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Updated: Jan 15, 2026
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Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
Published on: August 12, 2019
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Preoperative Brain Mapping Predicts Language Outcomes After Eloquent Tumor Resection
Matthew T Muir1,2, Kyle Noll3, Sarah Prinsloo1
1Department of Neurosurgery, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.
Human Brain Mapping
|October 16, 2025
Summary
Surgeons can now predict long-term language deficits after glioma surgery using a new non-invasive mapping tool. This approach identifies critical white matter tracts, guiding surgical decisions to preserve language function.
Area of Science:
- Neurosurgery
- Neuroscience
- Medical Imaging
Background:
- Glioma surgery near language areas risks permanent language deficits.
- Current intraoperative mapping relies on subjective judgments, impacting surgical decisions.
- A quantitative, non-invasive method is needed to predict surgical impact on language function.
Purpose of the Study:
- To develop and validate a non-invasive mapping approach for predicting long-term language deficits after glioma resection.
- To quantitatively assess the impact of surgical decisions on language function using preoperative data.
Main Methods:
- Navigated transcranial magnetic stimulation (TMS) language mapping was used preoperatively in 79 patients with gliomas.
- Language-positive sites (TMS points) and white matter tracts (TMS tracts) were identified.
- Postoperative language deficits (PLDs) were correlated with resected TMS tracts and normative tract data.
Main Results:
- Resection of TMS points alone did not predict PLDs.
- Resection of TMS tracts, particularly subcortical segments, significantly predicted PLDs (OR=60).
- A model integrating patient-specific TMS tracts and normative data predicted PLDs with 94% accuracy.
Conclusions:
- Long-term postoperative language deficits result from resecting patient-specific white matter segments.
- A personalized tool integrating TMS mapping, diffusion tractography, and population connectivity can preoperatively predict the linguistic impact of surgical decisions.
- This data-driven approach enhances surgical precision and patient outcomes in glioma surgery.
