Identification of the somatomotor network from language task-based fMRI compared with resting-state fMRI in patients with brain lesions

Elham Beheshtian, Rozita Jalilianhasanpour, Amirali Modir Shanechi, Varun Sethi, Guoqing Wang, Martin A. Lindquist, Brian S. Caffo, Shruti Agarwal, Jay J. Pillai, Sachin K. Gujar, Haris I. Sair

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Resting-state functional MRI (rs-fMRI) is a potential alternative to task-based functional MRI (tb-fMRI) for somatomotor network (SMN) identification. Brain networks can also be generated from tb-fMRI by using independent component analysis (ICA). Purpose: To investigate whether the SMN can be identified by using ICA from a language task without a motor component, the sentence completion functional MRI (sc-fMRI) task, compared with rs-fMRI. Materials and Methods: The sc-fMRI and rs-fMRI scans in patients who underwent presurgical brain mapping between 2012 and 2016 were analyzed, using the same imaging parameters (other than scanning time) on a 3.0-T MRI scanner. ICA was performed on rs-fMRI and sc-fMRI scans with use of a tool to separate data sets into their spatial and temporal components. Two neuroradiologists independently determined the presence of the dorsal SMN (dSMN) and ventral SMN (vSMN) on each study. Groups were compared by using t tests, and logistic regression was performed to identify predictors of the presence of SMNs. Results: One hundred patients (mean age, 40.9 years ± 14.8 [standard deviation]; 61 men) were evaluated. The dSMN and vSMN were identified in 86% (86 of 100) and 76% (76 of 100) of rs-fMRI scans and 85% (85 of 100) and 69% (69 of 100) of sc-fMRI scans, respectively. The concordance between rs-fMRI and sc-fMRI for presence of dSMN and vSMN was 75% (75 of 100 patients) and 53% (53 of 100 patients), respectively. In 10 of 14 patients (71%) where rs-fMRI did not show the dSMN, sc-fMRI demonstrated it. This rate was 67% for the vSMN (16 of 24 patients). Conclusion: In the majority of patients, independent component analysis of sentence completion task functional MRI scans reliably demonstrated the somatomotor network compared with resting-state functional MRI scans. Identifying target networks with a single sentence completion scan could reduce overall functional MRI scanning times by eliminating the need for separate motor tasks.

Original languageEnglish (US)
Pages (from-to)178-184
Number of pages7
JournalRADIOLOGY
Volume301
Issue number1
DOIs
StatePublished - Oct 2021

Keywords

  • Educational process
  • Electronic course
  • Electronic learning
  • Mixed learning
  • Online learning
  • Smart education

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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