Seed-Based Resting-State Functional MRI for Presurgical Localization of the Motor Cortex: A Task-Based Functional MRI-Determined Seed Versus an Anatomy-Determined Seed

다국어 초록 (Multilingual Abstract)

Objective: For localization of the motor cortex, seed-based resting-state functional MRI (rsfMRI) uses the contralateral motor cortex as a seed. However, research has shown that the location of the motor cortex could differ according to anatomical variations. The purpose of this study was to compare the results of rsfMRI using two seeds: a template seed (the anatomically expected location of the contralateral motor cortex) and a functional seed (the actual location of the contralateral motor cortex determined by task-based functional MRI [tbfMRI]).
Materials and Methods: Eight patients (4 with glioma, 3 with meningioma, and 1 with arteriovenous malformation) and 9 healthy volunteers participated. For the patients, tbfMRI was performed unilaterally to activate the healthy contralateral motor cortex. The affected ipsilateral motor cortices were mapped with rsfMRI using seed-based and independent component analysis (ICA). In the healthy volunteer group, both motor cortices were mapped with both-hands tbfMRI and rsfMRI. We compared the results between template and functional seeds, and between the seed-based analysis and ICA with visual and quantitative analysis.
Results: For the visual analysis, the functional seed showed significantly higher scores compared to the template seed in both the patients (p = 0.002) and healthy volunteers (p < 0.001). Although no significant difference was observed between the functional seed and ICA, the ICA results showed significantly higher scores than the template seed in both the patients (p = 0.01) and healthy volunteers (p = 0.005). In the quantitative analysis, the functional seed exhibited greater similarity to tbfMRI than the template seed and ICA.
Conclusion: Using the contralateral motor cortex determined by tbfMRI as a seed could enhance visual delineation of the motor cortex in seed-based rsfMRI.

참고문헌 (Reference)

1 Rutten GJ, "The role of functional magnetic resonance imaging in brain surgery" 28 : E4-, 2010

2 Liu H, "Task-free presurgical mapping using functional magnetic resonance imaging intrinsic activity" 111 : 746-754, 2009

3 Shimony JS, "Resting-state spontaneous fluctuations in brain activity:a new paradigm for presurgical planning using fMRI" 16 : 578-583, 2009

4 Lang S, "Resting-state functional magnetic resonance imaging: review of neurosurgical applications" 74 : 453-464, 2014

5 Lee MH, "Resting-state fMRI: a review of methods and clinical applications" 34 : 1866-1872, 2013

6 Kamran M, "Resting-state blood oxygen level-dependent functional magnetic resonance imaging for presurgical planning" 24 : 655-669, 2014

7 Margulies DS, "Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity" 23 : 289-307, 2010

8 Hou BL, "Quantitative comparisons on hand motor functional areas determined by resting state and task BOLD fMRI and anatomical MRI for pre-surgical planning of patients with brain tumors" 11 : 378-387, 2016

9 Tyndall AJ, "Presurgical motor, somatosensory and language fMRI:technical feasibility and limitations in 491 patients over 13years" 27 : 267-278, 2017

10 Yahyavi-Firouz-Abadi N, "Presurgical brain mapping of the ventral somatomotor network in patients with brain tumors using resting-state fMRI" 38 : 1006-1012, 2017

11 Sair HI, "Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: comparison with task fMRI" 37 : 913-923, 2016

12 Schneider FC, "Presurgical assessment of the sensorimotor cortex using resting-state fMRI" 37 : 101-107, 2016

13 Zhang D, "Preoperative sensorimotor mapping in brain tumor patients using spontaneous fluctuations in neuronal activity imaged with functional magnetic resonance imaging: initial experience" 65 (65): 226-236, 2009

14 Rosazza C, "Preoperative mapping of the sensorimotor cortex: comparative assessment of task-based and restingstate FMRI" 9 : e98860-, 2014

15 Kokkonen SM, "Preoperative localization of the sensorimotor area using independent component analysis of resting-state fMRI" 27 : 733-740, 2009

16 Joel SE, "On the relationship between seed-based and ICA-based measures of functional connectivity" 66 : 644-657, 2011

17 Otten ML, "Motor deficits correlate with resting state motor network connectivity in patients with brain tumours" 135 (135): 1017-1026, 2012

18 Cordes D, "Mapping functionally related regions of brain with functional connectivity MR imaging" 21 : 1636-1644, 2000

19 Biswal B, "Functional connectivity in the motor cortex of resting human brain using echo-planar MRI" 34 : 537-541, 1995

20 Rosazza C, "Functional connectivity during resting-state functional MR imaging: study of the correspondence between independent component analysis and region-of-interest-based methods" 33 : 180-187, 2012

21 van den Heuvel MP, "Exploring the brain network: a review on resting-state fMRI functional connectivity" 20 : 519-534, 2010

22 Quigley M, "Effect of focal and nonfocal cerebral lesions on functional connectivity studied with MR imaging" 22 : 294-300, 2001

23 Wengenroth M, "Diagnostic benefits of presurgical fMRI in patients with brain tumours in the primary sensorimotor cortex" 21 : 1517-1525, 2011

24 Fox MD, "Clinical applications of resting state functional connectivity" 4 : 19-, 2010

25 Belyaev AS, "Clinical applications of functional MR imaging" 21 : 269-278, 2013

26 Mannfolk P, "Can resting-state functional MRI serve as a complement to task-based mapping of sensorimotor function? A test-retest reliability study in healthy volunteers" 34 : 511-517, 2011

27 Fraga de Abreu VH, "Brain tumors: the influence of tumor type and routine MR imaging characteristics at BOLD functional MR imaging in the primary motor gyrus" 281 : 876-883, 2016