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Research ArticleBrain
Open Access

The Contributions of MRI-Based Measures of Gray Matter, White Matter Hyperintensity, and White Matter Integrity to Late-Life Cognition

J. He, V.S.S. Wong, E. Fletcher, P. Maillard, D.Y. Lee, A.-M. Iosif, B. Singh, O. Martinez, A.E. Roach, S.N. Lockhart, L. Beckett, D. Mungas, S.T. Farias, O. Carmichael and C. DeCarli
American Journal of Neuroradiology October 2012, 33 (9) 1797-1803; DOI: https://doi.org/10.3174/ajnr.A3048
J. He
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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V.S.S. Wong
bDepartments of Neurology (V.S.S.W., D.M., S.T.F., O.C., C.D.)
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E. Fletcher
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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P. Maillard
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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D.Y. Lee
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
dDepartment of Neuropsychiatry (D.Y.L.), Seoul National University, College of Medicine, Seoul, Korea.
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A.-M. Iosif
cPublic Health Sciences (A.-M.I., L.B.), University of California, Davis
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B. Singh
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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O. Martinez
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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A.E. Roach
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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S.N. Lockhart
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
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L. Beckett
cPublic Health Sciences (A.-M.I., L.B.), University of California, Davis
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D. Mungas
bDepartments of Neurology (V.S.S.W., D.M., S.T.F., O.C., C.D.)
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S.T. Farias
bDepartments of Neurology (V.S.S.W., D.M., S.T.F., O.C., C.D.)
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O. Carmichael
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
bDepartments of Neurology (V.S.S.W., D.M., S.T.F., O.C., C.D.)
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C. DeCarli
aFrom the Imaging of Dementia and Aging (IDeA) Laboratory (J.H., E.F., P.M., D.Y.L., B.S., O.M., A.E.R., S.N.L., O.C., C.D.)
bDepartments of Neurology (V.S.S.W., D.M., S.T.F., O.C., C.D.)
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Abstract

BACKGROUND AND PURPOSE: GM volume, WMH volume, and FA are each associated with cognition; however, few studies have detected whether these 3 different types of MR imaging measurements exert independent or additive effects on cognitive performance. To detect their extent of contribution to cognitive performance, we explored the independent and additive contributions of GM atrophy, white matter injury, and white matter integrity to cognition in elderly patients.

MATERIALS AND METHODS: Two hundred and 9 elderly patients participated in the study: 97 were CN adults, 65 had MCI, and 47 had dementia. We measured GM on T1-weighted MR imaging, WMH on FLAIR, and FA on DTI, along with psychometrically matched measures of 4 domains of cognitive performance, including semantic memory, episodic memory, executive function, and spatial abilities.

RESULTS: As expected, patients with dementia performed significantly more poorly in all 4 cognitive domains, whereas patients with MCI performed generally less poorly than dementia patients, though considerable overlap in performance was present across groups. GM, FA, and WMH each differed significantly between diagnostic groups and were associated with cognitive measures. In multivariate models that included all 3 MR imaging measures (GM, WMH, and FA), GM volume was the strongest determinant of cognitive performance.

CONCLUSIONS: These results strongly suggest that MR imaging measures of GM are more closely associated with cognitive function than WM measures across a broad range of cognitive and functional impairment.

ABBREVIATIONS:

AD
Alzheimer Disease
CC
corpus callosum
CN
cognitively normal
FA
fractional anisotropy
GM
gray matter
ICC
intraclass correlation coefficient
MCI
mild cognitive impairment
MDT
minimum deformation template
RS
recruitment source
SLF-FP
superior longitudinal fasciculus, frontal part
TCV
total cranial volume
UNC
uncinate fasciculus
WMH
white matter hyperintensity
  • © 2012 by American Journal of Neuroradiology

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American Journal of Neuroradiology: 33 (9)
American Journal of Neuroradiology
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Cite this article
J. He, V.S.S. Wong, E. Fletcher, P. Maillard, D.Y. Lee, A.-M. Iosif, B. Singh, O. Martinez, A.E. Roach, S.N. Lockhart, L. Beckett, D. Mungas, S.T. Farias, O. Carmichael, C. DeCarli
The Contributions of MRI-Based Measures of Gray Matter, White Matter Hyperintensity, and White Matter Integrity to Late-Life Cognition
American Journal of Neuroradiology Oct 2012, 33 (9) 1797-1803; DOI: 10.3174/ajnr.A3048

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The Contributions of MRI-Based Measures of Gray Matter, White Matter Hyperintensity, and White Matter Integrity to Late-Life Cognition
J. He, V.S.S. Wong, E. Fletcher, P. Maillard, D.Y. Lee, A.-M. Iosif, B. Singh, O. Martinez, A.E. Roach, S.N. Lockhart, L. Beckett, D. Mungas, S.T. Farias, O. Carmichael, C. DeCarli
American Journal of Neuroradiology Oct 2012, 33 (9) 1797-1803; DOI: 10.3174/ajnr.A3048
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