The Listening Zone of Human Electrocorticographic Field Potential Recordings.
Meredith J McCartyOscar WoolnoughJohn C MosherJohn SeymourNitin TandonPublished in: eNeuro (2022)
Intracranial electroencephalographic (icEEG) recordings provide invaluable insights into neural dynamics in humans because of their unmatched spatiotemporal resolution. Yet, such recordings reflect the combined activity of multiple underlying generators, confounding the ability to resolve spatially distinct neural sources. To empirically quantify the listening zone of icEEG recordings, we computed correlations between signals as a function of distance (full width at half maximum; FWHM) between 8752 recording sites in 71 patients (33 female) implanted with either subdural electrodes (SDEs), stereo-encephalography electrodes (sEEG), or high-density sEEG electrodes. As expected, for both SDEs and sEEGs, higher frequency signals exhibited a sharper fall off relative to lower frequency signals. For broadband high γ (BHG) activity, the mean FWHM of SDEs (6.6 ± 2.5 mm) and sEEGs in gray matter (7.14 ± 1.7 mm) was not significantly different; however, FWHM for low frequencies recorded by sEEGs was 2.45 mm smaller than SDEs. White matter sEEGs showed much lower power for frequencies 17-200 Hz (q < 0.01) and a much broader decay (11.3 ± 3.2 mm) than gray matter electrodes (7.14 ± 1.7 mm). The use of a bipolar referencing scheme significantly lowered FWHM for sEEGs, relative to a white matter reference or a common average reference (CAR). These results outline the influence of array design, spectral bands, and referencing schema on local field potential recordings and source localization in icEEG recordings in humans. The metrics we derive have immediate relevance to the analysis and interpretation of both cognitive and epileptic data.
Keyphrases
- white matter
- high density
- end stage renal disease
- ejection fraction
- endothelial cells
- solid state
- newly diagnosed
- chronic kidney disease
- carbon nanotubes
- multiple sclerosis
- risk assessment
- magnetic resonance imaging
- human health
- prognostic factors
- optical coherence tomography
- high resolution
- mass spectrometry
- electronic health record
- artificial intelligence
- climate change
- optic nerve
- induced pluripotent stem cells
- deep learning
- diffusion weighted imaging