volume of orbitofrontal cortex in major depression
Bremner, J. D., Vythilingam, M., Vermetten, E., Nazeer, A., Adil, J., Khan, S., Staib, L. H., & Charney, D. S. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01336-1 · Cited by 537 · see citing works
The course of geriatric depression with "reversible dementia": a controlled study
Alexopoulos, G. S., Meyers, B. S., Young, R. C., Mattis, S. A., & Kakuma, T. (1993) · American Journal of Psychiatry · doi:10.1176/ajp.150.11.1693 · Cited by 499 · see citing works
Amygdala core nuclei volumes are decreased in recurrent major depression
Sheline, Y. I., Gado, M. H., & Price, J. L. (1998) · NeuroReport · doi:10.1097/00001756-199806220-00021 · Cited by 472 · see citing works
Ballmaier, M., Toga, A. W., Blanton, R. E., Sowell, E. R., Lavretsky, H., Peterson, J. R., Pham, D. L., & Kumar, A. (2004) · American Journal of Psychiatry · doi:10.1176/appi.ajp.161.1.99 · Cited by 382 · see citing works
Quantitative MRI of the hippocampus and amygdala in severe depression
Mervaala, E., Föhr, J., Könönen, M., Valkonen‐Korhonen, M., Vainio, P. A., Partanen, K. P. L., Partanen, J. V., Tiihonen, J., Viinamäki, H. T., Karjalainen, A.-M., et al. (2000) · Psychological Medicine · doi:10.1017/s0033291799001567 · Cited by 382 · see citing works
Executive Dysfunction in Geriatric Depression
Lockwood, K. A., Alexopoulos, G. S., & van Gorp, W. G. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.7.1119 · Cited by 378 · see citing works
Bell-McGinty, S., Butters, M. A., Meltzer, C. C., Greer, P. J., Reynolds, C. F., & Becker, J. T. (2002) · American Journal of Psychiatry · doi:10.1176/appi.ajp.159.8.1424 · Cited by 338 · see citing works
Enlargement of the Amygdala in Patients with a First Episode of Major Depression
Frodl, T., Meisenzahl, E., Zetzsche, T., Bottlender, R., Born, C., Groll, C., Jäger, M., Leinsinger, G., Hahn, K., & Möller, H.-J. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(01)01359-2 · Cited by 316 · see citing works
Mechtcheriakov, S., Brenneis, C., Egger, K. E., Koppelstaetter, F., Schocke, M., & Marksteiner, J. (2006) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.095869 · Cited by 245 · see citing works
Voxel based morphometry reveals specific gray matter changes in primary dystonia
Egger, K. E., Mueller, J., Schocke, M. F. H., Brenneis, C., Rinnerthaler, M., Seppi, K., Trieb, T., Wenning, G. K., Hallett, M., & Poewe, W. H. (2007) · Movement Disorders · doi:10.1002/mds.21619 · Cited by 140 · see citing works
Tang, Y., Wang, F., Xie, G., Liu, J., Li, L., Su, L., Liu, Y., Xian, H., He, Z., & Blumberg, H. P. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2007.03.005 · Cited by 138 · see citing works
Taki, Y., Kinomura, S., Awata, S., Inoue, K., Sato, K., Ito, H., Goto, R., Uchida, S., Tsuji, I., Arai, H., et al. (2005) · Journal of Affective Disorders · doi:10.1016/j.jad.2005.08.003 · Cited by 127 · see citing works
JATZKO, A., ROTHENHOFER, S., SCHMITT, A., GASER, C., DEMIRAKCA, T., WEBERFAHR, W., WESSA, M., MAGNOTTA, V, & BRAUS, D. (2006) · Journal of Affective Disorders · doi:10.1016/j.jad.2006.03.010 · Cited by 116 · see citing works
Janssen, J., Hulshoff Pol, H. E., de Leeuw, F.-E., Schnack, H. G., Lampe, I. K., Kok, R. M., Kahn, R. S., & Heeren, T. J. (2007) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.2006.098087 · Cited by 113 · see citing works
The neurobiology of neuropsychiatric syndromes in dementia
Meeks, T. W., Ropacki, S., & Jeste, D. V. (2006) · Current Opinion in Psychiatry · doi:10.1097/01.yco.0000245746.45384.0e · Cited by 83 · see citing works
Understanding the Placebo Effect: Contributions from Neuroimaging
Lidstone, S., & Stoessl, A. (2007) · Molecular Imaging and Biology · doi:10.1007/s11307-007-0098-z · Cited by 77 · see citing works
Change in Disability Follows Inpatient Treatment for Late Life Depression
Oslin, D. W., Streim, J. E., Katz, I. R., Edell, W. S., & TenHave, T. R. (2000) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2000.tb04690.x · Cited by 55 · see citing works
Boone, K. B., Lesser, I. M., Miller, B. L., Wohl, M. A., Berman, N., Lee, A., & Palmer, B. W. (1994) · Journal of Neuropsychiatry · doi:10.1176/jnp.6.3.267 · Cited by 53 · see citing works
Basal forebrain atrophy is a distinctive pattern in dementia with Lewy bodies
Brenneis, C., Wenning, G. K., Egger, K. E., Schocke, M., Trieb, T., Seppi, K., Marksteiner, J., Ransmayr, G. N., Benke, T., & Poewe, W. H. (2004) · Neuroreport · doi:10.1097/01.wnr.0000136736.73895.03 · Cited by 40 · see citing works
Structural Neuroimaging Research Methods in Geriatric Depression
Hoptman, M. J., Gunning‐Dixon, F. M., Murphy, C. F., Lim, K. O., & Alexopoulos, G. S. (2006) · American Journal of Geriatric Psychiatry · doi:10.1097/01.jgp.0000238588.34205.bd · Cited by 33 · see citing works
Antidepressant response in the elderly
Mandelli, L., Serretti, A., Zanardi, R., Rossini, D., Ronchi, D. D., Tarricone, I., & Colombo, C. (2007) · Psychiatry Research · doi:10.1016/j.psychres.2006.10.008 · Cited by 26 · see citing works
Treatment of geriatric depression.
Small, G. W. (1998) · PubMed · Cited by 18 · see citing works
Understanding the Placebo Effect: Contributions from Neuroimaging
Lidstone, S. C. C., & Stoessl, A. (2007) · Molecular Imaging and Biology · doi:10.1007/s11307-007-0086-3 · Cited by 13 · see citing works
Depressive Symptoms and Cognitive Decline in Nondemented Elderly Women: A Prospective Study
Yaffe, K., Blackwell, T., Gore, R., Sands, L., Reus, V., & Browner, W. S. (1999) · Archives of General Psychiatry · doi:10.1001/archpsyc.56.5.425 · Cited by 8 · see citing works
Nemeroff (1998) · doi:10.1002/(sici)1520-6394(1998)8:1+
Flagged first, then by citations
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Behavioral and psychological symptoms of dementia
Cerejeira, J., Lagarto, L., & Mukaetova-Ladinska, E. B. (2012) · Frontiers in Neurology · doi:10.3389/fneur.2012.00073 · Cited by 1,425 · see citing works
Kempton, M. J., Salvador, Z., Munafò, M. R., Geddes, J. R., Simmons, A., Frangou, S., & Williams, S. C. R. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.60 · Cited by 886 · see citing works
Widespread reductions in gray matter volume in depression
Grieve, S. M., Korgaonkar, M. S., Koslow, S. H., Gordon, E., & Williams, L. M. (2013) · NeuroImage: Clinical · doi:10.1016/j.nicl.2013.08.016 · Cited by 388 · see citing works
Naismith, S. L., Norrie, L. M., Mowszowski, L., & Hickie, I. B. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.05.009 · Cited by 269 · see citing works
Wilkinson, M. B., Xiao, G., Kumar, A., LaPlant, Q., Renthal, W., Sikder, D., Kodadek, T. J., & Nestler, E. J. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.0932-09.2009 · Cited by 262 · see citing works
Voxelwise meta-analysis of gray matter reduction in major depressive disorder
Du, M.-Y., Wu, Q.-Z., Yue, Q., Li, J., Liao, Y., Kuang, W.-H., Huang, X.-Q., Chan, R. C. K., Mechelli, A., & Gong, Q.-Y. (2012) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2011.09.014 · Cited by 237 · see citing works
A Systematic Review and Meta-Analysis of Magnetic Resonance Imaging Studies in Late-Life Depression
Sexton, C. E., Mackay, C. E., & Ebmeier, K. P. (2013) · The American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2012.10.019 · Cited by 210 · see citing works
Gray matter volume in major depressive disorder: A meta-analysis of voxel-based morphometry studies
Lai, C.-H. (2013) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2012.06.006 · Cited by 191 · see citing works
Lee, G. J., Lu, P. H., Hua, X., Lee, S., Wu, S., Nguyen, K., Teng, E., Leow, A., Jack, C. R., Toga, A. W., et al. (2012) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.12.024 · Cited by 172 · see citing works
Cognitive impairment and depression: Meta-analysis of structural magnetic resonance imaging studies
Žáčková, L., Jáni, M., Brázdil, M., Nikolova, Y. S., & Marečková, K. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102830 · Cited by 172 · see citing works
Kühn, S., Vanderhasselt, M., Raedt, R. D., & Gallinat, J. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.03.024 · Cited by 146 · see citing works
Depressive symptoms in Parkinson's disease are related to decreased hippocampus and amygdala volume
van Mierlo, T., Chung, C., Foncke, E. M. J., Berendse, H. W., & van den Heuvel, O. A. (2015) · Movement Disorders · doi:10.1002/mds.26112 · Cited by 146 · see citing works
Brain grey matter volume alterations in late-life depression
Du, M., Liu, J., Chen, Z., Huang, X., Li, J., Kuang, W., Yang, Y., Zhang, W., Zhou, D., Bi, F., et al. (2014) · Journal of Psychiatry and Neuroscience · doi:10.1503/jpn.130275 · Cited by 141 · see citing works
Diniz, B. S., Sibille, E., Ding, Y., Tseng, G., Aizenstein, H. J., Lotrich, F., Becker, J. T., Lopez, O. L., Lotze, M. T., Klunk, W. E., et al. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.76 · Cited by 116 · see citing works
Brain Network Dysfunction in Late-Life Depression
Tadayonnejad, R., & Ajilore, O. (2013) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988713516539 · Cited by 114 · see citing works
Lim, H. K., Jung, W. S., Ahn, K. J., Won, W. Y., Hahn, C., Lee, S. Y., Kim, I. S., & Lee, C. U. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.264 · Cited by 110 · see citing works
Depression and Cognitive Impairment in Older Adults
Weisenbach, S. L., Boore, L. A., & Kales, H. C. (2012) · Current Psychiatry Reports · doi:10.1007/s11920-012-0278-7 · Cited by 104 · see citing works
Roles of the medial and lateral orbitofrontal cortex in major depression and its treatment
Zhang, B., Rolls, E. T., Wang, X., Xie, C., Cheng, W., & Feng, J. (2024) · Molecular Psychiatry · doi:10.1038/s41380-023-02380-w · Cited by 104 · see citing works
Magnetic Resonance Imaging in Late-Life Depression
Sexton, C. E., Allan, C. L., Masurier, M. L., McDermott, L. M., Kalu, U. G., Herrmann, L. L., Mäurer, M. A., Bradley, K. M., Mackay, C. E., & Ebmeier, K. P. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.1862 · Cited by 98 · see citing works
Tu, P., Chen, L., Hsieh, J., Bai, Y.-M., Li, C., & Su, T. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2011.07.011 · Cited by 98 · see citing works
Wu, F., Tang, Y., Ke Cheng, X. U., Kong, L., Sun, W., Wang, F., Kong, D., Li, Y.-L., & Liu, Y. (2010) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2010.09.002 · Cited by 95 · see citing works
Traumatic brain injury, major depression, and diffusion tensor imaging: Making connections
Maller, J. J., Thomson, R. H., Lewis, P., Rose, S., Pannek, K., & Fitzgerald, P. B. (2010) · Brain Research Reviews · doi:10.1016/j.brainresrev.2010.04.003 · Cited by 95 · see citing works
Yue, Y., Yuan, Y., Hou, Z., Jiang, W., Bai, F., & Zhang, Z. (2013) · PLoS ONE · doi:10.1371/journal.pone.0075058 · Cited by 93 · see citing works
Rostami, R., Kazemi, R., Nitsche, M. A., Gholipour, F., & Salehinejad, M. A. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.07.395 · Cited by 93 · see citing works
Wong, N. M. L., Liu, H.-L., Lin, C., Huang, C., Wai, Y. Y., Lee, S., & Lee, T. M. C. (2016) · Psychological Medicine · doi:10.1017/s0033291716001033 · Cited by 82 · see citing works
Promising Neuroimaging Biomarkers in Depression
Lai, C. (2019) · Psychiatry Investigation · doi:10.30773/pi.2019.07.25.2 · Cited by 75 · see citing works
Epigenetics and psychoneuroimmunology: Mechanisms and models
Mathews, H. L., & Janusek, L. W. (2010) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2010.08.009 · Cited by 76 · see citing works
Hayward, R. D., Owen, A. D., Koenig, H. G., Steffens, D. C., & Payne, M. E. (2011) · Religion Brain & Behavior · doi:10.1080/2153599x.2011.598328 · Cited by 73 · see citing works
Qin, J., Wei, M., Liu, H., Yan, R., Luo, G., Yao, Z., & Lu, Q. (2014) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25036 · Cited by 73 · see citing works
Lai, C. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110234 · Cited by 71 · see citing works
Ribeiz, S. R. I., Duran, F., de Oliveira, M. C., Bezerra, D. M., de Castro, C. C., Steffens, D. C., Busatto, G. F., & Bottino, C. M. C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080049 · Cited by 68 · see citing works
Lai, C., & Wu, Y. (2014) · Journal of Affective Disorders · doi:10.1016/j.jad.2013.12.036 · Cited by 68 · see citing works
Dam, D. V., Vermeiren, Y., Dekker, A. D., Naudé, P. J. W., & Deyn, P. P. D. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160502123607 · Cited by 65 · see citing works
Abnormal functional connectivity of the default mode network in remitted late-onset depression
Wu, D., Yuan, Y., Bai, F., You, J., Li, L., & Zhang, Z. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.11.019 · Cited by 63 · see citing works
Fujishima, M., Maikusa, N., Nakamura, K., Nakatsuka, M., Matsuda, H., & Meguro, K. (2014) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2014.00306 · Cited by 64 · see citing works
Mackin, R. S., Tosun, D., Mueller, S. G., Lee, J., Insel, P. S., Schuff, N. W., Truran‐Sacrey, D., Areán, P. A., Nelson, J. C., & Weiner, M. W. (2013) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2013.01.013 · Cited by 64 · see citing works
Aung, H., Aghvinian, M., Gouse, H., Robbins, R., Brew, B., Mao, L., & Cysique, L. (2020) · Aids and Behavior · doi:10.1007/s10461-020-03053-3 · Cited by 52 · see citing works
Cortical thickness and VBM-DARTEL in late-life depression
Colloby, S. J., Firbank, M., Vasudev, A., Parry, S. W., Thomas, A. J., & O'Brien, J. T. (2011) · Journal of Affective Disorders · doi:10.1016/j.jad.2011.04.010 · Cited by 58 · see citing works
Cortical thickness and voxel-based morphometry in depressed elderly
Koolschijn, P. C. M. P., van Haren, N. E. M., Schnack, H. G., Janssen, J., Pol, H. E. H., & Kahn, R. S. (2010) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2010.02.010 · Cited by 56 · see citing works
Khundakar, A. A., Morris, C. M., Oakley, A. E., & Thomas, A. J. (2010) · International Psychogeriatrics · doi:10.1017/s1041610210000700 · Cited by 55 · see citing works
Boccia, M., Acierno, M., & Piccardi, L. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142955 · Cited by 50 · see citing works
Hayakawa, Y. K., Sasaki, H., Takao, H., Mori, H., Hayashi, N., Kunimatsu, A., Aoki, S., & Ohtomo, K. (2012) · Journal of Affective Disorders · doi:10.1016/j.jad.2012.10.023 · Cited by 48 · see citing works
Chung, J. K., Plitman, E., Nakajima, S., Chakravarty, M. M., Caravaggio, F., Gerretsen, P., Iwata, Y., & Graff‐Guerrero, A. (2015) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/0891988715606230 · Cited by 48 · see citing works
Salo, K. I., Scharfen, J., Wilden, I. D., Schubotz, R. I., & Holling, H. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.01241 · Cited by 48 · see citing works
Zihl, J., Reppermund, S., Thüm, S., & Unger, K. (2010) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2009.12.002 · Cited by 41 · see citing works
Xekardaki, A., Santos, M., Hof, P. R., Kövari, E., Bouras, C., & Giannakopoulos, P. (2012) · Acta Neuropathologica · doi:10.1007/s00401-012-1021-5 · Cited by 36 · see citing works
Structural Neuroimaging of Geriatric Depression
Benjamin, S., & Steffens, D. C. (2011) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2011.02.001 · Cited by 35 · see citing works
Ye, B. S., Seo, S. W., Kim, C. H., Jeon, S., Kim, G. H., Noh, Y., Cho, H., Yoon, C. W., Kim, H. J., Jang, E. Y., et al. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.08.017 · Cited by 36 · see citing works
Tha, K. K., Terae, S., Nakagawa, S., Inoue, T., Kitagawa, N., Kako, Y., Nakato, Y., Popy, K. A., Fujima, N., Zaitsu, Y., et al. (2012) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2012.07.004 · Cited by 35 · see citing works
Marawi, T., Ainsworth, N. J., Zhukovsky, P., Rashidi‐Ranjbar, N., Rajji, T. K., Tartaglia, M. C., Voineskos, A. N., & Mulsant, B. H. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02584-2 · Cited by 36 · see citing works
Morris, G., Berk, M., & Puri, B. K. (2017) · Molecular Neurobiology · doi:10.1007/s12035-017-0598-z · Cited by 32 · see citing works
Stuke, H., Hanken, K., Hirsch, J. G., Klein, J., Wittig, F., Kastrup, A., & Hildebrandt, H. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00622 · Cited by 33 · see citing works
Disrupted orbitomedial prefrontal limbic network in individuals with later-life depression
Harada, K., Matsuo, K., Nakashima, M., Hobara, T., Higuchi, N., Higuchi, F., Nakano, M., Otsuki, K., Shibata, T., Watanuki, T., et al. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.06.031 · Cited by 33 · see citing works
Hayakawa, Y. K., Sasaki, H., Takao, H., Hayashi, N., Kunimatsu, A., Ohtomo, K., & Aoki, S. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.03.002 · Cited by 31 · see citing works
The structure of the geriatric depressed brain and response to electroconvulsive therapy
Oudega, M. L., van Exel, E. R., Stek, M. L., Wattjes, M. P., van der Flier, W. M., Comijs, H. C., Dols, A., Scheltens, P., Barkhof, F., Eikelenboom, P., et al. (2014) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2014.03.002 · Cited by 31 · see citing works
Amidfar, M., Quevedo, J., Réus, G. Z., & Kim, Y. (2020) · International Journal of Psychiatry in Clinical Practice · doi:10.1080/13651501.2020.1861632 · Cited by 30 · see citing works
Vives, A. S., Granell, E., Gómez‐Ansón, B., Crespo, I., Pires, P., Vives‐Gilabert, Y., Valassi, E., Webb, S. M., & Resmini, E. (2017) · BioMed Research International · doi:10.1155/2017/2061935 · Cited by 30 · see citing works
Marano, C. M., Workman, C. I., Lyman, C. H., Munro, C. A., Kraut, M. A., & Smith, G. S. (2013) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2013.10.001 · Cited by 29 · see citing works
Meiner, Z., Ayers, E. I., Bennett, D. A., Wang, C., & Verghese, J. (2021) · European Journal of Neurology · doi:10.1111/ene.14841 · Cited by 25 · see citing works
Efeito da estimulação cognitiva em Idosos
Apóstolo, J., Cardoso, D., Marta, L. M. G., & Amaral, T. (2011) · Revista de Enfermagem Referência · doi:10.12707/riii11104 · Cited by 25 · see citing works
Vasconcelos, L. D. G., Jackowski, A. P., de Oliveira, M. O., Flor, Y. M. R., Bueno, O. F. A., & Brucki, S. M. D. (2011) · Clinics · doi:10.1590/s1807-59322011000600021 · Cited by 25 · see citing works
Goto, M., Kamagata, K., Hatano, T., Hattori, N., Abe, O., Aoki, S., Hori, M., & Gomi, T. (2017) · Acta Radiologica · doi:10.1177/0284185117719100 · Cited by 24 · see citing works
Demirakca, T., Brusniak, W., Tunc-Skarka, N., Wolf, I., Meier, S., Matthäus, F., Ende, G., Schulze, T. G., & Diener, C. (2014) · The World Journal of Biological Psychiatry · doi:10.3109/15622975.2013.803600 · Cited by 23 · see citing works
Chang, W. H., Su, C., Chen, K. C., Hsiao, Y. Y., Chen, P. S., & Yang, Y. K. (2023) · Clinical Psychopharmacology and Neuroscience · doi:10.9758/cpn.22.991 · Cited by 22 · see citing works
Neurocognition and brain structure in pediatric patients with type 1 diabetes
Pixner, S., Starke, M., Zotter, S., Köhle, J., Meraner, D., Kremser, C., Egger, K. E., Schocke, M. F. H., Hofer, S. E., & Kaufmann, L. (2015) · Journal of Pediatric Neuroradiology · doi:10.3233/pnr-2012-005 · Cited by 22 · see citing works
Atkinson, L. Z., Sankar, A., Adams, T. M., & Fu, C. H. Y. (2014) · Current Treatment Options in Psychiatry · doi:10.1007/s40501-014-0022-5 · Cited by 22 · see citing works
Huang, C., Wu, B., Zhang, C., Wei, Z., Su, L., Zhang, J., & Wang, L. (2024) · Gerontology · doi:10.1159/000538314 · Cited by 21 · see citing works
Applications of magnetic resonance imaging for treatment-resistant late-life depression
Agudelo, C., Aizenstein, H. J., Karp, J. F., & Reynolds, C. F. (2015) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2015.17.2/cagudelo · Cited by 19 · see citing works
Neuroimaging predictors for depressive symptoms in cerebral small vessel disease
Fu, J. H., Wong, K., Mok, V., Hu, X., Xiong, Y., Chen, Y., Tang, W. K., Chen, X., Wong, A., Chu, C. W., et al. (2009) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.2436 · Cited by 19 · see citing works
Towards automated detection of depression from brain structural magnetic resonance images
Kipli, K., Kouzani, A. Z., & Williams, L. J. (2013) · Neuroradiology · doi:10.1007/s00234-013-1139-8 · Cited by 18 · see citing works
Brendel, M., Reinisch, V. M., Kalinowski, E., Levin, J., Delker, A., Därr, S., Pogarell, O. M., Förster, S., Bartenstein, P., & Rominger, A. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160314143922 · Cited by 15 · see citing works
Goltermann, J., Redlich, R., Dohm, K., Zaremba, D., Repple, J., Flint, C., Grotegerd, D., Förster, K., Meinert, S., Enneking, V., et al. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00552 · Cited by 16 · see citing works
The Heterogeneity and Natural History of Mild Cognitive Impairment of Visual Memory Predominant Type
Ye, B. S., Chin, J., Kim, S. Y., Lee, J. S., Kim, E., Lee, Y., Hong, C. H., Choi, S. H., Park, K. W., Ku, B. D., et al. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-140318 · Cited by 14 · see citing works
The Age of Onset of Unipolar Depression
Yalın, N., & Young, A. H. (2018) · Springer eBooks · doi:10.1007/978-3-319-72619-9_6 · Cited by 10 · see citing works
Brouwer, J., van den Berg, F., Knooihuizen, R., Loerts, H., & Keijzer, M. C. J. (2020) · Behavioral Sciences · doi:10.3390/bs10090132 · Cited by 11 · see citing works
Meurs, M., Roest, A. M., Groenewold, N. A., Franssen, C. F. M., Westerhuis, R., Kloppenburg, W. D., Doornbos, B., Beukema, L., Lindmäe, H., de Groot, J. C., et al. (2016) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2016.02.005 · Cited by 10 · see citing works
Haider, S., Schwarzinger, A., Štefanac, S., Soysal, P., Smith, L., Veronese, N., Dorner, T. E., & Grabovac, I. (2020) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5407 · Cited by 9 · see citing works
Tittmann, M., Günther, T., Sacher, J., Himmerich, H., Villringer, A., Hegerl, U., & Schönknecht, P. (2014) · International Journal of Imaging Systems and Technology · doi:10.1002/ima.22089 · Cited by 8 · see citing works
Mackin, R. S., Rhodes, E., Kassel, M. T., Kryza‐Lacombe, M., Burns, E., Bickford, D. D., Morin, R. T., Tosun, D., Landau, S. M., Butters, M. A., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02677-4 · Cited by 8 · see citing works
Neuroanatomical substrates of depression in dementia with Lewy bodies and Alzheimer’s disease
Querry, M., Botzung, A., Cretin, B., Demuynck, C., Muller, C., Ravier, A., Schorr, B., Mondino, M., Sanna, L., de Sousa, P. L., et al. (2024) · GeroScience · doi:10.1007/s11357-024-01190-4 · Cited by 7 · see citing works
Personalized Dose Selection for Treatment of Patients with Neuropsychiatric Disorders Using tDCS
Bhattacharjee, S., Kashyap, R., Sreeraj, V. S., P.Sivakumar, P. S., Venkatasubramanian, G., Desmond, J. E., Chen, S. A., Sathyaprabha, T. N., & Udupa, K. (2024) · Brain Sciences · doi:10.3390/brainsci14121162 · Cited by 7 · see citing works
Brain Structural Abnormalities of Major Depressive Disorder
Wu, H., Melicher, T., Bauer, I. E., Sanches, M., & Soares, J. C. (2019) · Elsevier eBooks · doi:10.1016/b978-0-323-58131-8.00003-3 · Cited by 6 · see citing works
Computer-aided detection of depression from magnetic resonance images
Kipli, K., Kouzani, A. Z., & Joordens, M. (2012) · ICME International Conference on Complex Medical Engineering (CME) · doi:10.1109/iccme.2012.6275745 · Cited by 6 · see citing works
Tae, W. (2015) · Investigative Magnetic Resonance Imaging · doi:10.13104/imri.2015.19.1.10 · Cited by 6 · see citing works
Cortical Thickness and Hippocampal Volume in Vascular and Non-vascular Depressed Patients
Egglefield, D. A., Schiff, S., Motter, J. N., Grinberg, A., Rutherford, B. R., & Sneed, J. R. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.697489 · Cited by 5 · see citing works
Khundakar, A. A., Morris, C. M., Slade, J. Y., & Thomas, A. J. (2011) · Psychiatry and Clinical Neurosciences · doi:10.1111/j.1440-1819.2010.02176.x · Cited by 5 · see citing works
Voxel-Based Morphometry Imaging Studies in Major Depression
Dusi, N., Delvecchio, G., Rovera, C., Altamura, C. A., & Brambilla, P. (2018) · Neuromethods · doi:10.1007/978-1-4939-7647-8_21 · Cited by 4 · see citing works
Bensassi, I., López‐Castromán, J., Maller, J. J., Meslin, C., Wyart, M., Ritchie, K. A., Courtet, P., Artéro, S., & Calati, R. (2018) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2018.04.008 · Cited by 4 · see citing works
Kim, J. W., Byun, M. S., Yi, D., Lee, J. H., Ko, K., Jung, G., & Lee, D. Y. (2019) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s192231 · Cited by 4 · see citing works
Sun, Y., Zhang, Q., Wang, J., & Zhou, Z. (2025) · World Journal of Psychiatry · doi:10.5498/wjp.v15.i7.107721 · Cited by 3 · see citing works
Im, S.-J., Lee, J., & Kim, S. (2021) · Experimental Neurobiology · doi:10.5607/en20056 · Cited by 3 · see citing works
Egglefield, D. A., Bursky, M., Schiff, S., Rindskopf, D. M., & Sneed, J. R. (2025) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2025.05.001 · Cited by 3 · see citing works
Karavasilis, E., Parthimos, T. P., Papatriantafyllou, J. D., Christidi, F., Papageorgiou, S. G., Kapsas, G., Papanicolaou, A. C., & Seimenis, I. (2019) · Australasian Physical & Engineering Sciences in Medicine · doi:10.1007/s13246-019-00758-1 · Cited by 2 · see citing works
Challenges in Identifying Individualized Brain Biomarkers of Late Life Depression
Hannon, K., & Bijsterbosch, J. D. (2023) · Advances in Geriatric Medicine and Research · doi:10.20900/agmr20230010 · Cited by 2 · see citing works
Burke, S. L., Grudzien, A., Li, T., Goulett, N., Barnes, C. P., Hanson, K., & DeKosky, S. T. (2025) · Journal of Geriatric Psychiatry and Neurology · doi:10.1177/08919887251361101 · Cited by 2 · see citing works
Karim, H. T., Reynolds, C. F., & Smagula, S. F. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-813176-3.00027-4 · Cited by 1 · see citing works
Magnetic Resonance Imaging as a Translational Research Tool for Major Depression
Lai, C. (2022) · Neuromethods · doi:10.1007/978-1-0716-2083-0_12 · Cited by 1 · see citing works
Neuroimaging in Geriatric Depression
Gunning, F. M. (2010) · Wiley eBooks · doi:10.1002/9780470669600.ch78
- Authors
- Egger, K., Schocke, M., Weiss, E., Auffinger, S., Esterhammer, R., Goebel, G., Walch, T., Mechtcheriakov, S., & Marksteiner, J.
- Affiliations
- Innsbruck Medical University (AT)
- Klinikum Klagenfurt (AT)
- Corresponding author
- Marksteiner, Josef
- Venue
- Psychiatry Research Neuroimaging
- Publisher
- Elsevier BV
- Published
- 2008-12
- Volume
- 164
- Issue
- 3
- Pages
- 237-244
- ISSN
- 0925-4927 (ISSN-L)
- OpenAlex
- W2047189322
- Cited by
- 113
- References
- 47
- Citations by year
- 2025: 3 · 2024: 5 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 5 · 2019: 8 · 2018: 3 · 2017: 4 · 2016: 6 · 2015: 9 · 2014: 9 · 2013: 15 · 2012: 13
- FWCI
- 4.44
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychiatry Research Neuroimaging (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- geriatric depression, late-onset depression, brain atrophy, gray matter volume, white matter volume, hippocampus, amygdala, medial orbitofrontal cortex, cognitive impairment, executive function, memory impairment, voxel-based morphometry
- MeSH terms
- Aged, Aged, 80 and over, Amygdala, Atrophy, Brain, Cognition Disorders, Depression, Female, Hippocampus, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Neuropsychological Tests, Prefrontal Cortex
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