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Research ArticleAdult Brain

Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study

T.A. Fuchs, K. Carolus, R.H.B. Benedict, N. Bergsland, D. Ramasamy, D. Jakimovski, B. Weinstock-Guttman, A. Kuceyeski, R. Zivadinov and M.G. Dwyer
American Journal of Neuroradiology August 2018, 39 (8) 1480-1486; DOI: https://doi.org/10.3174/ajnr.A5720
T.A. Fuchs
aFrom the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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K. Carolus
aFrom the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
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R.H.B. Benedict
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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N. Bergsland
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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D. Ramasamy
aFrom the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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D. Jakimovski
aFrom the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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B. Weinstock-Guttman
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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A. Kuceyeski
dDepartment of Radiology (A.K.), Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, New York.
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R. Zivadinov
aFrom the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
bMR Imaging Clinical Translational Research Center (R.Z.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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M.G. Dwyer
aFrom the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
cDepartment of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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    Fig 1.

    If WM damage in connected tracts is a primary driver of local SGM atrophy, then pathology represented by (C) ought to explain local SGM atrophy, beyond what is otherwise predicted by whole-brain atrophy and overall lesion growth (A and B) alone. On the other hand, if SGM atrophy largely progresses from independent pathology, we would still expect it to be correlated with overall lesion growth due to shared underlying overall disease activity (via A and B) but we would not expect (C) to explain any additional variance in atrophy. We therefore controlled for overall progression of disease-related pathology (A and B) in our analysis to determine the independent contribution of (C).

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    Fig 2.

    The Network Modification tool measures the proportion of disrupted WM tracts connected to a given GM region. An individual WM abnormality mask is referenced with respect to a data base of HC tractograms to probabilistically determine the proportion of connected tract streamlines that pass through a WM abnormality and are therefore considered disrupted.

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    Fig 3.

    Mean annualized atrophy (A) and change in WM tract disruption (B) for each SGM region across 5 years. Each sphere represents an SGM region. The size of each sphere is proportional to the magnitude of longitudinal atrophy and increased disruption of connected WM tracts.

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    Table 1:

    Demographic and clinical characteristics of study participants

    MS (n = 176)HC (n = 47)P
    Age at baseline (mean) (yr)46.95 ± 11.24745.96 ± 14.47.616
    Female/male; % female130:46; 73.934:13; 72.3.853
    Disease duration (mean) (yr)15.16 ± 9.87––
    CIS (No.) (%)16, 9.1––
    RRMS (No.) (%)114, 64.8––
    PPMS (No.) (%)7, 4.0––
    SPMS (No.) (%)39, 22.2––
    EDSS (median) (IQR)2.5, 1.5–4.5––
    White (No.) (%)167, 94.943, 91.5.480
    Hispanic/Latino (No.) (%)3, 1.70, 0.0–
    Black/African American (No.) (%)3, 1.73, 6.4.110
    Asian (No.) (%)1, 0.61, 2.1.378
    • Note:—CIS indicates clinically isolated syndrome; IQR, interquartile range; RRMS, relapsing-remitting MS; EDSS, Expanded Disability Status Scale; –, not applicable/not evaluable; PPMS, primary-progressive MS; SPMS, secondary-progressive MS.

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    Table 2:

    Annualized atrophy and change in tract disruptiona

    % Atrophy, MS% Atrophy, HCP (ANCOVA)Δ Tract Disruption, MSP (1-Sample)
    Left thalamus−1.22 ± 1.01−0.78 ± 0.77.006b0.0051 ± 0.0236.005b
    Right thalamus−1.06 ± 0.93−0.81 ± 0.80.0900.0052 ± 0.0204.001b
    Left caudate−0.92 ± 1.33−0.29 ± 2.10.011b0.0224 ± 0.0614<.001b
    Right caudate−0.73 ± 1.58−0.15 ± 2.11.04b0.0285 ± 0.0652<.001b
    Left putamen−1.13 ± 1.46−0.72 ± 1.01.0650.0115 ± 0.0307<.001b
    Right putamen−0.98 ± 1.67−0.68 ± 0.85.2450.0119 ± 0.0318<.000b
    Left globus pallidus−1.90 ± 2.36−0.72 ± 1.31.001b0.0030 ± 0.0165.017b
    Right globus pallidus−1.85 ± 1.93−0.60 ± 1.11<.001b0.0019 ± 0.0113.029b
    Left hippocampus−1.27 ± 1.75−0.69 ± 1.21.040b0.0015 ± 0.0095.032b
    Right hippocampus−0.99 ± 1.80−0.63 ± 1.52.2320.0047 ± 0.0162<.00b
    Left amygdala−1.87 ± 3.03−0.55 ± 2.11.005b0.0014 ± 0.0088.040b
    Right amygdala−2.03 ± 3.22−0.51 ± 2.99.003b0.0025 ± 0.0114.004b
    Left accumbens−1.57 ± 4.76−0.58 ± 3.29.2030.0011 ± 0.0079.073
    Right accumbens−1.52 ± 5.100.20 ± 5.21.0510.0021 ± 0.0090.002b
    • Note:—Δ Tract Disruption indicates longitudinal change in the disruption of connected WM tracts.

    • ↵a Data are means unless otherwise indicated.

    • ↵b Significant.

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    Table 3:

    Longitudinal analysis controlling for T2LV and WBVa

    RegionModel 1Model 2Change
    R2PPbR2PPbΔR2PPb
    Left thalamus0.156.000.0000.160.000.0000.004.181.984
    Right thalamus0.141.000.0000.147.000.0000.006.137.984
    Left caudate0.067.007.0280.074.005.0200.007.135.984
    Right caudate0.084.002.0140.092.001.0080.008.123.984
    Left putamen0.146.000.0000.164.000.0000.018.034.340
    Right putamen0.055.016.0360.130.000.0000.075.000.000
    Left globus pallidus0.140.000.0000.164.000.0000.024.017.187
    Right globus pallidus0.152.000.0000.161.000.0000.009.101.909
    Left hippocampus0.102.000.0000.097.001.008−0.005.7291.00
    Right hippocampus0.098.0001.0000.094.001.0080.004.5901.00
    Left amygdala0.059.012.0360.062.012.0240.003.207.984
    Right amygdala−0.013.711.7110.028.106.1060.041.005.065
    Left accumbens0.070.005.0250.104.008.0240.034.008.096
    Right accumbens0.084.002.0140.086.002.0100.002.240.984
    • Note:—ΔWBV indicates change in whole-brain volume; ΔT2LV, change in T2 lesion volume.

    • ↵a Hierarchic regression analyses predicting regional SGM 5-year atrophy. Predictors included in each model are as follows: model 1, age, sex, disease duration, ΔWBV, ΔT2LV, baseline tract disruption; model 2, age, sex, disease duration, ΔWBV, ΔT2LV, baseline tract disruption, longitudinal change in disruption of connected WM tracts.

    • ↵b Holm-Bonferroni–corrected P values. All P values are significant.

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T.A. Fuchs, K. Carolus, R.H.B. Benedict, N. Bergsland, D. Ramasamy, D. Jakimovski, B. Weinstock-Guttman, A. Kuceyeski, R. Zivadinov, M.G. Dwyer
Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study
American Journal of Neuroradiology Aug 2018, 39 (8) 1480-1486; DOI: 10.3174/ajnr.A5720

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Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study
T.A. Fuchs, K. Carolus, R.H.B. Benedict, N. Bergsland, D. Ramasamy, D. Jakimovski, B. Weinstock-Guttman, A. Kuceyeski, R. Zivadinov, M.G. Dwyer
American Journal of Neuroradiology Aug 2018, 39 (8) 1480-1486; DOI: 10.3174/ajnr.A5720
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