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Research ArticleFunctional

Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging Analysis in Patients with Brain Gliomas

M. Caulo, R. Esposito, D. Mantini, C. Briganti, C. Sestieri, P.A. Mattei, C. Colosimo, G.L. Romani and A. Tartaro
American Journal of Neuroradiology June 2011, 32 (6) 1056-1064; DOI: https://doi.org/10.3174/ajnr.A2428
M. Caulo
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R. Esposito
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D. Mantini
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C. Briganti
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C. Sestieri
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P.A. Mattei
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C. Colosimo
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G.L. Romani
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A. Tartaro
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    Fig 1.

    Outline of the ICA-based GLM analysis. The procedure can be divided into 3 steps: 1) The fMRI time courses are decomposed by means of spatial ICA, and the IC showing the largest correspondence with the predictor is selected; 2) a spatial mask is created by thresholding the IC map, which is applied to the fMRI data; and 3) GLM analysis is performed on the masked fMRI time course as brain response data, by using the IC model.

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    Fig 2.

    Results of the ICA decomposition on a patient with a brain tumor. A, Time courses of the first 4 ranked ICs. B, Comparison between the results of power spectrum ranking and temporal correlation on all the separated ICs. C, Spatial maps of the first 4 ranked ICs, thresholded at z > 2.

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    Fig 3.

    GLM (left column) and ICA-GLM (right column) activations (P < .001, uncorrected) during VGt in representative controls and patients. The left hemispheres are displayed with different Talairach x-values, to visualize the IFG (Broca area) and TPJ (Wernicke area). The bar charts in the lower left-hand corners show the correlation coefficients of the first 4 ICs and the task predictor; the chosen IC is displayed in red. In controls, both the GLM and ICA-GLM show activation in the IFG and TPJ. In patient 1 (left parietal glioma), the ICA-GLM activates both the IFG and TPJ, whereas the GLM activates only the IFG. In patient 2 (left temporal glioma), the ICA-GLM activates both the IFG and TPJ, whereas no language regions are detected with the GLM. In patient 3 (left temporal glioma), the ICA-GLM activates only the IFG, whereas no language regions are detected with the GLM.

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    Fig 4.

    Comparison of LI values obtained with the classic GLM and ICA-GLM of controls and patients for the following tasks: With WGt, 2 controls presented a bilateral LI (−0.2 < LI < 0.2) with the GLM. The same 2 subjects showed a left dominance with ICA-GLM, while the third showed a bilateral organization with ICA-GLM. With VGt, the same 2 controls with bilateral LI with GLM. Both presented a left dominance with ICA-GLM. With WGt, 20 patients had an LI indicating a bilateral language organization with the GLM: Seven presented left dominance with ICA-GLM and 13 remained bilateral. Three patients showed a left dominance with the GLM but a bilateral dominance with ICA-GLM. Eighteen of the remaining patients had a left dominance with both the GLM and ICA-GLM, and 1, a concordant right dominance. With VGt, 16 patients presented a bilateral LI indicated by the GLM, of which 6 had left and 1 right dominance with ICA-GLM. Four patients showed a left dominance with the GLM but a bilateral dominance with ICA-GLM. One patient presented a right dominance with the GLM but a bilateral dominance with ICA-GLM. Of the remaining patients, 20 had a left dominance with both the GLM and ICA-GLM and 1 patient had a concordant right dominance.

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    Fig 5.

    LI curves of patients performing the VGt analyzed with the 2 methods (GLM and ICA-GLM). With the GLM, the LI curve starts near low values and increases as the threshold rises toward stricter values. With ICA-GLM, the LI curve starts from higher values and remains constant toward stricter values. Both curves eventually drop to zero when no activated voxels resist. Asterisks indicate the threshold values at which the 2 methods are statistically different.

Tables

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  • Comparison of the GLM and ICA-GLMa

    Left IFGLeft TPJRight IFGRight TPJ
    PatientsControlsPatientsControlsPatientsControlsPatientsControls
    GLM40 (95)14 (100)27 (64)13 (93)36 (86)14 (100)13 (31)27 (64)
    ICA-GLM42 (100)14 (100)38 (90)13 (93)36 (86)13 (93)13 (31)10 (71)
    • a Number (percentage) of subjects with BOLD activity detected in the 4 classic language regions.

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American Journal of Neuroradiology: 32 (6)
American Journal of Neuroradiology
Vol. 32, Issue 6
1 Jun 2011
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Cite this article
M. Caulo, R. Esposito, D. Mantini, C. Briganti, C. Sestieri, P.A. Mattei, C. Colosimo, G.L. Romani, A. Tartaro
Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging Analysis in Patients with Brain Gliomas
American Journal of Neuroradiology Jun 2011, 32 (6) 1056-1064; DOI: 10.3174/ajnr.A2428

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Comparison of Hypothesis- and a Novel Hybrid Data/Hypothesis-Driven Method of Functional MR Imaging Analysis in Patients with Brain Gliomas
M. Caulo, R. Esposito, D. Mantini, C. Briganti, C. Sestieri, P.A. Mattei, C. Colosimo, G.L. Romani, A. Tartaro
American Journal of Neuroradiology Jun 2011, 32 (6) 1056-1064; DOI: 10.3174/ajnr.A2428
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