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Updated: Mar 19, 2026
Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
Published on: June 26, 2012
In Vivo Tumour Mapping Using Electrocorticography Alterations During Awake Brain Surgery: A Pilot Study
Salah Boussen1,2, Lionel Velly3, Christian Benar4
1Department of Anaesthesiology and Intensive Care, CHU Timone, Assistance Publique Hôpitaux de Marseille, Aix Marseille Université, 264 rue Saint-Pierre, 13005, Cedex 5 Marseille, France. salah.boussen@ifsttar.fr.
Electrocorticography (ECoG) analysis reveals distinct electrical patterns in brain tumors during awake surgery. These spectral and connectivity changes help identify and map tumors, with neural networks achieving high classification accuracy.
Area of Science:
- Neuroscience
- Neurosurgery
- Biomedical Engineering
Background:
- Intraoperative electroencephalography (ECoG) is crucial for identifying eloquent brain areas during awake surgery.
- Tumor mapping using ECoG requires understanding alterations in electrical activity.
Purpose of the Study:
- To analyze ECoG spectral and connectivity patterns in cortical and subcortical brain tumors.
- To assess the potential of automated classification algorithms for tumor electrode identification.
Main Methods:
- ECoG recordings from 16 patients with cortical and subcortical tumors during awake surgery.
- Frequency and connectivity analyses of tumorous and healthy brain regions.
- Implementation of clustering and neural network algorithms for electrode classification.
Main Results:
- Cortical tumors significantly altered spectral content, increasing delta and decreasing other bands, with heightened connectivity.
- Subcortical tumors showed decreased gamma1 and alpha band amplitudes.
- A neural network classifier achieved 93.6% accuracy in electrode classification.
Conclusions:
- Significant spectral and connectivity ECoG changes aid in recognizing cortical tumors.
- Artificial neural network pattern recognition shows promise for intraoperative electrode classification in tumor surgery.
