RT Journal Article SR Electronic T1 Identification of the Language Network from Resting-State fMRI in Patients with Brain Tumors: How Accurate Are Experts? JF American Journal of Neuroradiology JO Am. J. Neuroradiol. FD American Society of Neuroradiology SP 274 OP 282 DO 10.3174/ajnr.A7806 VO 44 IS 3 A1 S.K. Gujar A1 K. Manzoor A1 J. Wongsripuemtet A1 G. Wang A1 D. Ryan A1 S. Agarwal A1 M. Lindquist A1 B. Caffo A1 J.J. Pillai A1 H.I. Sair YR 2023 UL http://www.ajnr.org/content/44/3/274.abstract AB BACKGROUND AND PURPOSE: Resting-state fMRI helps identify neural networks in presurgical patients who may be limited in their ability to undergo task-fMRI. The purpose of this study was to determine the accuracy of identifying the language network from resting-state-fMRI independent component analysis (ICA) maps.MATERIALS AND METHODS: Through retrospective analysis, patients who underwent both resting-state-fMRI and task-fMRI were compared by identifying the language network from the resting-state-fMRI data by 3 reviewers. Blinded to task-fMRI maps, these investigators independently reviewed resting-state-fMRI ICA maps to potentially identify the language network. Reviewers ranked up to 3 top choices for the candidate resting-state-fMRI language map. We evaluated associations between the probability of correct identification of the language network and some potential factors.RESULTS: Patients included 29 men and 14 women with a mean age of 41 years. Reviewer 1 (with 17 years’ experience) demonstrated the highest overall accuracy with 72%; reviewers 2 and 3 (with 2 and 7 years’ experience, respectively) had a similar percentage of correct responses (50% and 55%). The highest accuracy used ICA50 and the top 3 choices (81%, 65%, and 60% for reviewers 1, 2, and 3, respectively). The lowest accuracy used ICA50, limiting each reviewer to the top choice (58%, 35%, and 42%).CONCLUSIONS: We demonstrate variability in the accuracy of blinded identification of resting-state-fMRI language networks across reviewers with different years of experience.BOLDblood oxygen level–dependentICAindependent component analysisrsresting-state