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Multitask Language Mapping to Visualize the Spatial Configuration of Polyfunctional Language Cortex.

Omar Chishti1,2, Evan Collins1,3, Hari Mcgrath1,4

  • 1Yale Clinical Neuroscience Group for Neuroanalytics, Yale School of Medicine, New Haven, CT.

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|October 22, 2025
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Summary
This summary is machine-generated.

Multitask direct electrical stimulation (DES) precisely maps the brain's language network, revealing a core region and improving surgical planning. A focused task set captures over 99% of language sites efficiently.

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Area of Science:

  • Neuroscience
  • Neurosurgery
  • Cognitive Science

Background:

  • Direct electrical stimulation (DES) is the gold standard for mapping eloquent language cortex.
  • Single-task mapping may miss modality-specific or distributed language areas.
  • Defining polyfunctional language cortex requires advanced mapping techniques.

Purpose of the Study:

  • To define the spatial extent of polyfunctional language cortex using multitask DES.
  • To integrate multitask DES with the Yale Brain Atlas (YBA) for precise anatomical localization.
  • To supplement DES findings with population-based structural connectivity data.

Main Methods:

  • Retrospective analysis of 15 patients with drug-resistant epilepsy undergoing extraoperative DES language mapping.
  • Six language tasks administered: visual/auditory naming, reading, repetition, auditory/written comprehension.
  • Responses mapped to YBA, aggregated, and analyzed for intertask correlations; structural connectivity assessed via tractography.

Main Results:

  • Multitask DES identified a reproducible language core (superior temporal gyrus, pars triangularis, supramarginal gyrus, basal temporal area).
  • A tiered task strategy (visual naming, auditory naming, reading) captured >99% of language sites.
  • Structural connectivity analysis revealed significant involvement of arcuate fasciculus, parietal aslant tract, and superior longitudinal fasciculus.

Conclusions:

  • Multitask DES with YBA provides a precise, reproducible platform for language mapping.
  • A focused task set is efficient and sensitive for identifying language areas.
  • Integrating DES with structural connectivity offers network-level insights for surgical planning and understanding language representation.