Brain tissue volumes in the general population of the elderly. The AGES-Reykjavik Study.

NeuroImage

Volumn 59, Issue 4, 2012, Pages 3862-3870

  Sigurdsson, Sigurdur ^a   Aspelund, Thor ^a,b   Forsberg, Lars ^a   Fredriksson, Jesper ^c   Kjartansson, Olafur ^a   Oskarsdottir, Bryndis ^a   Jonsson, Palmi V ^a,b   Eiriksdottir, Gudny ^a   Harris, Tamara B ^f   Zijdenbos, Alex ^d   Van Buchem, Mark A ^e   Launer, Lenore J ^f   Gudnason, Vilmundur ^a,b  

^a ICELANDIC HEART ASSOCIATION   (Iceland)

^b UNIVERSITY OF ICELAND   (Iceland)

^c Raforninn Inc   (Iceland)

^d INSTITUTE FOR RESEARCH IN IMMUNOLOGY AND CANCER   (Canada)

^e LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^f NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

AGES Reykjavik study; Atrophy; Brain volume; Magnetic resonance imaging; Population based; White matter hyperintensities

Indexed keywords

AGE; AGED; ARTICLE; BRAIN ATROPHY; BRAIN PARENCHYMA; BRAIN SIZE; BRAIN TISSUE; CLINICAL STUDY; COHORT ANALYSIS; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DEMENTIA; FEMALE; GERIATRICS; HUMAN; IMAGE ANALYSIS; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MINI MENTAL STATE EXAMINATION; PARENCHYMA; PRIORITY JOURNAL; SEX; SEX DIFFERENCE;

EID: 84855293825     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.11.024     Document Type: Article

References (45)

1. Allen J.S., Bruss J., Brown C.K., Damasio H. Normal neuroanatomical variation due to age: the major lobes and a parcellation of the temporal region. Neurobiology of Aging 2005, 26:1245-1260.
2. Barnes J., Ridgway G.R., Bartlett J., Henley S.M.D., Lehmann M., Hobbs N., Clarkson M.J., MacManus D.G., Ourselin S., Fox N.C. Head size, age and gender adjustment in MRI studies: a necessary nuisance?. NeuroImage 2010, 53:1244-1255.
3. Brickman A.M., Schupf N., Manly J.J., Luchsinger J.A., Andrews H., Tang M.X., Reitz C., Small S.A., Mayeux R., DeCarli C., Brown T.R. Brain morphology in older African Americans, Caribbean Hispanics, and Whites from Northern Manhattan. Arch. Neurol. 2008, 65:1053-1061.
4. Cardenas V.A., Ezekiel F., Di Sclafani V., Gomberg B., Fein G. Reliability of tissue volumes and their spatial distribution for segmented magnetic resonance images. Psychiatry Research: Neuroimaging 2001, 106:193-205.
5. Clarkson M.J., Ourselin S., Nielsen C., Leung K.K., Barnes J., Whitwell J.L., Gunter J.L., Hill D.L.G., Weiner M.W., Jack C.R., Fox N.C. Comparison of phantom and registration scaling corrections using the ADNI cohort. NeuroImage 2009, 47:1506-1513.
6. Courchesne E., Chisum H.J., Townsend J., Cowles A., Covington J., Egaas B., Harwood M., Hinds S., Press G.A. Normal brain development and aging: quantitative analysis at in vivo MR imaging in healthy volunteers. Radiology 2000, 216:672-682.
7. DeCarli C., Massaro J., Harvey D., Hald J., Tullberg M., Au R., Beiser A., D'Agostino R., Wolf P.A. Measures of brain morphology and infarction in the Framingham heart study: establishing what is normal. Neurobiology of Aging 2005, 26:491-510.
8. Enzinger C., Fazekas F., Matthews P.M., Ropele S., Schmidt H., Smith S., Schmidt R. Risk factors for progression of brain atrophy in aging: six-year follow-up of normal subjects. Neurology 2005, 64:1704-1711.
9. Fjell A.M., Walhovd K.B., Fennema-Notestine C., McEvoy L.K., Hagler D.J., Holland D., Brewer J.B., Dale A.M. One-year brain atrophy evident in healthy aging. J. Neurosci. 2009, 29:15223-15231.
10. Fotenos A.F., Snyder A.Z., Girton L.E., Morris J.C., Buckner R.L. Normative estimates of cross-sectional and longitudinal brain volume decline in aging and AD. Neurology 2005, 64:1032-1039.
11. Fox N.C., Ridgway G.R., Schott J.M. Algorithms, atrophy and Alzheimer's disease: cautionary tales for clinical trials. NeuroImage 2011, 57:15-18.
12. Ge Y., Grossman R.I., Babb J.S., Rabin M.L., Mannon L.J., Kolson D.L. Age-related total gray matter and white matter changes in normal adult brain. Part I: volumetric MR imaging analysis. AJNR Am J Neuroradiol 2002, 23:1327-1333.
13. Godin O., Maillard P., Crivello F., Alpérovitch A., Mazoyer B., Tzourio C., Dufouil C. Association of white-matter lesions with brain atrophy markers: the three-city Dijon MRI study. Cerebrovasc. Dis. 2009, 28:177-184.
14. Good C.D., Johnsrude I.S., Ashburner J., Henson R.N.A., Friston K.J., Frackowiak R.S.J. A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage 2001, 14:21-36.
15. Greenberg D.L., Messer D.F., Payne M.E., MacFall J.R., Provenzale J.M., Steffens D.C., Krishnan R.R. Aging, gender, and the elderly adult brain: an examination of analytical strategies. Neurobiology of Aging 2008, 29:290-302.
16. Guttmann C.R.G., Jolesz F.A., Kikinis R., Killiany R.J., Moss M.B., Sandor T., et al. White matter changes with normal aging. Neurology 1998, 50:972-978.
17. Harris G.J., Schlaepfer E., Peng L.W., Lee S., Federman E.B., Pearlson G.D. Magnetic resonance imaging evaluation of the effects of ageing on grey-white ratio in the human brain. Neuropatholgy and Applied Neurobiology 1994, 20:290-293.
18. Harris T.B., Launer L.J., Eiriksdottir G., Kjartansson O., Jonsson P.V., Sigurdsson G., Thorgeirsson G., Aspelund T., Garcia M.E., Cotch M.F., Hoffman H.J., Gudnason V. Age, gene/environment susceptibility-Reykjavik Study: multidisciplinary applied phenomics. Am. J. Epidemiol. 2007, 165:1076-1087. for the Age GES-RSI.
19. Hua X., Gutman B., Boyle C.P., Rajagopalan P., Leow A.D., Yanovsky I., Kumar A.R., Toga A.W., Jack C.R., Schuff N., Alexander G.E., Chen K., Reiman E.M., Weiner M.W., Thompson P.M. Accurate measurement of brain changes in longitudinal MRI scans using tensor-based morphometry. NeuroImage 2011, 57:5-14.
20. Ikram M.A., Vrooman H.A., Vernooij M.W., van der Lijn F., Hofman A., van der Lugt A., Niessen W.J., Breteler M.M.B. Brain tissue volumes in the general elderly population: the Rotterdam Scan Study. Neurobiology of Aging 2008, 29:882-890.
21. Jernigan T.L., Gamst A.C. Changes in volume with age-consistency and interpretation of observed effects. Neurobiology of Aging 2005, 26:1271-1274.
22. Jernigan T.L., Archibald S.L., Fennema-Notestine C., Gamst A.C., Stout J.C., Bonner J., Hesselink J.R. Effects of age on tissues and regions of the cerebrum and cerebellum. Neurobiology of aging 2001, 22:581-594.
23. Mazziotta J., AT, Evans A., Fox P., Lancaster J., Zilles K., Woods R., Paus T., Simpson G., Pike B., Holmes C., Collins L., Thompson P., MacDonald D., Iacoboni M., Schormann T., Amunts K., Palomero-Gallagher N., Geyer S., Parsons L., Narr K., Kabani N., Le Goualher G., Boomsma D., Cannon T., Kawashima R., Mazoyer B. Stereotaxic registration of the MRI volumes was achieved using the CBM152 linear target. Philos Trans R Soc Lond B Biol Sci 2001, 356:1293-1322.
24. Pfefferbaum A., Mathalon D.H., Sullivan E.V., Rawles J.M., Zipursky R.B., Lim K.O. A quantitative magnetic resonance imaging study of changes in brain morphology from infancy to late adulthood. Arch. Neurol. 1994, 51:874-877.
25. Raz N., Rodrigue K.M., Kennedy K.M., Head D., Gunning-Dixon F., Acker J.D. Differential aging of the human striatum: longitudinal evidence. AJNR Am J Neuroradiol 2003, 24:1849-1856.
26. Raz N., Lindenberger U., Rodrigue K.M., Kennedy K.M., Head D., Williamson A., Dahle C., Gerstorf D., Acker J.D. Regional brain changes in aging healthy adults: general trends, individual differences and modifiers. Cerebral Cortex 2005, 15:1676-1689.
27. Resnick S.M., Goldszal A.F., Davatzikos C., Golski S., Kraut M.A., Metter E.J., Bryan R.N., Zonderman A.B. One-year age changes in MRI brain volumes in older adults. Cereb. Cortex 2000, 10:464-472.
28. Resnick S.M., Pham D.L., Kraut M.A., Zonderman A.B., Davatzikos C. Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain. J. Neurosci. 2003, 23:3295-3301.
29. Reuter M., Fischl B. Avoiding asymmetry-induced bias in longitudinal image processing. NeuroImage 2011, 57:19-21.
30. Saczynski J.S., Sigurdsson S., Jonsdottir M.K., Eiriksdottir G., Jonsson P.V., Garcia M.E., Kjartansson O., Lopez O., van Buchem M.A., Gudnason V., Launer L.J. Cerebral infarcts and cognitive performance: importance of location and number of infarcts. Stroke 2009, 40:677-682.
31. Scahill R.I., Frost C., Jenkins R., Whitwell J.L., Rossor M.N., Fox N.C. A longitudinal study of brain volume changes in normal aging using serial registered magnetic resonance imaging. Arch. Neurol. 2003, 60:989-994.
32. Schaie W. A general model for the study of development problems. Psychol. Bull. 1965, 64:92-107.
33. Sled J., Zijdenbos A., Evans A. A comparison of retrospective intensity non-uniformity correction methods for MRI. Information Processing in Medical Imaging 1997, 459-464.
34. Sluimer J.D., Bouwman F.H., Vrenken H., Blankenstein M.A., Barkhof F., van der Flier W.M., Scheltens P. Whole-brain atrophy rate and CSF biomarker levels in MCI and AD: a longitudinal study. Neurobiology of Aging 2010, 31:758-764.
35. Smith S.M. Fast robust automated brain extraction. Human Brain Mapping 2002, 17:143-155.
36. Taki Y., Goto R., Evans A., Zijdenbos A., Neelin P., Lerch J., Sato K., Ono S., Kinomura S., Nakagawa M., Sugiura M., Watanabe J., Kawashima R., Fukuda H. Voxel-based morphometry of human brain with age and cerebrovascular risk factors. Neurobiology of Aging 2004, 25:455-463.
37. Tang Y., Whitman G.T., Lopez I., Baloh R.W. Brain volume changes on longitudinal magnetic resonance imaging in normal older people. J. Neuroimaging 2001, 11:393-400.
38. The American Psychiatric Association Diagnostic and Statistical Manual of Mental Disorders, (4th ed.,text revision) 2000, The American Psychiatric Association, Washington, DC.
39. Thompson W.K., Holland D. Bias in tensor based morphometry Stat-ROI measures may result in unrealistic power estimates. NeuroImage 2011, 57:1-4.
40. 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., Toga A.W. Dynamics of gray matter loss in Alzheimer's Disease. J. Neurosci. 2003, 23:994-1005.
41. Walhovd K.B., Fjell A.M., Reinvang I., Lundervold A., Dale A.M., Eilertsen D.E., Quinn B.T., Salat D., Makris N., Fischl B. Effects of age on volumes of cortex, white matter and subcortical structures. Neurobiology of Aging 2005, 26:1261-1270.
42. WHO International Statistical Classification of Diseases and Related Health Problems, 10th Revision. Geneva 1992.
43. Xu J., Kobayashi S., Yamaguchi S., K-i Iijima, Okada K., Yamashita K. Gender effects on age-related changes in brain structure. AJNR Am J Neuroradiol 2000, 21:112-118.
44. Zijdenbos A.P., Dawant B.M., Margolin R.A., Palmer A.C. Morphometric analysis of white matter lesions in MR images: method and validation. IEEE Trans. Med. Imaging 1994, 13:716-724.
45. Zijdenbos A.P., Forghani R., Evans A.C. Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosis. IEEE Trans. Med. Imaging 2002, 21:1280-1292.