Neurobiology of Aging
Volume 28, Issue 3 , Pages 389-397 , March 2007

Ventricular volume and dementia progression in the Cardiovascular Health Study

  • Owen T. Carmichael

      Affiliations

    • Neurology Department, University of California, Davis, Davis CA 95616, USA
    • Corresponding Author InformationCorresponding author at: Neurology Department, University of California, Davis, Center For Neuroscience, 1544 Newton Court, Davis, CA, 95616, USA. Tel.: +1 412 908 0630; fax: +1 916 734 6525.
    • ,
  • Lewis H. Kuller

      Affiliations

    • Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
    • ,
  • Oscar L. Lopez

      Affiliations

    • Neurology Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • ,
  • Paul M. Thompson

      Affiliations

    • Neurology Department, University of California, Los Angeles, Los Angeles, CA, 90095, USA
    • ,
  • Rebecca A. Dutton

      Affiliations

    • Neurology Department, University of California, Los Angeles, Los Angeles, CA, 90095, USA
    • ,
  • Allen Lu

      Affiliations

    • Neurology Department, University of California, Los Angeles, Los Angeles, CA, 90095, USA
    • ,
  • Sharon E. Lee

      Affiliations

    • Neurology Department, University of California, Los Angeles, Los Angeles, CA, 90095, USA
    • ,
  • Jessica Y. Lee

      Affiliations

    • Neurology Department, University of California, Los Angeles, Los Angeles, CA, 90095, USA
    • ,
  • Howard J. Aizenstein

      Affiliations

    • Psychiatry Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • ,
  • Carolyn Cidis Meltzer

      Affiliations

    • Neurology Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • Psychiatry Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • Departments of Radiology, Neurology, and Psychiatry, Emory University, Atlanta, GA 30322, USA
    • ,
  • Yanxi Liu

      Affiliations

    • The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA
    • Radiology Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • ,
  • Arthur W. Toga

      Affiliations

    • Neurology Department, University of California, Los Angeles, Los Angeles, CA, 90095, USA
    • ,
  • James T. Becker

      Affiliations

    • Neurology Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • Psychiatry Department, University of Pittsburgh, Pittsburgh, PA 15213, USA
    • Psychology Department, University of Pittsburgh, Pittsburgh, PA 15213, USA

Received 19 September 2005 ,Revised 28 December 2005 ,Accepted 21 January 2006.

References 

  1. Adak S, Illouz K, Gorman W, Tandon R, Zimmerman E, Guariglia R, et al. Predicting the rate of cognitive decline in aging and early Alzheimer disease. Neurology. 2004;63(1):108–114
  2. Anstey K, Maller J. The role of volumetric MRI in understanding mild cognitive impairment and similar classifications. Aging Ment Health. 2003;7(4):238–250
  3. Breteler M, van Amerongen N, van Swieten J, Claus J, Grobbee D, van Gijn J, et al. Cognitive correlates of ventricular enlargement and cerebral white matter lesions on magnetic resonance imaging. The Rotterdam study. Stroke. 1994;25(6):1109–1115
  4. Bryan R, Manolio T, Schertz L, Jungreis C, Poirier V, Elster A, et al. A method for using MR to evaluate the effects of cardiovascular disease on the brain: the cardiovascular health study. Am J Neurorad. 1994;15:1625–1633
  5. Carmichael OT, Aizenstein HA, Davis SW, Becker JT, Thompson PM, Meltzer CC, et al. Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment. NeuroImage. 2005;27(4):979–990
  6. Carmichael OT, Thompson PM, Dutton RA, Lu A, Lee SE, Lee JY, et al. Fully-automated segmentation of lateral ventricles in aids patients. Under editorial review. J Magn Res Imaging. 2005;
  7. Chen M. 3-D Deformable Registration Using a Statistical Atlas with Applications in Medicine. PhD Thesis, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA, 1999.
  8. Chetelat G, Baron J-C. Early diagnosis of Alzheimer's disease: contribution of structural neuroimaging. Neuroimage. 2003;18:525–541
  9. Convit A, de Asis J, de Leon MJ, Tarshish CY, Santi SD, Rusinek H. Atrophy of the medial occipitotemporal, inferior, and middle temporal gyri in non-demented elderly predict decline to Alzheimer's disease. Neurobiol Aging. 2000;21(1):19–26
  10. de Leon M, George A, Reisberg B. Alzheimer's disease: longitudinal ct studies of ventricular change. Am J Roentgenol. 1989;152:1257–1262
  11. de Leon MJ, Convit A, Wolf OT, Tarshish CY, DeSanti S, Rusinek H, et al. Prediction of cognitive decline in normal elderly subjects with 2-[18f]fluoro-2-deoxy-d-glucose/positron-emission tomography (fdg/pet). Proc Natl Acad Sci. 2001;98(19):10966–10971
  12. DeCarli C, Haxby J, Gillette J, Teichberg D, Rapoport S, Schapiro M. Longitudinal changes in lateral ventricular volume in patients with dementia of the Alzheimer type. Neurology. 1992;42:2029–2036
  13. DeCarli C, Mungas D, Harvey D, Reed B, Weiner M, Chui H, et al. Memory impairment, but not cerebrovascular disease, predicts progression of MCI to dementia. Neurology. 2004;63(2):220–227
  14. Du A, Schuff N, Amend D, Laakso M, Hsu Y, Jagust W, et al. Magnetic resonance imaging of the entorhinal cortex and hippocampus in mild cognitive impairment and Alzheimer's disease. J Neurol Neurosurg Psychiatry. 2001;71(4):441–447
  15. Du A, Schuff N, Laakso M, Zhu X, Jagust W, Yaffe K, et al. Effects of subcortical ischemic vascular dementia and ad on entorhinal cortex and hippocampus. Neurology. 2002;58(11):1635–1641
  16. Fischl B, Salat D, Busa E, Albert M, Dieterich M, Haselgrove C, et al. Whole brain segmentation: automated labeling of neuroanatomical structures in the human brain. Neuron. 2002;33:341–355
  17. Foundas A, Zipin D, Browning C. Age-related changes of the insular cortex and lateral ventricles: conventional MRI volumetric measures. J Neuroimaging. 1998;8:216–221
  18. Fox N, Warrington E, Rossor M. Serial magnetic resonance imaging of cerebral atrophy in preclinical Alzheimer's disease. Lancet. 1999;353:21–25
  19. Ganguli M, Dodge HH, Shen C, DeKosky ST. Mild cognitive impairment, amnestic type: an epidemiologic study. Neurology. 2004;63(1):115–121
  20. Geuze E, Vermetten E, Bremner J. MR-based in vivo hippocampal volumetrics: 2. findings in neuropsychiatric disorders. Mol Psych. 2004;
  21. Good C, Johnsrude I, Ashburner J, Henson R, Friston K, Frackowiak R. A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage. 2001;14(1 Part 1):21–36
  22. Horn JV, McManus I. Ventricular enlargement in schizophrenia: a meta-analysis of studies of ventricles: brain ratio (vbr). Br J Psychiatry. 1992;160:687–697
  23. Hsu Y, Schuff N, Amend D, Du A, Norman D, Chui H, et al. Quantitative magnetic resonance imaging differences between Alzheimer disease with and without subcortical lacunes. Alzheimer Dis Assoc Disord. 2002;16(2):58–64
  24. Jack C, Petersen R, Xu Y, Smith POG, Ivnik R, Tangalos E, et al. Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease. Neurology. 1998;51(4):993–999
  25. Mosley TH, Knopman DS, Catellier DJ, Bryan N, Hutchinson RG, Grothues CA, et al. Cerebral MRI findings and cognitive functioning: The atherosclerosis risk in communities study. Neurology. 2005;64(12):
  26. Longstreth W, Arnold AM, Manolio TA, Burke GL, Bryan N, Jungreis CA, et al. For the Cardiovascular Health Study Collaborative Research Group. Clinical correlates of ventricular and sulcal size on cranial magnetic resonance imaging of 3301 elderly people: the cardiovascular health study. Neuroepidemiology. 2000;19(1):30–42
  27. Killiany R, Hyman B, Gomez-Isla T, Moss M, Kikinis R, Jolesz F, et al. MRI measures of entorhinal cortex vs. hippocampus in preclinical ad. Neurology. 2002;58(8):1188–1196
  28. Kuller L, Shemanski L, Manolio T, Haan M, Fried L, Bryan N, et al. Relationship between APOE, MRI findings, and cognitive function in the cardiovascular health study. Stroke. 1998;29(2):388–398
  29. Kuller LH, Lopez OL, Newman A, Beauchamp NJ, Burke G, Dulberg C, et al. Risk factors for dementia in the cardiovascular health cognition study. Neuroepidemiology. 2003;22(1):13–22
  30. Longstreth W, Bernick C, Manolio T, Bryan N, Jungreis C, Price T. Lacunar infarcts defined by magnetic resonance imaging of 3660 elderly people. Arch Neurol. 1998;55:1217–1225
  31. Lopez O, Jagust W, Becker SDJ, Fitzpatrick A, Dulberg C, Breitner J, et al. Prevalence and classification of mild cognitive impairment in the cardiovascular health study cognition study. Part 1. Arch Neurol. 2003;60(10):1385–1389
  32. Lopez OL, Jagust WJ, Dulberg C, Becker JT, DeKosky ST, Fitzpatrick A, et al. Risk factors for mild cognitive impairment in the cardiovascular health study cognition study. Part 2. Arch Neurol. 2003;60(10):1394–1399
  33. Lopez OL, Kuller LH, Fitzpatrick A, Ives D, Becker JT, Beauchamp N. Evaluation of dementia in the cardiovascular health cognition study. Neuroepidemiology. 2003;22(1):1–12
  34. Luxenberg J, Haxby J, Creasey H, Sundaram M, Rapoport S. Rate of ventricular enlargement in dementia of the Alzheimer type correlates with rate of neuropsychological deterioration. Neurology. 1987;37:1135–1140
  35. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan E. Clinical diagnosis of Alzheimer's disease: report of the NINCDS-ADRDA work group under the auspices of the department of health and human services task force on Alzheimer's disease. Neurology. 1984;34:939–944
  36. Narr KL, Thompson P, Sharma T, Moussai J, Blanton R, Anvar B, et al. Three-dimensional mapping of temporo-limbic regions and the lateral ventricles in schizophrenia: gender effects. Biol Psychiatry. 2001;50:84–97
  37. Prins N, van Dijk E, den Heijer T, Vermeer S, Koudstaal P, Oudkerk M, et al. Cerebral white matter lesions and the risk of dementia. Arch Neurol. 2004;61(10):1503–1504
  38. Rosenthal R, Rosnow RL, Rubin DB. Contrasts and effect sizes in behavioral research : a correlational approach. Cambridge, UK.: Cambridge University Press; 2000;
  39. Silbert L, Quinn J, Moore M, Corbridge E, Ball M, Murdoch G, et al. Changes in premorbid brain volume predict Alzheimer's disease pathology. Neurology. 2003;61(4):487–492
  40. Smith S. Fast robust automated brain extraction. Human Brain Mapping. 2002;17(3):143–155
  41. Smith S, Brady J. SUSAN – a new approach to low level image processing. IJCV. 1997;23(1):45–78
  42. Stoub TR, Bulgakova M, Leurgans S, Bennett DA, Fleischman D, Turner DA, et al. MRI predictors of risk of incident Alzheimer disease. a longitudinal study. Neurology. 2005;64(9):1520–1524
  43. Thompson P, Hayashi K, de Zubicaray G, Janke A, Rose S, Semple J, et al. Mapping hippocampal and ventricular change in Alzheimer's disease. NeuroImage. 2004;22(4):1754–1766
  44. Vermeer S, Prins N, den Heijer T, Hofman A, Koudstaal P, Breteler M. Silent brain infarcts and the risk of dementia and cognitive decline. N Engl J Med. 2003;348(13):1215–1222
  45. Visser P, Verhey F, Hofman P, Scheltens P, Jolles J. Medial temporal lobe atrophy predicts Alzheimer's disease in patients with minor cognitive impairment. J Neurol Neurosurg Psychiatry. 2002;72(4):491–497
  46. Walhovd K, Fjell A, Reinvang I, Lundervold A, Eilertsen ADD, Quinn B, et al. Effects of age on volumes of cortex, white matter and subcortical structures. Neurobiol Aging. 2005;26(9):1261–1270
  47. Yue N, Arnold AWL, Elster A, Jungreis C, O’Leary D, Poirier V, et al. Sulcal, ventricular, and white matter changes at mr imaging in the aging brain: data from the cardiovascular health study. Radiology. 1997;202:33–39

PII: S0197-4580(06)00011-X

doi: 10.1016/j.neurobiolaging.2006.01.006

Neurobiology of Aging
Volume 28, Issue 3 , Pages 389-397 , March 2007

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