2021
DOI: 10.1088/1741-2552/abd460 View full text |Buy / Rent full text
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Abstract: Objective. Large channel count surface-based electrophysiology arrays (e.g. µECoG) are high-throughput neural interfaces with good chronic stability. Electrode spacing remains ad hoc due to redundancy and nonstationarity of field dynamics. Here, we establish a criterion for electrode spacing based on the expected accuracy of predicting unsampled field potential from sampled sites. Approach. We applied spatial covariance modeling and field prediction techniques based on geospatial kriging to quantify sufficient… Show more

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“…However, assuming that the electric field in the <300 Hz frequency range is smooth between recording sites, our spatial averaging analysis provides a useful proxy for the signal observed when using larger area contacts. 30 This result is notable given that the majority (81%) of microseizures detected in our recordings occurred on only one or two contacts at a time.…”
Section: Discussionmentioning
“…Unlike work in nonhuman primates ( Xing et al, 2009 ; Dubey and Ray, 2019 , 2020 ), the location and design of neural probes in humans are largely limited to clinical application, making confident parameterization difficult. Despite these limitations, previous research has compared recording scale in humans ( Kellis et al, 2016 ; Muller et al, 2016 ; Halgren et al, 2018 ; Lai et al, 2018 ; Trumpis et al, 2021 ) to disambiguate the uncertain properties of neural activity captured by different electrodes.…”
Section: Discussionmentioning
“…In contrast, the location and design of neural probes in humans are largely limited to clinical application, making confident parameterization difficult. Despite these limitations, previous research has compared recording scale in humans (Halgren et al 2018;Kellis et al 2016;Lai et al 2018;Muller et al 2016;Trumpis et al 2021) in order to disambiguate the uncertain properties of neural activity captured by different electrodes.…”
Section: Comparison With Previous Studiesmentioning
“…Field potentials like ECoG, in particular, are potentially challenging to model because they are spatially and temporally rich. ECoG contains broadband information spanning a wide range of frequencies at varying power scales, and represents larger spatial scales than spiking activity while also capturing highly local spiking activity [13, 3, 14]. These properties also make ECoG a promising modality for neural engineering applications [15, 16].…”
Section: Introductionmentioning
“…Work in other domains have shown the ability to resolve micro-scale neural features using high density micro-electrocorticography (µECoG) arrays in both rodents and non-human primates [27][28][29][30] . This highresolution electrode technology also enabled the identification of micro-scale epileptic signatures of seizure-onset-zones in epileptic patients [31][32][33][34][35] and have shown improvements in motor neural prostheses by resolving the motor cortex at millimeter level resolution [36][37][38][39] . These results show highresolution neural interfaces can enable recording of micro-scale articulatory features from SMC, leading to high-performance neural speech prosthesis.…”
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