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A library of human electrocorticographic data and analyses.
Kai J Miller1,2
1Department of Neurosurgery, Stanford University, Stanford, CA, USA. miller.kai@mayo.edu.
Nature Human Behaviour
|August 28, 2019
Summary
This study introduces a freely accessible library of human brain electrocorticography (ECoG) data and analysis tools. The resource aims to broaden scientific access to rare electrophysiological recordings for research.
Area of Science:
- Neuroscience
- Biomedical Engineering
- Data Science
Background:
- Electrophysiological data from human brain implants are scarce, limiting research.
- Access to electrocorticography (ECoG) data has been historically exclusive.
Purpose of the Study:
- To create a freely available, curated library of human ECoG data.
- To facilitate broader scientific access to neurophysiological recordings and analyses.
Main Methods:
- Compiled 204 ECoG datasets from 34 patients across 16 behavioral experiments.
- Registered electrode positions to brain anatomy for precise localization.
- Included annotated MATLAB analysis scripts for data interpretation.
Main Results:
- Established a comprehensive ECoG dataset with consistent recording parameters.
- Provided detailed anatomical localization for all electrode placements.
- Integrated analysis scripts to enable reproducible research.
Conclusions:
- The library significantly enhances accessibility to human ECoG data.
- This resource supports diverse neuroscience research and data analysis.
- Promotes open science principles in neurophysiological research.
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