Hostname: page-component-78c5997874-mlc7c Total loading time: 0 Render date: 2024-11-19T09:31:38.709Z Has data issue: false hasContentIssue false
  • English
  • Français

Profile of hippocampal volumes and stroke risk varies by neuropsychological definition of mild cognitive impairment

Published online by Cambridge University Press:  01 November 2009

AMY J. JAK ,
STEPHANIE URBAN ,
ASHLEY McCAULEY ,
KATHERINE J. BANGEN ,
LISA DELANO-WOOD ,
JODY COREY-BLOOM  and
MARK W. BONDI
AMY J. JAK*
Affiliation:
Research Service, VA San Diego Healthcare System, San Diego, California Department of Psychiatry, University of California, San Diego, San Diego, California
STEPHANIE URBAN
Affiliation:
Ohio University College of Osteopathic Medicine, Athens, Ohio
ASHLEY McCAULEY
Affiliation:
Veterans Medical Research Foundation, San Diego, California
KATHERINE J. BANGEN
Affiliation:
University of California, San Diego/San Diego State University Joint Doctoral Program, San Diego, California
LISA DELANO-WOOD
Affiliation:
Research Service, VA San Diego Healthcare System, San Diego, California Department of Psychiatry, University of California, San Diego, San Diego, California
JODY COREY-BLOOM
Affiliation:
Department of Neurosciences, University of California, San Diego, San Diego, California Neurology Service, VA San Diego Healthcare System, San Diego, California
MARK W. BONDI
Affiliation:
Department of Psychiatry, University of California, San Diego, San Diego, California Psychology Service, VA San Diego Healthcare System, San Diego, California
*
*Correspondence and reprint requests to: Amy J. Jak, VA San Diego Healthcare System, 3350 La Jolla Village Drive (151B), San Diego, California 92161. E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

Wide-ranging conceptual and diagnostic approaches to defining mild cognitive impairment (MCI) have led to highly variable prevalence and progression rates. We sought to examine whether bilateral hippocampal volumes and cerebrovascular risk factors in individuals characterized by two different neuropsychological definitions of MCI subtypes would also differ. Participants were 65 nondemented, community-dwelling, older adults, ages 62–91 years, drawn from a larger group of individuals enrolled in a longitudinal study of normal aging. A comprehensive neuropsychological definition of MCI that required the presence of more than one impaired score in a cognitive domain resulted in expected anatomical results; hippocampal volumes were significantly smaller in the aMCI group as compared to cognitively normal or nonamnestic MCI participants. However, a typical definitional scheme for classifying MCI based only on the presence of one impaired score within a cognitive domain did not result in hippocampal differences between groups. Global stroke risk factors did not differ between the two definitional schemes, although the relationship between stroke risk variables and neuropsychological performance did vary by diagnostic approach. The comprehensive approach demonstrated associations between stroke risk and cognition, whereas the typical approach did not. Use of more sophisticated clinical decision-making and diagnostic approaches that incorporate comprehensive neuropsychological assessment techniques is supported by this convergence of neuropsychological, neuropathological, and stroke risk findings. (JINS, 2009, 15, 890–897.)

Keywords

Mild cognitive impairmentNeuroimagingNeuropsychologyOlder adultsMemoryExecutive functioningStroke riskDiagnosisAmnesticNonamnestic
Type
MCI Series
Information
Journal of the International Neuropsychological Society , Volume 15 , Issue 6 , November 2009 , pp. 890 - 897
Copyright
Copyright © The International Neuropsychological Society 2009

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Becker, J.T., Davis, S.W., Hayashi, K.M., Meltzer, C.C., Toga, A.W., Lopez, O.L., & Thompson, P.M. (2006). Three-dimensional patterns of hippocampal atrophy in mild cognitive impairment. Archives of Neurology, 63, 97–101.Google Scholar
Bell-McGinty, S., Lopez, O.L., Meltzer, C.C., Scanlon, J.M., Whyte, E.M., DeKosky, S.T., & Becker, J.T. (2005). Differential cortical atrophy in subgroups of mild cognitive impairment. Archives of Neurology, 62, 1393–1397.Google Scholar
Bigler, E.D. & Tate, D.F. (2001). Brain volume, intracranial volume, and dementia. Investigative Radiology, 36, 539–546.Google Scholar
Busse, A., Hensel, A., Guhne, U., Angermeyer, M.C., & Riedal-Heller, S.G. (2006). Mild cognitive impairment: Long-term course of four clinical subtypes. Neurology, 67, 2176–2185.CrossRefGoogle ScholarPubMed
Cechetto, D.F., Hachinski, V., & Whitehead, S.N. (2008). Vascular risk factors and Alzheimers disease. Expert Review of Neurotherapeutics, 8, 743–750.CrossRefGoogle Scholar
D’Agostino, R.B., Wolf, P.A., Belanger, A.J., & Kannel, W.B. (1994). Stroke risk profile: Adjustment for antihypertensive medication. The Framingham study. Stroke, 25, 40–43.Google Scholar
Delano-Wood, L., Bondi, M.W., Jak, A.J., Stricker, N.R., Schweinsburg, B.C., Frank, L.R., Wierenga, C.E., Delis, D.C., Theilmann, R.J., & Salmon, D.P. (2009). Stroke risk modifies regional white matter differences in mild cognitive impairment. Neurobiology of Aging (in press, epub ahead of print).Google Scholar
Delis, D.C., Kaplan, E., & Kramer, J.H. (2001). Delis-Kaplan Executive Function System (D-KEFS). San Antonio, TX: Psychological Corporation.Google Scholar
Delis, D.C., Kramer, J.H., Kaplan, E., & Ober, B.A. (1987). The California Verbal Learning Test. New York, NY: Psychological Corporation.Google Scholar
Di Carlo, A., Lamassa, M., Baldereschi, M., Inzitari, M., Scafato, E., Farchi, G., & Inzitari, D. (2007). CIND and MCI in the Italian elderly: Frequency, vascular risk factors, progression to dementia. Neurology, 68, 1909–1916.CrossRefGoogle ScholarPubMed
Eckerström, C., Olsson, E., Borga, M., Ekholm, S., Ribbelin, S., Rolstad, S., Starck, G., Edman, A., Wallin, A., & Malmgren, H. (2008). Small baseline volume of left hippocampus is associated with subsequent conversion of MCI into dementia: The Göteborg MCI study. Journal of the Neurological Sciences, 272, 48–59.CrossRefGoogle ScholarPubMed
Gladsjo, J.A., Schuman, C.C., Evans, J.D., Peavy, G.M., Miller, S.W., & Heaton, R.K. (1999). Norms for letter and category fluency: Demographic corrections for age, education, and ethnicity. Assessment, 6, 147–178.Google Scholar
Hachinski, V. (2008). Shifts in thinking about dementia. Journal of the American Medical Association, 300, 2172–2173.CrossRefGoogle ScholarPubMed
Ivnik, R.J., Malec, J.F., Smith, G.E., Tangalos, E.G., Petersen, R.C., Kokmen, E., & Kurland, L.T. (1992). Mayo’s Older Americans Normative Studies: WMS-R norms for ages 56-94. The Clinical Neuropsychologist, 6, 49–82.Google Scholar
Jak, A.J., Bondi, M.W., Delano-Wood, L., Wierenga, C., Corey-Bloom, J., Salmon, D.P., & Delis, D. (2009). Quantification of five neuropsychological approaches to defining mild cognitive impairment. The American Journal of Geriatric Psychiatry, 17 (in press).Google Scholar
Jak, A.J., Houston, W.S., Nagel, B.J., Corey-Bloom, J., & Bondi, M.W. (2007). Differential cross-sectional and longitudinal impact of APOE genotype on hippocampal volumes in nondemented older adults. Dementia and Geriatric Cognitive Disorders, 23, 282–289.Google Scholar
Kaplan, E.F., Goodglass, H., & Weintraub, S. (1983). The Boston Naming Test. Philadelphia, PA: Lea & Febiger.Google Scholar
Lineweaver, T.T., Bondi, M.W., Thomas, R.G., & Salmon, D.P. (1999). A normative study of Nelson’s (1976) modified version of the Wisconsin Card Sorting Test in healthy older adults. The Clinical Neuropsychologist, 13, 328–347.CrossRefGoogle ScholarPubMed
Loeb, P.A. (1996). ILS: Independent Living Scales Manual. San Antonio, TX: Psychological Corp, Harcourt Brace Jovanovich.Google Scholar
Mariani, E., Monastero, B., & Mecocci, P. (2007). Mild cognitive impairment: A systematic review. Journal of Alzheimer’s Disease, 12, 23–35.CrossRefGoogle ScholarPubMed
Martin, S.B., Smith, C.D., Collins, H.R., Schmitt, F.A., & Gold, B.T. (2009). Evidence that volume of anterior medial temporal lobe is reduced in seniors destined for mild cognitive impairment. Neurobiology of Aging (in press, epub ahead of print).Google Scholar
Mattis, S. (1988). Dementia Rating Scale: Professional Manual. Odessa, FL: Psychological Assessment Resources.Google Scholar
Norman, M.A., Evan, J.D., Miller, W.S., & Heaton, R.K. (2000). Demographically corrected norms for the California Verbal Learning Test. Journal of Clinical and Experimental Neuropsychology, 22, 80–95.CrossRefGoogle ScholarPubMed
Palmer, K., Backman, L., Winblad, B., & Fratiglioni, L. (2008). Mild cognitive impairment in the general population: Occurrence and progression to Alzheimer disease. American Journal of Geriatric Psychiatry, 16, 603–611.CrossRefGoogle ScholarPubMed
Petersen, R.C. & Morris, J.C. (2005). Mild cognitive impairment as a clinical entity and treatment target. Archives of Neurology, 62, 1160–1163.Google Scholar
Petersen, R.C., Smith, G.E., Waring, S.C., Ivnik, R.J., Tangalos, E.G., & Kokmen, E. (1999). Mild cognitive impairment: Clinical characterization and outcome. Archives of Neurology, 56, 303–308.Google Scholar
Ravaglia, G., Forti, P., Maioli, F., Martelli, M., Servadei, L., Brunetti, N., Pantieri, G., & Mariani, E. (2006). Conversion of mild cognitive impairment to dementia: Predictive role of mild cognitive impairment subtypes and vascular risk factors. Dementia and Geriatric Cognitive Disorders, 21, 51–58.Google Scholar
Reitan, R.M. & Wolfson, D. (1985). The Halstead-Reitan Neuropsychological Test Battery. Tucson, AZ: Neuropsychology Press.Google Scholar
Reitz, C., Tang, M., Manly, J., Mayeux, R., & Luchsinger, J.A. (2007). Hypertension and the risk of mild cognitive impairment. Archives of Neurology, 64, 1734–1740.Google Scholar
Solfrizzi, V., Panza, F., Colacicco, A.M., D’Introno, A., Capurso, C., Torres, F., Grigoletto, F., Maggi, S., Del Parigi, A., Reiman, E.M., Caselli, R.J., Scafato, E., Farichi, G., & Capurso, A. (2004). Vascular risk factors, incidence of MCI, and rates of progression to dementia. Neurology, 63, 1882–1891.CrossRefGoogle ScholarPubMed
Storandt, M., Grant, E.A., Miller, J.P., & Morris, J.C. (2006). Longitudinal course and neuropathologic outcomes in original vs. revised MCI and in pre-MCI. Neurology, 67, 467–473.CrossRefGoogle ScholarPubMed
Stoub, T.R., Rogalski, E.J., Leurgans, S., Bennett, D.A., & deToledo-Morrell, L. (2009). Rate of entorhinal and hippocampal atrophy in incipient and mild AD: Relation to memory function. Neurobiology of Aging (in press, epub ahead of print).Google Scholar
Tabert, M.H., Manly, J.J., Liu, X., Pelton, G.H., Rosenblum, S., Jacobs, M., Zamora, D., Goodkind, M., Bell, K., Stern, Y., & Devanand, D.P. (2006). Neuropsychological prediction of conversion to Alzheimer disease in patients with mild cognitive impairment. Archives of General Psychiatry, 63, 916–924.CrossRefGoogle ScholarPubMed
Tuokko, H.A. & McDowell, I. (2006). An overview of mild cognitive impairment. In Tuokko, H.A. & Hultsch, D.F. (Eds.), Mild cognitive impairment: International perspectives (pp. 3–28). New York: Taylor and Francis.Google Scholar
Verghese, J., Robbins, M., Holtzer, R., Zimmerman, M.E., Wang, C., Xue, X., & Lipton, R.B. (2008). Gait dysfunction in mild cognitive impairment syndromes. Journal of the American Geriatric Society, 56, 1–8.CrossRefGoogle ScholarPubMed
Wechsler, D. (1974). Wechsler Intelligence Scale for Children—Revised. New York: Psychological Corporation.Google Scholar
Wechsler, D. (1981). Wechsler Adult Intelligence Scale—Revised Manual. San Antonio, TX: Psychological Corporation.Google Scholar
Wechsler, D. (1987). Wechsler Memory Scale—Revised. New York: Psychological Corporation.Google Scholar
Whitwell, J.L., Przybelski, S.A., Weigand, S.D., Knopman, D., Boeve, B.F., Petersen, R.C., & Jack, C.R. (2007). 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer’s disease. Brain, 130, 1777–1786.CrossRefGoogle ScholarPubMed
Yaffe, K., Petersen, R.C., Lindquist, K., Kramer, J., & Miller, B. (2006). Subtype of mild cognitive impairment and progression to dementia and death. Dementia and Geriatric Cognitive Disorders, 22, 312–319.Google Scholar
Zanetti, M., Ballabio, C., Abbate, C., Cutaia, C., Vergani, C., & Bergamaschini, L. (2006). Mild cognitive impairment subtypes and vascular dementia in community-dwelling elderly people: A 3-year follow-up study. Journal of the American Geriatrics Society, 54, 580–586.Google Scholar