Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T04:47:34.410Z Has data issue: false hasContentIssue false
  • English
  • Français

Everyday Cognition in Older Adults: Associations with Neuropsychological Performance and Structural Brain Imaging

Published online by Cambridge University Press:  31 January 2013

Sarah Tomaszewski Farias ,
Lovingly Quitania Park ,
Danielle J. Harvey ,
Christa Simon ,
Bruce R. Reed ,
Owen Carmichael  and
Dan Mungas
Sarah Tomaszewski Farias*
Affiliation:
Department of Neurology, University of California, Davis, Sacramento, California
Lovingly Quitania Park
Affiliation:
Department of Neurology, University of California, Davis, Sacramento, California
Danielle J. Harvey
Affiliation:
Department of Public Health, Division of Biostatistics, University of California, Davis, California
Christa Simon
Affiliation:
Department of Neurology, University of California, Davis, Sacramento, California
Bruce R. Reed
Affiliation:
Department of Neurology, University of California, Davis, Sacramento, California Veterans Affairs Northern California Health Care System, Martinez, California
Owen Carmichael
Affiliation:
Department of Neurology, University of California, Davis, Sacramento, California
Dan Mungas
Affiliation:
Department of Neurology, University of California, Davis, Sacramento, California
*
Correspondence and reprint requests to: Sarah Tomaszewski Farias, University of California, Davis, Department of Neurology, 4860 Y Street Suite 3700, Sacramento, CA 95817, E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The recently developed Everyday Cognition scales (ECog) measure multiple cognitively relevant functional domains (e.g., Everyday Memory, Everyday Language, Everyday Visuospatial abilities, and three everyday executive domains). The present study further evaluated the validity of the ECog by examining its relationship with objective measures of neuropsychological function, and neurobiological markers of disease as reflected by structural neuroimaging. Participants included 474 older adults (244 normals, 142 with MCI, 88 with dementia). The neuropsychological domains measured were episodic memory, semantic memory, spatial ability, and executive functioning. Brain MRI volumes included total brain (BV), hippocampus (HC) and dorsolateral prefrontal cortex (DLPFC). Neuropsychological measures of episodic memory and executive function were most consistently related to the ECog domains; spatial abilities had a specific relationship to the Everyday Visuospatial ECog domain. HC and BV volumes were related to most ECog domains, while DLPFC volume was independently related to two everyday executive domains (Everyday Planning and Everyday Organization). The pattern of associations varied somewhat as a function of diagnosis. Episodic memory and HC had more consistent associations with the ECog domains in older adults with MCI/dementia than in cognitively normal elderly. (JINS, 2013, 19, 1–12)

Keywords

Activities of daily livingInstrumental activities of daily livingFunctional abilitiesMCIDementiaNeuroimagingEpisodic memoryExecutive function
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 19 , Issue 4 , April 2013 , pp. 430 - 441
Copyright
Copyright © The International Neuropsychological Society 2013

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

Addis, D.R., Cheng, T., Roberts, R.P., Schacter, D.L. (2011). Hippocampal contributions to the episodic simulation of specific and general future events. Hippocampus, 21(10), 1045–1052 . doi:10.1002/hipo.20870CrossRefGoogle Scholar
American Psychiatric Association. (1987). Diagnostic and statistical manual of mental disorders (Rev. 3rd ed.). Washington, DC: American Psychiatric Association.Google Scholar
Bell-McGinty, S., Podell, K., Franzen, M., Baird, A.D., Williams, M.J. (2002). Standard measures of executive function in predicting instrumental activities of daily living in older adults. International Journal of Geriatric Psychiatry, 17(9), 828–834 . doi:10.1002/gps.646CrossRefGoogle ScholarPubMed
Bjornebekk, A., Westlye, L.T., Walhovd, K.B., Fjell, A.M. (2010). Everyday memory: Self-perception and structural brain correlates in a healthy elderly population. Journal of the International Neuropsychological Society, 16(6), 1115–1126 . doi:10.1017/S1355617710001025CrossRefGoogle Scholar
Brown, P.J., Devanand, D.P., Liu, X.H., Caccappolo, E., & Alzheimer's Disease Neuroimaging Initiative. (2011). Functional impairment in elderly patients with mild cognitive impairment and mild Alzheimer Disease. Archives of General Psychiatry, 68(6), 617–626.CrossRefGoogle ScholarPubMed
Burton, C.L., Strauss, E., Bunce, D., Hunter, M.A., Hultsch, D.F. (2009). Functional abilities in older adults with mild cognitive impairment. Gerontology, 55(5), 570–581 . doi:10.1159/000228918CrossRefGoogle ScholarPubMed
Cahn-Weiner, D.A., Boyle, P.A., Malloy, P.F. (2002). Tests of executive function predict instrumental activities of daily living in community-dwelling older individuals. Applied Neuropsychology, 9(3), 187–191 . doi:10.1207/S15324826AN0903_8CrossRefGoogle ScholarPubMed
Cahn-Weiner, D.A., Farias, S.T., Julian, L., Harvey, D.J., Kramer, J.H., Reed, B.R., Chui, H. (2007). Cognitive and neuroimaging predictors of instrumental activities of daily living. Journal of the International Neuropsychological Society, 13(5), 747–757 . doi:10.1017/S1355617707070853CrossRefGoogle ScholarPubMed
Carmichael, O., Munas, D., Beckett, L., Harvey, D., Farias, S.T., Reed, B., Decarli, C. (2012). MRI predictors of cognitive change in a diverse and carefully characterized elderly population. Neurobiology of Aging, 33, 83–95.CrossRefGoogle Scholar
Chow, T.W., Cummings, J.L. (2007). Frontal-subcortical circuits. In B. L. Miller & J. L. Cummings (Eds.), Human frontal lobes (pp. 25–43). New York, NY: Guilford Press.Google Scholar
Daly, E., Zaitchik, D., Copeland, M., Schmahmann, J., Gunther, J., Albert, M. (2000). Predicting conversion to Alzheimer's disease using standardized clinical information. Archives of Neurology, 57, 675–680.CrossRefGoogle ScholarPubMed
DeCarli, C., Massaro, J., Harvey, D., Hald, J., Tullberg, M., Au, R. (2005). Measures of brain morphology and infarction in the Framingham heart study: Establishing what is normal. Neurobiology of Aging, 26, 491–510.CrossRefGoogle Scholar
DeCarli, C., Reed, B.R., Jagust, W., Martinez, O., Ortega, M., Mungas, D. (2008). Brain behavior relationships among African Americans, Whites, and Hispanics. Alzheimer Disease and Associated Disorders, 22(4), 382–391.CrossRefGoogle ScholarPubMed
DeCarli, C.E., Fletcher, E., Rameny, V., Harvey, D., Jagust, W. (2005). Anatomical mapping of white matter hyperintensities (WMH): Exploring the relationships between periventricular WMH, deep WMH, and total WMH burden. Stroke, 36, 50–55.CrossRefGoogle ScholarPubMed
DeCarli, C.E., Maisog, J., Murphy, G., Teichberg, D., Rapoport, S.I., Horwitz, B. (1992). Method for quantification of brain, ventricular, and subarachoid CSF volumes for MR images. Journal of Computer Assisted Tomography, 16, 274–284.CrossRefGoogle Scholar
DeCarli, C.E., Murphy, G., Teichberg, D., Campbell, G., Sobering, G.S. (1996). Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity. Journal of Magnetic Resonance Imaging, 6, 519–528.CrossRefGoogle ScholarPubMed
Duvernoy, H.M. (2005). The human hippocampus: Functional anatomy, vascularization, and serial sections with MRI. New York: Springer.CrossRefGoogle Scholar
Farias, S.T., Mungas, D., Reed, B.R., Harvey, D., DeCarli, C. (2009). Progression of mild cognitive impairment to dementia in clinic-vs community based cohorts. Archives of Neurology, 66(9), 1151–1157.CrossRefGoogle ScholarPubMed
Farias, S.T., Mungas, D., Reed, B.R., Cahn-Weiner, D., Jagust, W., Baynes, K., DeCarli, C. (2008). The measurement of everyday cognition (ECog): Scale development and psychometric properties. Neuropsychology, 22, 531–544.CrossRefGoogle ScholarPubMed
Farias, S.T., Mungas, D., Reed, B.R., Haan, M.N., Jagust, W.J. (2004). Everyday functioning in relation to cognitive functioning and neuroimaging in community-dwelling Hispanic and non-Hispanic older adults. Journal of the International Neuropsychological Society, 10(3), 342–354.CrossRefGoogle ScholarPubMed
Farias, S.T., Mungas, D., Reed, B.R., Harvey, D., Cahn-Weiner, D., Decarli, C. (2006). MCI is associated with deficits in everyday function. Alzheimer Disease and Associated Disorders, 20, 217–223.CrossRefGoogle Scholar
Glosser, G., Gallo, J., Duda, N., De Vries, J.J., Clark, C.M., Grossman, M. (2002). Visual perceptual functions predict instrumental activities of daily living in patients with dementia. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 15, 198–206.Google ScholarPubMed
Gold, D.A. (2011). An examination of instrumental activities of daily living assessment in older adults and mild cognitive impairment. Journal of the International Neuropsychological Society, 34, 11–34.Google ScholarPubMed
Gordon, B.A., Shelton, J.T., Bugg, J.M., McDaniel, M.A., Head, D. (2011). Structural correlates of prospective memory. Neuropsychologia, 49(14), 3795–3800 . doi:10.1016/j.neuropsychologia.2011.09.035CrossRefGoogle ScholarPubMed
Grigsby, J., Kaye, K., Baxter, J., Shetterley, S.M., Hamman, R.F. (1998). Executive cognitive abilities and functional status among community-dwelling older persons in the San Luis Valley Health and Aging Study. Journal of the American Geriatric Society, 46, 590–596.CrossRefGoogle Scholar
Jefferson, A.L., Barakat, L.P., Giovannetti, T., Paul, R.H., Glosser, G. (2006). Object perception impairments predict instrumental activities of daily living dependence in Alzheimer's disease. Journal of Clinical and Experimental Neuropsychology, 28(6), 884–897 . doi:10.1080/13803390591001034CrossRefGoogle ScholarPubMed
Jefferson, A.L., Byerly, L.K., Vanderhill, S., Lambe, S., Wong, S., Ozonoff, A., Karlawish, J.H. (2008). Characterization of activities of daily living in individuals with mild cognitive impairment. American Journal of Geriatric Psychiatry, 16(5), 375–383 . doi: 10.1097/JGP.0b013e318162f197CrossRefGoogle ScholarPubMed
Jorm, A.F., Christensen, H., Henderson, A.S., Korten, A.E., Mackinnon, A.J., Scott, R. (1994). Complaints of cognitive decline in the elderly: A comparison of reports by subjects and informants in a community survey. Psychological Medicine, 24, 365–374.CrossRefGoogle Scholar
Jorm, A.F., Korten, E. (1988). Assessment of cognitive decline in the elderly by informant interview. British Journal of Psychiatry, 152, 209–213.CrossRefGoogle ScholarPubMed
Kochunov, P., Lancaster, J.L., Thompson, P., Woods, R., Mazziotta, J., Hardies, J., Fox, P. (2001). Regional spatial normalization: Toward an optimal target. Journal of Computer Assisted Tomography, 25, 805–816.CrossRefGoogle ScholarPubMed
Landau, S.M., Harvey, D., Madison, C.M., Koeppe, R.A., Reiman, E.M., Foster, N.L., Jagust, W. (2011). Association between cognitive, functional, and FDG-PET measures of decline AD and MCI. Neurobiology of Aging, 32, 1207–1218.CrossRefGoogle ScholarPubMed
Lee, D.Y., Fletcher, E., Martinez, O., Zozulya, N., Kim, J., Tran, L., Decarli, C. (2010) … Vascular and degenerative processes differentially affect regional interhemispheric connections in normal aging, mild cognitive impairment, and Alzheimer disease. Stroke, 41, 1791–1797.CrossRefGoogle ScholarPubMed
Melrose, R.J., Ettenhofer, M.L., Harwood, D., Achamallah, N., Campa, O., Mandelkern, M., Sultzer, D.L. (2011). Cerebral metabolism, cognition, and functional abilities in Alzheimer disease. Journal of Geriatric Psychiatry and Neurology, 24(3), 127–134 . doi:10.1177/0891988711405333CrossRefGoogle ScholarPubMed
Monnot, M., Brosey, M., Ross, E. (2005). Screening for dementia: Family caregiver questionnaires reliably predict dementia. Journal of American Board of Family Practice, 18, 240–256.CrossRefGoogle ScholarPubMed
Morales, J., Bermejo, F., Romero, M., Del-Ser, T. (1997). Screening of dementia in community-dwelling elderly through informant report. Journal of Geriatric Psychiatry, 12, 808–816.3.0.CO;2-5>CrossRefGoogle ScholarPubMed
Morris, J.C., Weintraub, S., Chui, H.C., Cummings, J.L., DeCari, C., Ferris, S., Kukull, W.A. (2006). The Uniform Data Set (UDS): Clinical and cognitive variables and descriptive data from the Alzheimer Disease Centers. Alzheimer Disease and Associated Disorders, 20, 210–216.CrossRefGoogle ScholarPubMed
Mungas, D., Reed, B., Farias, S.T., DeCarli, C. (2005). Criterion-referenced validity of a neuropsychological test battery: Equivalent performance in elderly Hispanic and Non-Hispanic Whites. Journal of the International Neuropsychological Society, 11, 620–630.CrossRefGoogle ScholarPubMed
Mungas, D., Reed, B.R., Crane, P.K., Haan, M.N., Gonzales, H. (2004). Spanish and English Neuropsychological Assessment Scales (SENAS): Further development and psychometric characteristics. Psychological Assessment, 16, 347–359.CrossRefGoogle ScholarPubMed
Mungas, D., Reed, B.R., Marshall, S.C., Gonzales, H. (2000). Development of psychometrically matched English and Spanish neuropsychological tests for older persons. Neuropsychology, 14, 209–223.CrossRefGoogle ScholarPubMed
Nadkarni, N.K., Levy-Cooperman, N., Black, S.E. (2012). Functional correlates of instrumental activities of daily living in mild Alzheimer's disease. Neurobiology of Aging, 33, 53060.CrossRefGoogle ScholarPubMed
Nedelska, Z., Andel, R., Laczo, J., Vlcek, K., Horinek, D., Lisy, J., Hort, J. (2012). Spatial navigation impairment is proportional to right hippocampal volume. Proceedings of the National Academy of Sciences of the United States of America, 109(7), 2590–2594 . doi:10.1073/pnas.1121588109CrossRefGoogle ScholarPubMed
Okonkwo, O.C., Wadley, V.G., Griffith, H.R., Ball, K., Marson, D.C. (2006). Cognitive correlates of financial abilities in mild cognitive impairment. Journal of the American Geriatrics Society, 54(11), 1745–1750 . doi:10.1111/j.1532-5415.2006.00916.xCrossRefGoogle ScholarPubMed
Perneczky, R., Pohl, C., Sorg, C., Hartmann, J., Tosic, N., Grimmer, T., Kurz, A. (2006). Impairment of activities of daily living requiring memory or complex reasoning as part of the MCI syndrome. International Journal of Geriatric Psychiatry, 21, 158–162.CrossRefGoogle ScholarPubMed
Rockwood, K. (2007). The measuring, meaning, and importance of activities of daily living (ADLs) as an outcome. International Psychogeriatrics, 19, 467–482.CrossRefGoogle ScholarPubMed
Royall, D.R., Palmer, R., Chiodo, L.K., Polk, M.J. (2004). Declining executive control in normal aging predicts change in functional status: The Freedom House Study. Journal of the American Geriatric Society, 52, 346–352.CrossRefGoogle ScholarPubMed
Royall, D.R., Palmer, R., Chiodo, L.K., Polk, M.J. (2005). Executive control mediates memory's association with change in instrumental activities of daily living: The Freedom House Study. Journal of the American Geriatric Society, 53, 11–17.CrossRefGoogle ScholarPubMed
Sadek, J.R., Stricker, N., Adair, J.C., Haaland, K.Y. (2011). Performance-based everyday functioning after stroke: Relationship with IADL questionnaire and neurocognitive performance. Journal of the International Neuropsychological Society, 17(5), 832–840 . doi:10.1017/S1355617711000841CrossRefGoogle ScholarPubMed
Salthouse, T.A., Berish, D.E., Siedlecki, K.L. (2004). Construct validity and age sensitivity of prospective memory. Memory and Cognition, 32(7), 1133–1148.CrossRefGoogle ScholarPubMed
Schacter, D.L., Gaesser, B., Addis, D.R. (2012). Remembering the past and imagining the future in the elderly. Gerontology . doi:10.1159/000342198 [Epub ahead of print].Google ScholarPubMed
Schinka, J.A. (2010). Use of informants to identify mild cognitive impairment in older adults. Current Psychiatry Reports, 12(1), 4–12 . doi:10.1007/s11920-009-0079-9CrossRefGoogle ScholarPubMed
Sherod, M.G., Griffith, H.R., Copeland, J., Belue, K., Krzywanski, S., Zamrini, E.Y., Marson, D.C. (2009). Neurocognitive predictors of financial capacity across the dementia spectrum: Normal aging, mild cognitive impairment, and Alzheimer's disease. Journal of the International Neuropsychological Society, 15(2), 258–267 . doi:10.1017/S1355617709090365CrossRefGoogle ScholarPubMed
Silverberg, N.B., Ryan, L.M., Carrillo, M.C., Sperling, R., Petersen, R.C., Posner, H.B., Ferman, T.J. (2011). Assessment of cognition in early dementia. Alzheimer's and Dementia, 7(3), e60–e76.CrossRefGoogle ScholarPubMed
Stilley, C.S., Bender, C.M., Dunbar-Jacob, J., Sereika, S., Ryan, C.M. (2010). The impact of cognitive function on medication management: Three studies. Health Psychology, 29(1), 50–55 . doi:10.1037/a0016940CrossRefGoogle ScholarPubMed
Tuokko, H., Morris, C., Ebert, P. (2005). Mild cognitive impairment and everyday functioning in older adults. Neurocase, 11(1), 40–47 . doi:10.1080/13554790490896802CrossRefGoogle ScholarPubMed
Van Petten, C. (2004). Relationship between hippocampal volume and memory ability in healthy individuals across the lifespan: Review and meta-analysis. Neuropsychologia, 42, 1394–1413.CrossRefGoogle ScholarPubMed
Vidoni, E.D., Honea, R.A., Burns, J.M. (2010). Neural correlates of impaired functional independence in early Alzheimer's disease. Journal of Alzheimer's Disease, 19(2), 517–527 . doi:10.3233/JAD-2010-1245CrossRefGoogle ScholarPubMed
Weintraub, S., Salmon, D., Mercaldo, N., Ferris, S., Graff-Radford, N.R., Chui, H., Morris, J.C. (2009). The Alzheimer's Disease Centers’ Uniform Data Set (UDS): The neuropsychologic test battery. Alzheimer Disease and Associated Disorders, 23(2), 91–101 . doi:10.1097/WAD.0b013e318191c7ddCrossRefGoogle ScholarPubMed
Whitney, K.A., Mossbarger, B., Herman, S.M., Ibarra, S.L. (2012). Is the Montreal cognitive assessment superior to the mini-mental state examination in detecting subtle cognitive impairment among middle-aged outpatient U.S. Military veterans? Archives of Clinical Neuropsychology, 27, 742–748 . doi:10.1093/arclin/acs060CrossRefGoogle Scholar