Rest-fMRI—A Potential Substitute for Task-fMRI?

Abstract

Objective The aim of this study was to assess the reliability of resting-state functional magnetic resonance imaging (rest-fMRI) in mapping language areas for preoperative planning, versus standard task-based techniques, which are at times difficult to perform in clinical settings. Our study also aimed to evaluate the overlap between language areas identified through rest-fMRI and the standard task-fMRI, in neurosurgical cases.

Materials and Methods Using a seed-based analysis of rest-fMRI with multiple template seeds, we identified functionally connected language regions in patients undergoing preoperative language mapping. Four language task paradigms (word, verb, picture, and semantics) were evaluated. We quantified the degree of overlap between language areas identified on rest-fMRI and task-fMRI, categorizing the results as more than 50% or less than 50% overlap.

Results Seventy-seven percent of patients demonstrated an overlap exceeding 50% between rest- and task-fMRI maps, with the left Broca's area being the most frequently observed region of overlap. This finding was noted even in cases with lesions in Broca's or Wernicke's areas, highlighting the method's robustness. The verb task showed the best blood-oxygen-level dependent activity and overlap with rest-fMRI, highlighting its reliability. To identify a specific language area, the contralateral seed of the same area most commonly displayed connectivity with the area of interest.

Conclusion Our findings demonstrate the potential of using rest-fMRI in accurately mapping eloquent language areas, in clinical settings The strong concordance observed, especially in the left Broca's area, underscores the reliability of this method. Further research and larger studies are essential to validate these results, potentially establishing the use of routine rest-fMRI, in clinical preoperative workup.

Keywords

resting-state functional MRI - magnetic resonance imaging - neurosurgical cases - task-fMRI

Author Contributions

S.S.G. contributed to concept, design, definition of intellectual content, literature search, manuscript preparation, manuscript editing, data acquisition, and data analysis. R.S. helped in manuscript preparation, manuscript editing, literature search, and data analysis. S.M. was involved in data analysis, design, manuscript editing, and literature search. We thank and acknowledge Ms. Aditi Erande for helping in statistical analysis of our study.

Publikationsverlauf

Artikel online veröffentlicht:
13. Mai 2024

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