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Subject-specific Functional ROIs Enhance Reliability in Language FMRI.

Julia My Van Kube1, Luisa Katrin Thomas1, Peter Dechent2

  • 1Department of Diagnostic and Interventional Neuroradiology, University Medical Center Göttingen, Robert-Koch-Straße 40, 37075, Göttingen, Germany.

Clinical Neuroradiology
|July 9, 2025
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Summary

Functional MRI (fMRI) aids presurgical planning by identifying language areas. This study found subject-specific functional regions of interest offer more reliable fMRI results than anatomical regions for clinical language mapping.

Keywords:
Functional magnetic resonance imagingFunctional regions of interestIndividual-subject analysesLanguage mapping

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Area of Science:

  • Neuroimaging
  • Cognitive Neuroscience
  • Clinical Neurology

Background:

  • Functional magnetic resonance imaging (fMRI) is crucial for presurgical diagnostics, enabling the identification of individual language-sensitive brain regions.
  • Improving functional postoperative outcomes relies on accurate localization of these critical language areas before surgery.
  • Standardized language tasks need validation for clinical settings, considering effectiveness, robustness, and reliability within practical timeframes.

Purpose of the Study:

  • To adapt and validate a proven language task in German for clinical use with functional MRI (fMRI).
  • To assess the effectiveness, robustness, and reliability of the adapted fMRI language task within a clinically relevant time frame.
  • To compare two distinct analysis approaches for deriving contrast maps and address the issue of arbitrary statistical thresholds in routine clinical practice.

Main Methods:

  • Twenty-four healthy volunteers underwent 3 Tesla MRI scans on two separate days, with the language task administered twice per session.
  • The fMRI task employed a block design, contrasting the reading of sentences with pronounceable nonword lists.
  • Brain activity was quantified using both subject-specific, functionally defined regions of interest (ROIs) and standardized, anatomically defined ROIs, comparing their reliability and effect sizes.

Main Results:

  • Both subject-specific functional ROIs and anatomical ROIs demonstrated significant positive effect sizes in the left hemisphere's language-sensitive regions.
  • Subject-specific functional ROIs yielded significantly larger effect sizes compared to anatomical ROIs.
  • The reliability of effect sizes across sessions was higher when using subject-specific functional ROIs.

Conclusions:

  • The selection of the analysis method critically impacts the results of fMRI language mapping.
  • For clinical fMRI paradigms characterized by short measurement times and minimal signal change, the subject-specific functional ROIs approach is strongly recommended.
  • This approach enhances the reliability and sensitivity of identifying language-sensitive brain regions in a clinical context.