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Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

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Spatial resolution dependence on spectral frequency in human speech cortex electrocorticography.

Leah Muller¹, Liberty S Hamilton, Erik Edwards

¹Department of Neurological Surgery and Department of Physiology, University of California, San Francisco, 675 Nelson Rising Lane, Room 511, San Francisco, CA 94158, USA. Joint Program in Bioengineering, UC Berkeley/UC San Francisco, USA. Medical Scientist Training Program, UC San Francisco, USA.

Journal of Neural Engineering

|September 1, 2016

Summary

Electrocorticography (ECoG) spatial resolution depends on neural signal frequency. High-frequency signals (gamma, 30-150 Hz) decorrelate at 4 mm, suggesting smaller electrode arrays improve resolution for these signals.

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Area of Science:

Neuroscience
Neural Engineering

Background:

Electrocorticography (ECoG) is crucial for human neuroscience and neural interface technology.
Optimizing electrode array design requires understanding neural signal characteristics.

Purpose of the Study:

Investigate the functional spatial resolution of human cortical surface neural signals.
Derive spatial spread functions to quantify neural activity across ECoG frequency bands.

Main Methods:

Recorded ECoG from five subjects during speech tasks.
Analyzed neural activity from speech cortex using high-density (4 mm spacing) grids.
Quantified signal similarity between electrode pairs using Pearson correlation coefficients across frequency bands.

Main Results:

Neural activity correlation decreased with electrode distance.
Lower frequencies correlated over larger distances than higher frequencies.
Gamma and high gamma frequencies (30-150 Hz) showed <90% correlation at 4 mm spacing.

Conclusions:

ECoG spatial resolution is frequency-dependent.
Smaller electrode spacing (<4 mm) enhances high-frequency signal resolution.
Findings are consistent across patients and cortical areas.