title: Presurgical Brain Mapping of the Ventral Somatomotor Network in Patients with Brain Tumors Using Resting-State fMRI.
abstract: OBJECTIVE
  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.
  
  
  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.
authors.affiliation: From the Department of Radiology (N.Y.-F.-A.), Mid-Atlantic Permanente Medical Group of Kaiser Permanente, Kensington, Maryland nyahyavi@gmail.com.|Division 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.
authors.forename: N
authors.identifier: http://orcid.org/0000-0002-0527-1593
authors.initials: N
authors.lastname: Yahyavi-Firouz-Abadi
authors.affiliation: Division 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.
authors.forename: J J
authors.identifier: http://orcid.org/0000-0002-8306-7192
authors.initials: JJ
authors.lastname: Pillai
authors.affiliation: Department of Biostatistics (M.A.L., B.C.), Johns Hopkins University, Baltimore, Maryland.
authors.forename: M A
authors.identifier: http://orcid.org/0000-0003-2289-0828
authors.initials: MA
authors.lastname: Lindquist
authors.affiliation: The Mind Research Network (S.A., V.D.C.), Departments of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico.
authors.forename: V D
authors.identifier: http://orcid.org/0000-0001-9058-0747
authors.initials: VD
authors.lastname: Calhoun
authors.affiliation: Division 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.|The Mind Research Network (S.A., V.D.C.), Departments of Electrical and Computer Engineering, University of New Mexico, Albuquerque, New Mexico.
authors.forename: S
authors.identifier: http://orcid.org/0000-0003-0902-5354
authors.initials: S
authors.lastname: Agarwal
authors.affiliation: Division 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.
authors.forename: R D
authors.identifier: http://orcid.org/0000-0001-5259-5606
authors.initials: RD
authors.lastname: Airan
authors.affiliation: Department of Biostatistics (M.A.L., B.C.), Johns Hopkins University, Baltimore, Maryland.
authors.forename: B
authors.identifier: http://orcid.org/0000-0002-0793-9497
authors.initials: B
authors.lastname: Caffo
authors.affiliation: Division 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.
authors.forename: S K
authors.identifier: http://orcid.org/0000-0003-3343-5687
authors.initials: SK
authors.lastname: Gujar
authors.affiliation: Division 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.
authors.forename: H I
authors.identifier: http://orcid.org/0000-0002-5077-0471
authors.initials: HI
authors.lastname: Sair
mesh_terms: D001931:Brain Mapping / Q000379:methods*; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000601:surgery; D005260:Female; D006801:Humans; D016014:Linear Models; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D009434:Neural Pathways / Q000000981:diagnostic imaging*; D013003:Somatosensory Cortex / Q000000981:diagnostic imaging*