Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD
Abstract
OBJECTIVE: To test the hypotheses 1) that whole-brain volume decline begins in early adulthood, 2) that cross-sectional and longitudinal atrophy estimates agree in older, nondemented individuals, and 3) that longitudinal atrophy accelerates in the earliest stages of Alzheimer disease (AD). METHODS: High-resolution, high-contrast structural MRIs were obtained from 370 adults (age 18 to 97). Participants over 65 (n = 192) were characterized using the Clinical Dementia Rating (CDR) as either nondemented (CDR 0, n = 94) or with very mild to mild dementia of the Alzheimer type (DAT, CDR 0.5 and 1, n = 98). Of these older participants, 79 belonged to a longitudinal cohort and were imaged again a mean 1.8 years after baseline. Estimates of gray matter (nGM), white matter (nWM), and whole-brain volume (nWBV) normalized for head sizes were generated based on atlas registration and image segmentation. RESULTS: Hierarchical regression of nWBV estimates from nondemented individuals across the adult lifespan revealed a strong linear, moderate quadratic pattern of decline beginning in early adulthood, with later onset of nWM than nGM loss. Whole-brain volume differences were detected by age 30. The cross-sectional atrophy model overlapped with the rates measured longitudinally in older, nondemented individuals (mean decline of -0.45% per year). In those individuals with very mild DAT, atrophy rate more than doubled (-0.98% per year). CONCLUSIONS: Nondemented individuals exhibit a slow rate of whole-brain atrophy from early in adulthood with white-matter loss beginning in middle age; in older adults, the onset of dementia of the Alzheimer type is associated with a markedly accelerated atrophy rate.
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The advantage of a longitudinal PET-MR combined study relative to cross-sectional designs has been occasionally but not consistently shown.
“Although a longitudinal PET-MR combined study would obviously be of considerable interest, the advantage of this approach relative to cross-sectional designs has been occasionally [40,65], but not consistently [27,75], shown.”
From Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging (2009) · cites this paper as [27]
The very mild/mild DAT group has significantly reduced whole brain and hippocampal volumes compared with non-demented controls.
“The very mild/mild DAT group also exhibited significantly reduced whole brain (nWBV) and hippocampal (HC) volumes, as has been reported previously.6, 27”
From Decreased cerebrospinal fluid Aβ <sub>42</sub> correlates with brain atrophy in cognitively normal elderly (2009) · cites this paper as [27]
Cites
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
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882 · see citing works
Self-citationBrain development during childhood and adolescence: a longitudinal MRI study
Giedd, J. N., Blumenthal, J., Jeffries, N. O., Castellanos, F. X., Liu, H., Zijdenbos, A., Paus, T., Evans, A. C., & Rapoport, J. L. (1999) · Nature Neuroscience · doi:10.1038/13158 · Cited by 5,552 · 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
Mapping cortical change across the human life span
Sowell, E. R., Peterson, B. S., Thompson, P. M., Welcome, S. E., Henkenius, A. L., & Toga, A. W. (2003) · Nature Neuroscience · doi:10.1038/nn1008 · Cited by 2,328 · see citing works
Thinning of the Cerebral Cortex in Aging
Salat, D. H. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh032 · Cited by 1,851 · see citing works
Mild Cognitive Impairment Represents Early-Stage Alzheimer Disease
Morris, J. C., Storandt, M., Miller, J. P., McKeel, D. W., Price, J. L., Rubin, E. H., & Berg, L. (2001) · Archives of Neurology · doi:10.1001/archneur.58.3.397 · Cited by 1,833 · see citing works
Self-citationFrequency of Stages of Alzheimer-Related Lesions in Different Age Categories
Braak, H., & Braak, E. (1997) · Neurobiology of Aging · doi:10.1016/s0197-4580(97)00056-0 · Cited by 1,656 · see citing works
Longitudinal Magnetic Resonance Imaging Studies of Older Adults: A Shrinking Brain
Resnick, S. M., Pham, D. L., Kraut, M. A., Zonderman, A. B., & Davatzikos, C. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-08-03295.2003 · Cited by 1,425 · see citing works
Pfefferbaum, A., Mathalon, D. H., Sullivan, E. V., Rawles, J. M., Zipursky, R. B., & Lim, K. O. (1994) · Archives of Neurology · doi:10.1001/archneur.1994.00540210046012 · Cited by 1,363 · see citing works
Buckner, R. L., Head, D. M., Parker, J. B., Fotenos, A. F., Marcus, D. S., Morris, J. C., & Snyder, A. Z. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.018 · Cited by 1,290 · see citing works
Self-citationRaz, N. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.268 · Cited by 1,239 · see citing works
Dynamics of Gray Matter Loss in Alzheimer's Disease
Thompson, P. M., Hayashi, K. M., de Zubicaray, G., Janke, A. L., Rose, S. E., Semple, J., Herman, D., Hong, M. S., Dittmer, S. S., Doddrell, D. M., et al. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-03-00994.2003 · Cited by 1,132 · see citing works
Courchesne, E., Chisum, H. J., Townsend, J., Cowles, A., Covington, J., Egaas, B., Harwood, M., Hinds, S., & Press, G. A. (2000) · Radiology · doi:10.1148/radiology.216.3.r00au37672 · Cited by 1,049 · see citing works
Age-related myelin breakdown: a developmental model of cognitive decline and Alzheimer’s disease
Bartzokis, G. (2004) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.03.001 · Cited by 968 · see citing works
Effects of age on tissues and regions of the cerebrum and cerebellum.
Jernigan, T., Archibald, S., Fennema-Notestine, C., Gamst, A., Stout, J. C., Bonner, J. C., & Hesselink, J. (2001) · Neurobiology of Aging · doi:10.1016/s0197-4580(01)00217-2 · Cited by 958 · see citing works
Comparison of different MRI brain atrophy rate measures with clinical disease progression in AD
Jack, C. R., Shiung, M. M., Gunter, J. L., O’Brien, P. C., Weigand, S. D., Knopman, D. S., Boeve, B. F., Ivnik, R. J., Smith, G. E., Cha, R. H., et al. (2004) · Neurology · doi:10.1212/01.wnl.0000110315.26026.ef · Cited by 827 · see citing works
Raz, N., Gunning‐Dixon, F. M., Head, D. M., Rodrigue, K. M., Williamson, A. L., & Acker, J. D. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00118-0 · Cited by 715 · see citing works
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R., Beiser, A., D’Agostino, R., & Wolf, P. A. (2005) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2004.05.004 · Cited by 680 · see citing works
Berg, L., McKeel, D. W., Miller, J. P., Storandt, M., Rubin, E. H., Morris, J. C., Baty, J., Coats, M., Norton, J., Goate, A. M., et al. (1998) · Archives of Neurology · doi:10.1001/archneur.55.3.326 · Cited by 657 · see citing works
Self-citationHead, D. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh003 · Cited by 645 · see citing works
Neuron Number in the Entorhinal Cortex and CA1 in Preclinical Alzheimer Disease
Price, J. L., Ko, A. I., Wade, M. J., Tsou, S. K., McKeel, D. W., & Morris, J. C. (2001) · Archives of Neurology · doi:10.1001/archneur.58.9.1395 · Cited by 596 · see citing works
Self-citationMapping Changes in the Human Cortex throughout the Span of Life
Sowell, E. R., Thompson, P. M., & Toga, A. W. (2004) · The Neuroscientist · doi:10.1177/1073858404263960 · Cited by 572 · see citing works
Murphy, D., Decarli, C., Mcintosh, A. R., Daly, E., Mentis, M., Pietrini, P., Szczepanik, J., Schapiro, M., Grady, C., Horwitz, B., et al. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830070031007 · Cited by 552 · see citing works
Ge, Y., Grossman, R. I., Babb, J. S., Rabin, M., Mannon, L. J., & Kolson, D. L. (2002) · PubMed Central · Cited by 528 · see citing works
White matter changes with normal aging.
Guttmann, C. R. G., Jolesz, F. A., Kikinis, R., Killiany, R. J., Moss, M. B., Sandor, T., & Albert, M. S. (1998) · Neurology · doi:10.1212/wnl.50.4.972 · Cited by 466 · see citing works
Quantitative volumetric analysis of brain MR: normative database spanning 5 decades of life.
Blatter, D. D., Bigler, E. D., Gale, S. D., Johnson, S. C., Anderson, C. V., Burnett, B. M., Parker, N., Kurth, S. M., & Horn, S. D. (1995) · PubMed Central · Cited by 454 · see citing works
Looking Backward to Move Forward: Early Detection of Neurodegenerative Disorders
DeKosky, S. T., & MAREK, K. L. (2003) · Science · doi:10.1126/science.1090349 · Cited by 403 · see citing works
Fox, N. C., & Freeborough, P. A. (1997) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880070620 · Cited by 365 · see citing works
MILLER, A. K. H., Alston, R. L., & Corsellis, J. (1980) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.1980.tb00283.x · Cited by 351 · see citing works
Neuronal changes in normal human aging and Alzheimer's disease.
Uylings, H., & de Brabander, J. D. (2002) · Brain and Cognition · doi:10.1006/brcg.2001.1500 · Cited by 260 · see citing works
Neuroimaging in Alzheimer disease: an evidence-based review
Kantarci, K., & Jack, C. R. (2003) · Neuroimaging Clinics of North America · doi:10.1016/s1052-5149(03)00025-x · Cited by 227 · see citing works
A quantitative study of cerebral atrophy in old age and senile dementia
Hubbard, B. M., & Anderson, J. M. (1981) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(81)90048-4 · Cited by 223 · see citing works
Rates of global and regional cerebral atrophy in AD and frontotemporal dementia
Chan, D., Fox, N. C., Jenkins, R., Scahill, R. I., Crum, W. R., & Rossor, M. N. (2001) · Neurology · doi:10.1212/wnl.57.10.1756 · Cited by 220 · see citing works
Effects of age and sex on volumes of the thalamus, pons, and cortex
Sullivan, E. V., Rosenbloom, M. J., Serventi, K. L., & Pfefferbaum, A. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(03)00044-7 · Cited by 217 · see citing works
Matsumae, M., Kikinis, R., Mórocz, I. Á., Lorenzo, A. V., Sándor, T., Albert, M., Black, P. M., & Jolesz, F. A. (1996) · Journal of neurosurgery · doi:10.3171/jns.1996.84.6.0982 · Cited by 215 · see citing works
Chan, D., Janssen, J. C., Whitwell, J. L., Watt, H., Jenkins, R., Frost, C. D., Rossor, M. N., & Fox, N. C. (2003) · The Lancet · doi:10.1016/s0140-6736(03)14469-8 · Cited by 204 · see citing works
Cerebral structure on MRI, part II: Specific changes in Alzheimer's and Huntington's diseases
Jernigan, T. L., Salmon, D. P., Butters, N., & Hesselink, J. R. (1991) · Biological Psychiatry · doi:10.1016/0006-3223(91)90211-4 · Cited by 198 · see citing works
Liu, R. S. N., Lemieux, L., Bell, G. S., Sisodiya, S. M., Shorvon, S. D., Sander, J. W. A. S., & Duncan, J. S. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00219-2 · Cited by 168 · see citing works
Assessing the onset of structural change in familial Alzheimer's disease
Schott, J. M., Fox, N. C., Frost, C. D., Scahill, R. I., Janssen, J. C., Chan, D., Jenkins, R., & Rossor, M. N. (2002) · Annals of Neurology · doi:10.1002/ana.10424 · Cited by 160 · see citing works
Frontal-Hippocampal Double Dissociation Between Normal Aging and Alzheimer's Disease
Head, D. M., Snyder, A. Z., Girton, L. E., Morris, J. C., & Buckner, R. L. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh174 · Cited by 158 · see citing works
Self-citationRovaris, M., Iannucci, G., Cercignani, M., Sormani, M. P., Stefano, N. D., Gerevini, S., Comi, G., & Filippi, M. (2003) · Radiology · doi:10.1148/radiol.2273020721 · Cited by 137 · see citing works
Age Dependent White Matter Lesions and Brain Volume Changes in Healthy Volunteers
Christiansen, P., Larsson, H. B. W., Thomsen, C., Wieslander, S. B., & Henriksen, O. M. (1994) · Acta Radiologica · doi:10.1177/028418519403500203 · Cited by 136 · see citing works
Difference Image vs Ratio Image Error Function Forms in PET—PET Realignment
Snyder, A. Z. (1996) · Elsevier eBooks · doi:10.1016/b978-012389760-2/50028-1 · Cited by 130 · see citing works
Self-citationDavis, P. J. M., & Wright, E. A. (1977) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.1977.tb00595.x · Cited by 117 · see citing works
Age and sex effects on brain morphology
Passe, T. J., Rajagopalan, P., Tupler, L. A., Byrum, C. E., MacFall, J. R., & Krishnan, K. (1997) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/s0278-5846(97)00160-7 · Cited by 110 · see citing works
Brain Volume Changes on Longitudinal Magnetic Resonance Imaging in Normal Older People
Tang, Y. C., Whitman, G. T., López, I. A., & Baloh, R. W. (2001) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2001.tb00068.x · Cited by 103 · see citing works
Quadratic trajectories of brain myelin content: unifying construct for neuropsychiatric disorders
Bartzokis, G. (2003) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.08.001 · Cited by 92 · see citing works
Comparison of methods for measuring longitudinal brain change in cognitive impairment and dementia
Cardenas, V. A., Du, A., Hardin, D., Ezekiel, F., Weber, P., Jagust, W. J., Chui, H. C., Schuff, N. W., & Weiner, M. W. (2003) · Neurobiology of Aging · doi:10.1016/s0197-4580(02)00130-6 · Cited by 92 · see citing works
Van Laere, K. J., & Dierckx, R. A. (2001) · Radiology · doi:10.1148/radiol.2213010295 · Cited by 67 · see citing works
Clinical outcomes of possible versus probable Alzheimer’s disease
Villareal, D. T., Grant, E., Miller, J. P., Storandt, M., McKeel, D. W., & Morris, J. C. (2003) · Neurology · doi:10.1212/wnl.61.5.661 · Cited by 35 · see citing works
Self-citationHarris, G. J., Schlaepfer, T. E., Peng, L. W., Lee, S., Federman, E. B., & Pearlson, G. D. (1994) · Neuropathology and Applied Neurobiology · doi:10.1111/j.1365-2990.1994.tb00971.x · Cited by 30 · see citing works
White matter mapping is needed
Jernigan, T. L., & Fennema‐Notestine, C. (2003) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2003.06.002 · Cited by 27 · see citing works
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Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324 · see citing works
Self-citationMarcus, D. S., Wang, T. H., Parker, J., Csernansky, J. G., Morris, J. C., & Buckner, R. L. (2007) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2007.19.9.1498 · Cited by 2,163 · see citing works
Self-citationBuckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140 · see citing works
Self-citationThe clinical use of structural MRI in Alzheimer disease
Frisoni, G. B., Fox, N. C., Jack, C. R., Scheltens, P., & Thompson, P. M. (2010) · Nature Reviews Neurology · doi:10.1038/nrneurol.2009.215 · Cited by 2,113 · see citing works
When does age-related cognitive decline begin?
Salthouse, T. A. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.09.023 · Cited by 1,848 · see citing works
Dickerson, B. C., Bakkour, A., Salat, D. H., Feczko, E., Pacheco, J., Greve, D. N., Grodstein, F., Wright, C. I., Blacker, D., Rosas, H. D., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn113 · Cited by 1,153 · see citing works
Self-citationLife-Span Changes of the Human Brain White Matter: Diffusion Tensor Imaging (DTI) and Volumetry
Westlye, L. T., Walhovd, K. B., Dale, A. M., Bjornerud, A., Due-Tonnessen, P., Engvig, A., Grydeland, H., Tamnes, C. K., Ostby, Y., & Fjell, A. M. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp280 · Cited by 765 · see citing works
History and progress of hypotheses and clinical trials for Alzheimer’s disease
Liu, P.-P., Xie, Y., Meng, X.-Y., & Kang, J.-S. (2019) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-019-0063-8 · Cited by 723 · see citing works
One-Year Brain Atrophy Evident in Healthy Aging
Fjell, A. M., Walhovd, K. B., Fennema-Notestine, C., McEvoy, L. K., Hagler, D. J., Holland, D., Brewer, J. B., & Dale, A. M. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3252-09.2009 · Cited by 692 · see citing works
Consistent neuroanatomical age-related volume differences across multiple samples
Walhovd, K. B., Westlye, L. T., Amlien, I., Espeseth, T., Reinvang, I., Raz, N., Agartz, I., Salat, D. H., Greve, D. N., Fischl, B., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2009.05.013 · Cited by 506 · see citing works
Voxel-based mapping of brain gray matter volume and glucose metabolism profiles in normal aging
Kalpouzos, G., Chételat, G., Baron, J.-C., Landeau, B., Mevel, K., Godeau, C., Barré, L., Constans, J.-M., Viader, F., Eustache, F., et al. (2009) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2007.05.019 · Cited by 392 · see citing works
Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models
Bernal-Rusiel, J. L., Greve, D. N., Reuter, M., Fischl, B., & Sabuncu, M. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.10.065 · Cited by 360 · see citing works
Cardiorespiratory fitness and brain atrophy in early Alzheimer disease.
Burns, J. M., Cronk, B. B., Anderson, H. S., Donnelly, J. E., Thomas, G. P., Harsha, A., Brooks, W. M., & Swerdlow, R. H. (2008) · Neurology · doi:10.1212/01.wnl.0000317094.86209.cb · Cited by 363 · see citing works
Fagan, A. M., Head, D., Shah, A. R., Marcus, D., Mintun, M., Morris, J. C., & Holtzman, D. M. (2009) · Annals of Neurology · doi:10.1002/ana.21559 · Cited by 327 · see citing works
“brain (nWBV) and hippocampal volumes, as has been reported previously.(6,27) To better understand the relation between the structural and fluid biomarker measures in cognitively normal elderly, we next compared the CSF and plasma measures with nWBV in nondemented individuals (Fig 1).”
MethodSelf-citationWhite matter pathology isolates the hippocampal formation in Alzheimer's disease
Salat, D. H., Tuch, D. S., van der Kouwe, A. J. W., Greve, D. N., Pappu, V., Lee, S. Y., Hevelone, N. D., Zaleta, A. K., Growdon, J. H., Corkin, S., et al. (2010) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2008.03.013 · Cited by 279 · see citing works
Sáez de Asteasu, M. L., Martínez-Velilla, N., Zambom-Ferraresi, F., Casas-Herrero, Á., & Izquierdo, M. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.05.007 · Cited by 215 · see citing works
Opposing Brain Differences in 16p11.2 Deletion and Duplication Carriers
Qureshi, A. Y., Mueller, S., Snyder, A. Z., Mukherjee, P., Berman, J. I., Roberts, T. P. L., Nagarajan, S. S., Spiro, J. E., Chung, W. K., Sherr, E. H., et al. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.1366-14.2014 · Cited by 183 · see citing works
Self-citationRizzo, L. B., Costa, L. G., Mansur, R. B., Swardfager, W., Belangero, S. I., Grassi-Oliveira, R., McIntyre, R. S., Bauer, M. E., & Brietzke, E. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.02.004 · Cited by 183 · see citing works
Relating imaging indices of white matter integrity and volume in healthy older adults
Hugenschmidt, C. E., Peiffer, A. M., Kraft, R. A., Casanova, R., Deibler, A. R., Burdette, J. H., Maldjian, J. A., & Laurienti, P. J. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm080 · Cited by 166 · see citing works
Changes in Cortical Plasticity Across the Lifespan
Freitas, C., Perez, J., Knobel, M., Tormos, J. M., Oberman, L., Eldaief, M., Bashir, S., Vernet, M., Peña-Gómez, C., & Pascual-Leone, A. (2011) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2011.00005 · Cited by 172 · see citing works
Higher RBC EPA + DHA corresponds with larger total brain and hippocampal volumes: WHIMS-MRI Study
Pottala, J. V., Yaffe, K., Robinson, J. G., Espeland, M. A., Wallace, R., & Harris, W. S. (2014) · Neurology · doi:10.1212/wnl.0000000000000080 · Cited by 169 · see citing works
Burns, J. M., Church, J. A., Johnson, D. K., Xiong, C., Marcus, D., Fotenos, A. F., Snyder, A. Z., Morris, J. C., & Buckner, R. L. (2005) · Archives of Neurology · doi:10.1001/archneur.62.12.1870 · Cited by 155 · see citing works
Circulating cortisol and cognitive and structural brain measures: The Framingham Heart Study
Echouffo-Tcheugui, J. B., Conner, S. C., Himali, J. J., Maillard, P., DeCarli, C. S., Beiser, A. S., Vasan, R. S., & Seshadri, S. (2018) · Neurology · doi:10.1212/wnl.0000000000006549 · Cited by 139 · see citing works
Bernal-Rusiel, J. L., Reuter, M., Greve, D. N., Fischl, B., & Sabuncu, M. R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.049 · Cited by 125 · see citing works
White matter lesions and brain atrophy: more than shared risk factors? A systematic review
Appelman, A. P. A., Exalto, L. G., van der Graaf, Y., Biessels, G. J., Mali, W. P. T. M., & Geerlings, M. I. (2009) · Cerebrovascular Diseases · doi:10.1159/000226774 · Cited by 130 · see citing works
Schultz, S. A., Oh, J. M., Koscik, R. L., Dowling, N. M., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., LaRue, A., Hermann, B. P., Rowley, H. A., et al. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2014.11.010 · Cited by 117 · see citing works
Steffener, J., Reuben, A., Rakitin, B. C., & Stern, Y. (2011) · Brain Imaging and Behavior · doi:10.1007/s11682-011-9125-4 · Cited by 113 · see citing works
Telomerase and telomeres in aging theory and chronographic aging theory (Review)
Razgonova, M., Zakharenko, A., Golokhvast, K., Thanasoula, M., Sarandi, E., Nikolouzakis, K., Fragkiadaki, P., Tsoukalas, D., Spandidos, D., & Tsatsakis, A. (2020) · Molecular Medicine Reports · doi:10.3892/mmr.2020.11274 · Cited by 89 · see citing works
The impact of age-related changes on working memory functional activity
Steffener, J., Brickman, A. M., Rakitin, B. C., Gazes, Y., & Stern, Y. (2009) · Brain Imaging and Behavior · doi:10.1007/s11682-008-9056-x · Cited by 75 · see citing works
Longitudinal Grey and White Matter Changes in Frontotemporal Dementia and Alzheimer’s Disease
Frings, L., Yew, B., Flanagan, E., Lam, B. Y. K., Hüll, M., Huppertz, H.-J., Hodges, J. R., & Hornberger, M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0090814 · Cited by 69 · see citing works
Dadar, M., Camicioli, R., Duchesne, S., Collins, D. L., & Initiative, F. T. A. D. N. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12091 · Cited by 64 · see citing works
Clinical Epidemiology, Risk Factors, and Outcomes of Encephalitis in Older Adults
Hansen, M. A., Samannodi, M. S., Castelblanco, R. L., & Hasbun, R. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciz635 · Cited by 48 · see citing works
Diagnostic biomarkers in Alzheimer’s disease
Andersen, E., Casteigne, B., Chapman, W. D., Creed, A., Foster, F., Lapins, A., Shatz, R., & Sawyer, R. P. (2021) · Biomarkers in Neuropsychiatry · doi:10.1016/j.bionps.2021.100041 · Cited by 42 · see citing works
Frings, L., Mader, I., Landwehrmeyer, B. G., Weiller, C., Hüll, M., & Huppertz, H. (2012) · Human Brain Mapping · doi:10.1002/hbm.21304 · Cited by 38 · see citing works
Daulatzai, M. A. (2015) · Neurotoxicity Research · doi:10.1007/s12640-015-9528-x · Cited by 12 · see citing works
Episodic Memory in Healthy Older Adults: The Role of Prefrontal and Parietal Cortices
Rajah, M. N., Maillet, D., & Grady, C. L. (2015) · The Wiley Handbook on the Cognitive Neuroscience of Memory · doi:10.1002/9781118332634.ch17 · Cited by 9 · see citing works
Aging Mindfully to Minimize Cognitive Decline
Kurth, F., Cherbuin, N., & Luders, E. (2017) · Journal of Cognitive Enhancement · doi:10.1007/s41465-017-0027-2 · Cited by 10 · see citing works
- Authors
- Fotenos, A. F., Snyder, A. Z., Girton, L. E., Morris, J. C., & Buckner, R. L.
- Affiliations
- Howard Hughes Medical Institute (US)
- Venue
- Neurology
- Published
- 2005-03-22
- Volume
- 64
- Issue
- 6
- Pages
- 1032-1039
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2084177652
- Cited by
- 579
- References
- 54
- Citations by year
- 2026: 17 · 2025: 26 · 2024: 26 · 2023: 28 · 2022: 37 · 2021: 31 · 2020: 43 · 2019: 39 · 2018: 18 · 2017: 26 · 2016: 26 · 2015: 28 · 2014: 30 · 2013: 20 · 2012: 25
- FWCI
- 10.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neurology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P 50 AG05681, P50AG005681, P01 AG0 3991, P01AG003991)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Keywords
- brain atrophy, Alzheimer's disease, aging, white matter loss, gray matter loss, total brain volume, mild cognitive impairment, dementia onset
- MeSH terms
- Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Atrophy, Brain, Brain Mapping, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Reference Values, Regression Analysis, Disease Progression
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