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

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


BACKGROUND AND PURPOSE: Resting-state fMRI readily identifies the dorsal but less consistently the ventral somatomotor network. Our aim was to assess the relative utility of resting-state fMRI in the identification of the ventral somatomotor network via comparison with task-based fMRI in patients with brain tumor. MATERIALS AND METHODS: We identified 26 surgically naïve patients referred for presurgical fMRI brain mapping who had undergone both satisfactory ventral motor activation tasks and resting-state fMRI. Following standard preprocessing for task-based fMRI and resting-state fMRI, general linear model analysis of the ventral motor tasks and independent component analysis of resting-state fMRI were performed with the number of components set to 20, 30, 40, and 50. Visual overlap of task-based fMRI and resting-state fMRI at different component levels was assessed and categorized as full match, partial match, or no match. Rest-versus-task-fMRI concordance was calculated with Dice coefficients across varying fMRI thresholds before and after noise removal. Multithresholded Dice coefficient volume under the surface was calculated. RESULTS: The ventral somatomotor network was identified in 81% of patients. At the subject level, better matches between resting-state fMRI and task-based fMRI were seen with an increasing order of components (53% of cases for 20 components versus 73% for 50 components). Noise-removed group-mean volume under the surface improved as component numbers increased from 20 to 50, though ANOVA demonstrated no statistically significant difference among the 4 groups. CONCLUSIONS: In most patients, the ventral somatomotor network can be identified with an increase in the probability of a better match at a higher component number. There is variable concordance of the ventral somatomotor network at the single-subject level between resting-state and task-based fMRI.

Original languageEnglish (US)
Pages (from-to)1006-1012
Number of pages7
JournalAmerican Journal of Neuroradiology
Issue number5
StatePublished - May 2017

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Clinical Neurology


Dive into the research topics of 'Presurgical brain mapping of the ventral somatomotor network in patients with brain tumors using resting-state fMRI'. Together they form a unique fingerprint.

Cite this