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Disrupted functional connectivity affects resting state based language lateralization.

Alex Teghipco1, Ali Hussain2, Madalina E Tivarus3

  • 1Rochester Center for Brain Imaging, University of Rochester, USA.

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|November 25, 2016
PubMed
Summary
This summary is machine-generated.

Resting-state fMRI (rs-fMRI) shows promise for pre-operative brain mapping, but current methods for assessing language lateralization are inadequate. A simpler connectivity measure to specific frontal and parietal regions shows promise for reliable language mapping.

Keywords:
Intrinsic functional connectivityLanguage lateralizationLesionsResting state

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Area of Science:

  • Neuroimaging
  • Neurology
  • Cognitive Neuroscience

Background:

  • Pre-operative language mapping is crucial for preserving brain function during surgery.
  • Task-based functional MRI (t-fMRI) is the standard, but requires patient cooperation.
  • Resting-state fMRI (rs-fMRI) offers a task-independent alternative.

Purpose of the Study:

  • To evaluate if rs-fMRI can replace t-fMRI for pre-operative language lateralization.
  • To identify reliable rs-fMRI metrics for language network assessment.

Main Methods:

  • Compared language lateralization from rs-fMRI and t-fMRI in 43 patients and 17 controls.
  • Investigated interhemispheric and intrahemispheric functional connectivity.
  • Assessed connectivity between the language network and frontal/parietal regions.

Main Results:

  • Existing rs-fMRI connectivity methods were inadequate for language lateralization compared to t-fMRI.
  • Patient language networks showed widespread, nuanced functional connectivity disturbances, influenced by lesion location.
  • Connectivity between the language network and frontal pole, superior frontal gyrus, and supramarginal gyrus correlated with t-fMRI lateralization.

Conclusions:

  • Standard rs-fMRI connectivity measures are insufficient for pre-operative language lateralization.
  • A simplified rs-fMRI approach focusing on specific frontal and parietal connections shows potential for reliable language mapping.
  • This offers a framework for task-independent pre-operative language lateralization.