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Spatiotemporal phase clusters and phase synchronization patterns derived from high density EEG and ECoG recordings.
1Department of Electrical Engineering, University of Washington, Seattle, WA 98195, USA; Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland.
Current Opinion in Neurobiology
|December 3, 2014
Summary
High-density electroencephalography (EEG) and electrocorticography (ECoG) reveal unique brain wave patterns. These patterns, particularly phase clustering in epilepsy, can help identify diseased brain regions.
Area of Science:
- Neuroscience
- Computational Neuroscience
- Signal Processing
Background:
- High-density scalp electroencephalography (EEG) and subdural electrocorticography (ECoG) offer high spatial resolution for mapping cortical electrical activity.
- Spatial power spectral densities of cortical activity often follow a power law distribution, with some nonlinear variations.
- Spatiotemporal phase patterns exhibit unique features like amplitude and phase modulation waves and spatial phase clustering.
Purpose of the Study:
- To analyze unique spatiotemporal phase patterns derived from high-density EEG and ECoG recordings.
- To investigate the relationship between these unique patterns and different cognitive states.
- To differentiate between normal and diseased brain states using these electrophysiological markers.
Main Methods:
- Utilizing high-density scalp EEG and subdural ECoG recordings.
- Analyzing spatial power spectral densities and spatiotemporal phase patterns.
- Comparing the rate of formation of phase cluster patterns in epileptogenic zones versus normal brain areas using seizure-free interictal EEG data.
Main Results:
- Spatiotemporal phase patterns demonstrate unique features, including amplitude/phase modulation and spatial phase clustering.
- These unique patterns are indicative of different cognitive states and distinguish between normal and diseased brain conditions.
- The rate of phase cluster pattern formation is significantly higher in epileptogenic zones compared to adjacent normal brain regions in seizure-free interictal EEG data.
Conclusions:
- Unique spatiotemporal phase patterns derived from EEG and ECoG are valuable biomarkers for cognitive states and brain health.
- The increased rate of phase cluster formation in epileptogenic zones offers a potential method for identifying seizure onset regions.
- These findings highlight the potential of advanced EEG/ECoG analysis for neurological diagnostics and research.
