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Recording Human Electrocorticographic (ECoG) Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
Published on: June 26, 2012
Language mapping in multilingual patients: electrocorticography and cortical stimulation during naming
Mackenzie C Cervenka1, Dana F Boatman-Reich, Julianna Ward
1Department of Neurology, Johns Hopkins University School of Medicine Baltimore, MD, USA.
Frontiers in Human Neuroscience
|March 5, 2011
Summary
Electrocorticography (ECoG) with high gamma augmentation (HGA) mapping can identify language-specific brain sites missed by electrocortical stimulation mapping (ESM). This technique aids epilepsy surgery planning for multilingual patients, preventing post-operative language deficits.
Area of Science:
- Neuroscience
- Neurosurgery
- Epileptology
Background:
- Epilepsy surgery planning near language cortex is challenging for multilingual patients due to distinct cortical representations for each language.
- Routine electrocortical stimulation mapping (ESM) may not reveal these language-specific differences.
- Electrocorticography (ECoG) offers a potential method to detect functional brain activation through spectral perturbations.
Purpose of the Study:
- To investigate if ECoG, using broadband high gamma augmentation (HGA), can complement ESM in differentiating the cortical representations of first (L1) and second (L2) languages.
- To assess the predictive value of ECoG spectral mapping for post-operative language deficits.
Main Methods:
- Four adult patients with English as a second language underwent ECoG recordings and ESM during visual object naming tasks in L1 and L2.
- Broadband high gamma augmentation (HGA, 60-150 Hz) was used as an index of cortical activation during ECoG.
- Comparison of ECoG findings with ESM results and post-operative language deficits.
Main Results:
- ECoG identified language-specific activated sites in three of four patients that were not detected by ESM.
- Two patients showed greater ECoG HGA during L2 naming, suggesting increased cortical resource recruitment for the second language.
- Post-operative language deficits in three patients were predicted by ECoG spectral mapping but not by ESM.
Conclusions:
- ECoG spectral mapping, particularly HGA, is a valuable tool to complement ESM for pre-surgical language mapping in multilingual patients.
- Evaluating all utilized languages during pre-surgical mapping is crucial to avoid post-operative functional deficits.
- ECoG HGA mapping may help optimize surgical planning by identifying language-specific cortical areas.

