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Research ArticleFUNCTIONAL

Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI

N. Yahyavi-Firouz-Abadi, J.J. Pillai, M.A. Lindquist, V.D. Calhoun, S. Agarwal, R.D. Airan, B. Caffo, S.K. Gujar and H.I. Sair
American Journal of Neuroradiology May 2017, 38 (5) 1006-1012; DOI: https://doi.org/10.3174/ajnr.A5132
N. Yahyavi-Firouz-Abadi
aFrom the Department of Radiology (N.Y.-F.-A.), Mid-Atlantic Permanente Medical Group of Kaiser Permanente, Kensington, Maryland
bDivision of Neuroradiology, (N.Y.-F.-A., J.J.P., S.A., R.D.A., S.K.G., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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J.J. Pillai
bDivision of Neuroradiology, (N.Y.-F.-A., J.J.P., S.A., R.D.A., S.K.G., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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M.A. Lindquist
cDepartment of Biostatistics (M.A.L., B.C.), Johns Hopkins University, Baltimore, Maryland
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V.D. Calhoun
dThe Mind Research Network (S.A., V.D.C.), Departments of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico.
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S. Agarwal
bDivision of Neuroradiology, (N.Y.-F.-A., J.J.P., S.A., R.D.A., S.K.G., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
dThe Mind Research Network (S.A., V.D.C.), Departments of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico.
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R.D. Airan
bDivision of Neuroradiology, (N.Y.-F.-A., J.J.P., S.A., R.D.A., S.K.G., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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B. Caffo
cDepartment of Biostatistics (M.A.L., B.C.), Johns Hopkins University, Baltimore, Maryland
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S.K. Gujar
bDivision of Neuroradiology, (N.Y.-F.-A., J.J.P., S.A., R.D.A., S.K.G., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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H.I. Sair
bDivision of Neuroradiology, (N.Y.-F.-A., J.J.P., S.A., R.D.A., S.K.G., H.I.S.), The Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland
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  • Fig 1.
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    Fig 1.

    Task-based fMRI map demonstrating activation of the VSMN with the vertical tongue movement task in a single subject (A). Rs-fMRI maps with the best visual correlates to tb-fMRI at different ICA groups (B–E) were selected.

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    Fig 2.

    Rs-fMRI ICA maps (yellow) and Tb-fMRI T-maps (red) were thresholded, and 100 threshold maps were generated for each in a single subject. At a low threshold, there is artificially higher overlap (orange) between the maps due to noise. At a very high threshold, the overlap is smaller.

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    Fig 3.

    The Dice coefficient matrix at different thresholds at the subject level between the rs-fMRI (x-axis) at ICA 20 and tb-fMRI (y-axis). An artificially high Dice coefficient is seen in the top left corner of the left map due to overlap of noise. A noise matrix was generated (middle map) and was subtracted (right map). Noise-removed Dice coefficient maps were generated for all the subjects across 4 different ICA orders.

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    Fig 4.

    fMRI comparison among the patients. The number of patients with full, partial, and no match between tb- and rs-fMRI at different ICA levels is demonstrated.

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    Fig 5.

    Group mean Dice coefficient maps across all the subjects at each ICA order calculated from subject-level noise-removed Dice coefficient maps. The x-axis depicts the rs-fMRI threshold levels, and the y-axis depicts the tb-fMRI threshold levels with the color bar demonstrating the Dice coefficient value.

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    Fig 6.

    Violin plots of Dice VUS across ICA orders. The mean Dice VUS for each ICA order is denoted by white diamonds. As the ICA order increases, there are larger numbers of subjects with higher Dice VUS values as reflected in the greater width of the violin plots corresponding to kernel densities.

  • Fig 7.
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    Fig 7.

    Sample subject (patient 23 in the On-line Table) demonstrating an expansile mass lesion centered in the postcentral gyrus (arrows). Signal abnormality is extended to the subcortical white matter of the precentral gyrus. Red denotes tongue motor task activation, green denotes the VSMN network identified from rs-fMRI (ICA 50), and yellow denotes areas of overlap between tb- and rs-fMRI.

Tables

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    Table 1:

    Probability of getting a full match between rs-fMRI and tb-fMRI maps as a function of number of ICA components

    ICA 20ICA 30ICA 40ICA 50
    Probability0.530.650.690.73
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    Table 2:

    Dice coefficient values range, median, and mean at the subject level across different ICA orders

    MinimumMaximumMedianMean
    ICA 20−0.2140.5280.0090.062
    ICA 30−0.1340.5400.0150.071
    ICA 40−0.0560.5870.0240.085
    ICA 50−0.3680.6160.0240.086
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American Journal of Neuroradiology: 38 (5)
American Journal of Neuroradiology
Vol. 38, Issue 5
1 May 2017
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Cite this article
N. Yahyavi-Firouz-Abadi, J.J. Pillai, M.A. Lindquist, V.D. Calhoun, S. Agarwal, R.D. Airan, B. Caffo, S.K. Gujar, H.I. Sair
Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI
American Journal of Neuroradiology May 2017, 38 (5) 1006-1012; DOI: 10.3174/ajnr.A5132

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Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI
N. Yahyavi-Firouz-Abadi, J.J. Pillai, M.A. Lindquist, V.D. Calhoun, S. Agarwal, R.D. Airan, B. Caffo, S.K. Gujar, H.I. Sair
American Journal of Neuroradiology May 2017, 38 (5) 1006-1012; DOI: 10.3174/ajnr.A5132
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