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Research ArticleBrain
Open Access

Individual Classification of Mild Cognitive Impairment Subtypes by Support Vector Machine Analysis of White Matter DTI

S. Haller, P. Missonnier, F.R. Herrmann, C. Rodriguez, M.-P. Deiber, D. Nguyen, G. Gold, K.-O. Lovblad and P. Giannakopoulos
American Journal of Neuroradiology February 2013, 34 (2) 283-291; DOI: https://doi.org/10.3174/ajnr.A3223
S. Haller
aFrom the Service neuro-diagnostique et neuro-interventionnel DISIM (S.H., K-O.L.)
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P. Missonnier
bDivision of General Psychiatry (P.M., C.R., P.G.)
cDivision of Neuropsychiatry (P.M., M.-P.D.)
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F.R. Herrmann
dDepartment of Internal Medicine, Rehabilitation, and Geriatrics (G.G., F.R.H.), University Hospitals of Geneva, Geneva, Switzerland
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C. Rodriguez
bDivision of General Psychiatry (P.M., C.R., P.G.)
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M.-P. Deiber
cDivision of Neuropsychiatry (P.M., M.-P.D.)
eINSERM U1039, Faculty of Medicine (M.-P.D.), La Tronche, France
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D. Nguyen
fCentre Diagnostic Radiologique Carouge (D.N.), Carouge, Switzerland
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G. Gold
dDepartment of Internal Medicine, Rehabilitation, and Geriatrics (G.G., F.R.H.), University Hospitals of Geneva, Geneva, Switzerland
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K.-O. Lovblad
aFrom the Service neuro-diagnostique et neuro-interventionnel DISIM (S.H., K-O.L.)
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P. Giannakopoulos
bDivision of General Psychiatry (P.M., C.R., P.G.)
gDivision of Old Age Psychiatry (P.G.), University of Lausanne School of Medicine, Lausanne, Switzerland.
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  • Fig 1.
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    Fig 1.

    TBSS analysis between MCI subtypes. md-aMCI compared with sd-aMCI had significantly reduced FA (red to yellow) in a bilateral right-dominant network including right uncinate fasciculus, forceps minor, and internal capsule, as well as bilateral inferior fronto-occipital fasciculus, anterior thalamic radiation, superior longitudinal fasciculus, inferior longitudinal fasciculus, and corticospinal tract. md-aMCI compared with sd-fMCI had less pronounced reduction in FA in right inferior fronto-occipital fasciculus and inferior longitudinal fasciculus (blue to light blue). Axial, sagittal, and coronal sections at the indicated position in Montreal Neurological Institute; standard space coordinates (radiologic convention with right hemisphere on left-hand side). Gray, mean FA value; green, average skeleton. Threshold-free cluster enhancement–corrected for multiple comparisons at P < .05. Suprathreshold voxels were enlarged by using TBSS fill (part of FSL) for illustrative purposes.

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    Table 1:

    Demographic and clinical characteristics

    Variablessd-aMCImd-aMCIsd-fMCIsd-aMCI Compared with md-aMCIsd-aMCI Compared with sd-fMCImd-aMCI Compared with sd-fMCI
    Age (years)65.8 ± 5.466.2 ± 5.267.0 ± 4.7.897 (NS).445 (NS).358 (NS)
    Gender (F/M)7/1122/138/5.100 (NS).220 (NS).933 (NS)
    Education2.6 ± 0.61.9 ± 0.71.9 ± 0.8.019 (NS).120 (NS).284 (NS)
    MMSE28.4 ± 1.527.7 ± 1.828.5 ± 1.5.115 (NS).884 (NS).141 (NS)
    IADL8.8 ± 0.88.3 ± 0.87.8 ± 1.2.018 (NS).016 (NS).310 (NS)
    HAD (anxiety)4.8 ± 3.36.1 ± 3.05.9 ± 3.0.147 (NS).176 (NS).726 (NS)
    HAD (depression)1.9 ± 1.92.1 ± 1.72.9 ± 3.3.645 (NS).514 (NS).382 (NS)
    Fazekas score0.7 ± 0.51.1 ± 0.91.2 ± 1.0.090 (NS).851 (NS).148 (NS)
    • Note:—Data are presented as mean ± SD. Demographic and clinical characteristics did not differ between the 3 groups. NS refers to the Dunn Multiple comparison test adjusted P-value threshold for each demographic and clinical characteristic. sd-fMCI, n = 13; sd-aMCI, n = 18; md-aMCI, n = 35. HAD indicates Hospital Anxiety & Depression; IADL, Instrumental Activities of Daily Living; MMSE, Mini-Mental State Examination.

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    Table 2:

    Neuropsychologic data

    Variablessd-aMCImd-aMCIsd-fMCIsd-aMCI Compared with md-aMCIsd-aMCI Compared with sd-fMCImd-aMCI Compared with sd-fMCI
    Attention
        WAIS-R; Code63.1 ± 11.455.0 ± 13.153.0 ± 12.8.01461 (NS).1458 (NS).3150 (NS)
        Trail-Making Test A (s)35.7 ± 7.347.9 ± 18.145.0 ± 11.3.001 (S).151 (NS).4354 (NS)
    Working Memory
        Verbal (Digit)6.8 ± 2.26.1 ± 1.67.0 ± 1.8.233 (NS).839 (NS).135 (NS)
        Visuospatial (Corsi)5.7 ± 1.44.4 ± 1.45.9 ± 1.1.008 (NS).246 (NS).0015 (S)
    Episodic Memory
        Verbal (Buschke 48)
            Total score19.2 ± 4.223.63 ± 6.024.62 ± 2.3.0004 (S).0003 (S).201 (NS)
            Immediate recall38.0 ± 5.237.3 ± 3.439.5 ± 3.9.720 (NS).376 (NS).230 (NS)
            Differed cued recall18.4 ± 3.723.6 ± 6.424.6 ± 2.3.163 (NS).395 (NS).900 (NS)
        Intrusions3.8 ± 3.54.0 ± 2.93.6 ± 4.9.501 (NS).597 (NS).202 (NS)
            Visual (Shapes)11.8 ± 0.711.0 ± 1.512.0 ± 0.0.147 (NS).443 (NS).049 (NS)
    Executive functions
        Trail-Making Test B (s)54.2 ± 14.390.3 ± 41.096.50 ± 41.3.000032 (S).00015 (S).33006 (NS)
        Verbal Fluency22.7 ± 6.922.5 ± 7.121.2 ± 6.1.798 (NS).335 (NS).709 (NS)
        Wisconsin5.6 ± 2.14.7 ± 1.84.0 ± 2.5.104 (NS).049 (NS).407 (NS)
        Language (Boston)19.4 ± 0.819.1 ± 0.919.6 ± 0.7.157 (NS).570 (NS).055 (NS)
        Visual gnosis (Ghent)5.0 ± 0.05.0 ± 0.05.0 ± 0.0.500 (NS).500 (NS).500 (NS)
    Standardized praxies
        Ideomotor19.1 ± 1.018.9 ± 1.319.2 ± 1.1.188 (NS).148 (NS).919 (NS)
        Reflexive7.7 ± 0.57.0 ± 1.06.9 ± 0.9.0161 (NS).0139 (NS).2942 (NS)
        Constructional9.6 ± 0.99.1 ± 1.23.4 ± 0.5.806 (NS).371 (NS).499 (NS)
    • Note:—Data are presented as mean ± SD. sd-fMCI, n = 13; sd-aMCI, n = 18; md-aMCI, n = 35. S and NS refer to the significant and nonsignificant Dunn multiple comparison test adjusted P-value threshold for each demographic and clinical characteristic. Wisconsin: number of completed categories (/6); ideomotor praxis: transitive and intransitive (/30). WAIS-R indicates Wechsler Adult Intelligence Scale-Revised.

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    Table 3:

    List of suprathreshold clusters (threshold-free cluster enhancement–corrected at P < .05) for the comparison of MCI subgroups

    Cluster IndexVoxelsZ-MAXZ-MAX X (mm)Z-MAX Y (mm)Z-MAX Z (mm)Z-COG X (mm)Z-COG Y (mm)Z-COG Z (mm)SideAnatomic Location
    sd-fMCI versus md-aMCI
        140.952−12−86−7−12.8−85.2−4.18RightInferior fronto-occipital fasciculus (occipital)
    Inferior longitudinal fasciculus (occipital)
        212.951−7−84−3−7.17−83.8−2.5RightInferior fronto-occipital fasciculus (occipital)
    Inferior longitudinal fasciculus (occipital)
    sd-aMCI versus md-aMCI
        13409.9732528029.64.320.3RightInferior fronto-occipital fasciculus (frontal)
    Uncinate fasciculus
    Anterior thalamic radiation
    Internal capsule
    Superior longitudinal fasciculus
    Corticospinal tract
        2694.966−25−2424−32.4−35.513.1LeftAnterior thalamic radiation
    Superior longitudinal fasciculus
    Corticospinal tract
    Inferior fronto-occipital fasciculus
    Inferior longitudinal fasciculus
        3175.95915−85616.4−7.6152.9RightSuperior longitudinal fasciculus
        466.9541747−917.148.9−6.96RightForceps minor
    Uncinate fasciculus
    Anterior thalamic radiation
    • Note:—Cluster index, number of suprathreshold voxels in cluster, maximum P value, location of maximum P value per cluster in Montreal Neurological Institute; standard space (X, Y, Z), and center of gravity of the cluster in NMI standard space (X, Y, Z).

    • View popup
    Table 4:

    Individual SVM classification based on DTI FA TBSS

    md-aMCI versus sd-fMCImd-aMCI versus sd-aMCIsd-fMCI versus sd-aMCI
    Number of subjects34/1134/1511/15
    Chance rate0.760.690.58
    SVM analysis
        Accuracy98.40 (5.90)97.70 (6.61)99.67 (3.33)
        TP rate1.00 (0.00)1.00 (0.00)1.00 (0.00)
        FP rate0.06 (0.23)0.07 (0.20)0.01 (0.05)
        TN rate0.94 (0.23)0.94 (0.20)1.00 (0.05)
        FN rate0.00 (0.00)0.00 (0.00)0.00 (0.00)
    • Note:—Accuracy, true-positive (TP), false-positive (FP), true-negative (TN), and false-negative (FN) rates for individual classifications using a SVM classifier. Note that the accuracy is calculated as average accuracy of 10 repetitions using 10-fold cross-validation (average and standard deviation).

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American Journal of Neuroradiology
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S. Haller, P. Missonnier, F.R. Herrmann, C. Rodriguez, M.-P. Deiber, D. Nguyen, G. Gold, K.-O. Lovblad, P. Giannakopoulos
Individual Classification of Mild Cognitive Impairment Subtypes by Support Vector Machine Analysis of White Matter DTI
American Journal of Neuroradiology Feb 2013, 34 (2) 283-291; DOI: 10.3174/ajnr.A3223

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Individual Classification of Mild Cognitive Impairment Subtypes by Support Vector Machine Analysis of White Matter DTI
S. Haller, P. Missonnier, F.R. Herrmann, C. Rodriguez, M.-P. Deiber, D. Nguyen, G. Gold, K.-O. Lovblad, P. Giannakopoulos
American Journal of Neuroradiology Feb 2013, 34 (2) 283-291; DOI: 10.3174/ajnr.A3223
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