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Research ArticleBRAIN

White Matter Changes Contribute to Corpus Callosum Atrophy in the Elderly: The LADIS Study

C. Ryberg, E. Rostrup, K. Sjöstrand, O.B. Paulson, F. Barkhof, P. Scheltens, E.C.W. van Straaten, F. Fazekas, R. Schmidt, T. Erkinjuntti, L.-O. Wahlund, A.M. Basile, L. Pantoni, D. Inzitari and G. Waldemar on behalf of the LADIS study group
American Journal of Neuroradiology September 2008, 29 (8) 1498-1504; DOI: https://doi.org/10.3174/ajnr.A1169
C. Ryberg
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E. Rostrup
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K. Sjöstrand
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O.B. Paulson
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F. Barkhof
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P. Scheltens
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E.C.W. van Straaten
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F. Fazekas
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R. Schmidt
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T. Erkinjuntti
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L.-O. Wahlund
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A.M. Basile
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L. Pantoni
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D. Inzitari
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G. Waldemar
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  • Fig 1.
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    Fig 1.

    The left panel shows axial views illustrating the delineation of 6 anatomic regions: frontal (green), parietal (turquoise), temporal (yellow), basal ganglia (red), occipital lobes (pink), infratentorial regions (purple); see details in text. The right panel shows the average distribution of ARWMC projected onto orthogonal sections of the group-averaged T2-weighted image. The color-coding indicates the frequency of ARWMC occurrence, ranging from 5% (dark blue) to 30% and above (dark red).

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    Fig 2.

    Segmentation and subdivision of the CC area into 5 distinct subregions obtained from the normalized midsagittal T1 (MPRAGE) scans. A radial partitioning scheme is used for regional analyses of the CC. CC1 indicates rostrum and genu; CC2, rostral body; CC3, midbody; CC4, isthmus; CC5, splenium.

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    Fig 3.

    The correlation between the area of each of the 10 CC subregions and the volume of ARWMC in each of 5 hemispheric regions and the whole brain. To obtain a better illustration of the regional specificity between CC atrophy and ARWMC, we subdivided the CC into 10 subregions and not 5 subregions as reported in Fig 2. The color code from blue to red indicates the magnitude of regression coefficients.

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    Fig 4.

    Comparison of mean total callosal area measured on normalized MR imaging in nondisabled elderly subjects, classified by severity of ARWMC (Fazekas ratings 1, 2, and 3). Vertical bars indicate SDs. The white figures indicate the mean ARWMC volumes. Triple asterisks indicate P < .001 (ANOVA test).

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    Table 1:

    Clinical and MR imaging characteristics (N = 578)*

    CharacteristicNo.
    Female313 (54%)
    Age (years)74.1 (±5)
    MMSE score (0–30)27.4 (±2)
    Handedness (No. of subjects)†
        Left27 (4.7%)
        Right524 (90.8%)
        Ambidextrous26 (4.5%)
    ARWMC ratings (No. of subjects)
        Mild (score 1)260 (45%)
        Moderate (score 2)178 (31%)
        Severe (score 3)140 (24%)
    ARWMC volume (mL)
        Mild (score 1)7.3 (±5.3)
        Moderate (score 2)21.5 (±8.2)
        Severe (score 3)58.4 (±27.2)
    No. of lacunes (No. of subjects)
        0308 (47%)
        1–3195 (34%)
        ≥475 (13%)
    No. of infarcts (No. of subjects)
        0523 (90%)
        143 (7%)
        ≥212 (3%)
    • Note:—MMSE indicates Mini-Mental State Examination; ARWMC, age-related white matter changes.

    • * Values are mean (±SD) or numbers (percentages).

    • † Available for n = 577.

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    Table 2:

    Correlation coefficients (r) between CC areas and ARWMC volume measured in standard space*

    AreasMean ARWMC (mL)Mean CC Areas vs Mean ARWMC (mL) in the Brain (r)
    CC1CC2CC3CC4CC5CC Total
    Mean CC area (mm2)179.3 ± 40.193.8 ± 25.290.8 ± 24.091.5 ± 27.3184.0 ± 39.8642.6 ± 135.4
    ARWMC
        Basal ganglia region0.7 ± 0.9−0.111−0.0770.039−0.038−0.162‡−0.095
        Frontal lobes14.7 ± 15.4−0.181§−0.0780.027−0.07−0.232§−0.144†
        Occipital lobes1.2 ± 1.6−0.181‡−0.107−0.004−0.04−0.223§−0.146†
        Parietal lobes6.0 ± 7.4−0.137†−0.097−0.004−0.067−0.201§−0.132†
        Temporal lobes1.3 ± 1.9−0.154‡−0.157‡−0.067−0.104−0.206§−0.168‡
    Total ARWMC24.0 ± 25.0−0.175‡−0.0760.035−0.042−0.230§−0.134†
    • Note:—CC indicates corpus callosum; ARWMC, age-related white matter changes.

    • * All CC and ARWMC values were normalized to the same head size. Values are mean CC areas and mean ARWMC volume (± SD), relative volume of the ARWMC volume assessed relative to the entire anatomic region, correlation coefficients (r), and significance level. In addition to the log-transformed ARWMC per brain region, we entered the following covariates: number of lacunes per brain region, number of infarcts, age, handedness, recruiting center, and ratings of sulcal and ventricular atrophy.

    • † P < .01.

    • ‡ P < .001.

    • § P < .0001 (uncorrected).

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C. Ryberg, E. Rostrup, K. Sjöstrand, O.B. Paulson, F. Barkhof, P. Scheltens, E.C.W. van Straaten, F. Fazekas, R. Schmidt, T. Erkinjuntti, L.-O. Wahlund, A.M. Basile, L. Pantoni, D. Inzitari, G. Waldemar
White Matter Changes Contribute to Corpus Callosum Atrophy in the Elderly: The LADIS Study
American Journal of Neuroradiology Sep 2008, 29 (8) 1498-1504; DOI: 10.3174/ajnr.A1169

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White Matter Changes Contribute to Corpus Callosum Atrophy in the Elderly: The LADIS Study
C. Ryberg, E. Rostrup, K. Sjöstrand, O.B. Paulson, F. Barkhof, P. Scheltens, E.C.W. van Straaten, F. Fazekas, R. Schmidt, T. Erkinjuntti, L.-O. Wahlund, A.M. Basile, L. Pantoni, D. Inzitari, G. Waldemar
American Journal of Neuroradiology Sep 2008, 29 (8) 1498-1504; DOI: 10.3174/ajnr.A1169
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