Korean J Radiol.  2019 Jan;20(1):171-179. 10.3348/kjr.2018.0004.

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

Affiliations
  • 1Department of Radiology, Hanyang University Hospital, Hanyang University College of Medicine, Seoul, Korea.
  • 2Department of Radiology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. ahn-kj@catholic.ac.kr

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.

Keyword

Resting-state functional MRI; Brain tumor; Brain mapping; BOLD

MeSH Terms

Brain Mapping
Brain Neoplasms
Glioma
Healthy Volunteers
Humans
Magnetic Resonance Imaging*
Meningioma
Motor Cortex*

Figure

  • Fig. 1 Patient group scoring criteria. Classification is divided into scores of 0-2, as follows. A. Score of 0: rsfMRI reveals no signal on left motor cortex. B. Score of 1: rsfMRI reveals detectable signal in left motor cortex. C. Score of 2: rsfMRI reveals strong signal in left motor cortex. All images are demonstrated left-on-left (neurologic convention). rsfMRI = resting-state functional MRI

  • Fig. 2 Patient group representative case. Axial contrast-enhanced T1-weighted image (A) showing well-enhanced extra-axial mass, which was confirmed to be meningioma of left parasagittal area. Template seed (B) rsfMRI attained score of 1 in left motor cortex using seed based on anatomically expected location of contralateral motor cortex. Functional seed (C) rsfMRI attained score of 2 in left motor cortex using seed based on contralateral motor cortex location determined by tbfMRI. Functional seed analysis attained stronger signal than template seed analysis. Furthermore, ICA map (D) of rsfMRI attained score of 2 in left motor cortex. All images are demonstrated left-on-left (neurologic convention). ICA = independent component analysis, tbfMRI = task-based functional MRI

  • Fig. 3 Healthy volunteer representative case. tbfMRI map (A) demonstrating results of left hand finger tapping to activate right motor cortex. tbfMRI map (A) was used as reference. When compared with tbfMRI (A), template seed (B) rsfMRI attained score of 1 in right motor cortex using anatomically expected left motor cortex location. When compared with tbfMRI (A), functional seed (C) rsfMRI attained score of 2 in right motor cortex using left motor cortex location determined by tbfMRI. ICA map (D) of rsfMRI attained score 2 in right motor cortex. All images are demonstrated left-on-left (neurologic convention).


Reference

1. Lee MH, Smyser CD, Shimony JS. Resting-state fMRI: a review of methods and clinical applications. AJNR Am J Neuroradiol. 2013; 34:1866–1872.
Article
2. Kamran M, Hacker CD, Allen MG, Mitchell TJ, Leuthardt EC, Snyder AZ, et al. Resting-state blood oxygen level-dependent functional magnetic resonance imaging for presurgical planning. Neuroimaging Clin N Am. 2014; 24:655–669.
Article
3. Lang S, Duncan N, Northoff G. Resting-state functional magnetic resonance imaging: review of neurosurgical applications. Neurosurgery. 2014; 74:453–464. discussion 464-465.
4. Schneider FC, Pailler M, Faillenot I, Vassal F, Guyotat J, Barral FG, et al. Presurgical assessment of the sensorimotor cortex using resting-state fMRI. AJNR Am J Neuroradiol. 2016; 37:101–107.
Article
5. Wengenroth M, Blatow M, Guenther J, Akbar M, Tronnier VM, Stippich C. Diagnostic benefits of presurgical fMRI in patients with brain tumours in the primary sensorimotor cortex. Eur Radiol. 2011; 21:1517–1525.
Article
6. Fox MD, Greicius M. Clinical applications of resting state functional connectivity. Front Syst Neurosci. 2010; 4:19.
Article
7. Tyndall AJ, Reinhardt J, Tronnier V, Mariani L, Stippich C. Presurgical motor, somatosensory and language fMRI: technical feasibility and limitations in 491 patients over 13 years. Eur Radiol. 2017; 27:267–278.
8. Kokkonen SM, Nikkinen J, Remes J, Kantola J, Starck T, Haapea M, et al. Preoperative localization of the sensorimotor area using independent component analysis of resting-state fMRI. Magn Reson Imaging. 2009; 27:733–740.
Article
9. Quigley M, Cordes D, Wendt G, Turski P, Moritz C, Haughton V, et al. Effect of focal and nonfocal cerebral lesions on functional connectivity studied with MR imaging. AJNR Am J Neuroradiol. 2001; 22:294–300.
10. Shimony JS, Zhang D, Johnston JM, Fox MD, Roy A, Leuthardt EC. Resting-state spontaneous fluctuations in brain activity: a new paradigm for presurgical planning using fMRI. Acad Radiol. 2009; 16:578–583.
11. Zhang D, Johnston JM, Fox MD, Leuthardt EC, Grubb RL, Chicoine MR, et al. Preoperative sensorimotor mapping in brain tumor patients using spontaneous fluctuations in neuronal activity imaged with functional magnetic resonance imaging: initial experience. Neurosurgery. 2009; 65:6 Suppl. 226–236.
Article
12. Otten ML, Mikell CB, Youngerman BE, Liston C, Sisti MB, Bruce JN, et al. Motor deficits correlate with resting state motor network connectivity in patients with brain tumours. Brain. 2012; 135(Pt 4):1017–1026.
Article
13. Cordes D, Haughton VM, Arfanakis K, Wendt GJ, Turski PA, Moritz CH, et al. Mapping functionally related regions of brain with functional connectivity MR imaging. AJNR Am J Neuroradiol. 2000; 21:1636–1644.
14. Liu H, Buckner RL, Talukdar T, Tanaka N, Madsen JR, Stufflebeam SM. Task-free presurgical mapping using functional magnetic resonance imaging intrinsic activity. J Neurosurg. 2009; 111:746–754.
Article
15. Mannfolk P, Nilsson M, Hansson H, Ståhlberg F, Fransson P, Weibull A, et al. Can resting-state functional MRI serve as a complement to task-based mapping of sensorimotor function? A test-retest reliability study in healthy volunteers. J Magn Reson Imaging. 2011; 34:511–517.
Article
16. Rosazza C, Aquino D, D'Incerti L, Cordella R, Andronache A, Zacà D, et al. Preoperative mapping of the sensorimotor cortex: comparative assessment of task-based and resting-state FMRI. PLoS One. 2014; 9:e98860.
Article
17. Hou BL, Bhatia S, Carpenter JS. 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. Neuroimage Clin. 2016; 11:378–387.
Article
18. Rutten GJ, Ramsey NF. The role of functional magnetic resonance imaging in brain surgery. Neurosurg Focus. 2010; 28:E4.
Article
19. Belyaev AS, Peck KK, Brennan NM, Holodny AI. Clinical applications of functional MR imaging. Magn Reson Imaging Clin N Am. 2013; 21:269–278.
Article
20. Yahyavi-Firouz-Abadi N, Pillai JJ, Lindquist MA, Calhoun VD, Agarwal S, Airan RD, et al. Presurgical brain mapping of the ventral somatomotor network in patients with brain tumors using resting-state fMRI. AJNR Am J Neuroradiol. 2017; 38:1006–1012.
Article
21. Sair HI, Yahyavi-Firouz-Abadi N, Calhoun VD, Airan RD, Agarwal S, Intrapiromkul J, et al. Presurgical brain mapping of the language network in patients with brain tumors using resting-state fMRI: comparison with task fMRI. Hum Brain Mapp. 2016; 37:913–923.
22. Rosazza C, Minati L, Ghielmetti F, Mandelli ML, Bruzzone MG. Functional connectivity during resting-state functional MR imaging: study of the correspondence between independent component analysis and region-of-interest-based methods. AJNR Am J Neuroradiol. 2012; 33:180–187.
Article
23. Joel SE, Caffo BS, van Zijl PC, Pekar JJ. On the relationship between seed-based and ICA-based measures of functional connectivity. Magn Reson Med. 2011; 66:644–657.
Article
24. Biswal B, Yetkin FZ, Haughton VM, Hyde JS. Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn Reson Med. 1995; 34:537–541.
Article
25. Margulies DS, Böttger J, Long X, Lv Y, Kelly C, Schäfer A, et al. Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity. MAGMA. 2010; 23:289–307.
Article
26. van den Heuvel MP, Hulshoff Pol HE. Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010; 20:519–534.
Article
27. Fraga de Abreu VH, Peck KK, Petrovich-Brennan NM, Woo KM, Holodny AI. Brain tumors: the influence of tumor type and routine MR imaging characteristics at BOLD functional MR imaging in the primary motor gyrus. Radiology. 2016; 281:876–883.
Article
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