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Updated: May 23, 2026

Translational Brain Mapping at the University of Rochester Medical Center: Preserving the Mind Through Personalized Brain Mapping
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Resting-State Coactivation Patterns of Language Reorganization in Brain Tumors.

Antonio Napolitano1,2, Leonardo Spitoni2, Mehrnaz Jenabi3

  • 1Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA, yale.edu.

Neural Plasticity
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PubMed
Summary

Coactivation pattern (CAP) dynamics reveal brain activity changes related to language reorganization in brain tumor patients. These brain network dynamics can predict postoperative aphasia, aiding surgical planning.

Keywords:
brain tumorscoactivation pattern analysisfunctional MRIlanguage reorganizationresting-state fMRI

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Area of Science:

  • Neuroscience
  • Radiology
  • Neurology

Background:

  • Left-hemisphere brain tumors can cause language reorganization.
  • Understanding functional brain dynamics is crucial for predicting outcomes.
  • Coactivation pattern (CAP) analysis offers insights into brain network activity.

Purpose of the Study:

  • To investigate temporal dynamics of resting-state brain activity in patients with left-hemisphere brain tumors.
  • To correlate these dynamics with language reorganization and postoperative aphasia.
  • To evaluate CAP metrics as biomarkers for predicting surgical outcomes.

Main Methods:

  • Retrospective analysis of 106 patients with left-hemisphere brain tumors.
  • Functional MRI (fMRI) including resting-state and phonemic fluency tasks.
  • Coactivation pattern (CAP) analysis to identify dynamic brain network properties.

Main Results:

  • Atypical language dominance was associated with altered CAP dynamics in the dorsal default mode network (DMN) and visuospatial network (VSN).
  • Higher CAP transitions in VSN predicted no postoperative aphasia.
  • A predictive model combining CAP metrics and language laterality index (LI) showed high accuracy (82.4%) in predicting postoperative aphasia.

Conclusions:

  • Dynamic CAP analysis reveals neural states linked to language dominance and surgical outcomes in brain tumor patients.
  • Specific CAP metrics show potential as imaging biomarkers for functional reorganization.
  • These findings support prognostic evaluation and surgical planning in neuro-oncology.