Evidence map›Paper›PMID 32498058›Full record

ArticleJournal of neural engineering2020

A modular high-density μECoG system on macaque vlPFC for auditory cognitive decoding.

Chia-Han Chiang, Jaejin Lee, Charles Wang, Ashley J Williams, Timothy H Lucas, Yale E Cohen, Jonathan Viventi

Open access · greenAbstract read
In one paragraph

Article in Journal of neural engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Chia-Han ChiangDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.ORCID 0000-0002-4010-1266
Jaejin LeeDepartment of Otorhinolaryngology, University of Pennsylvania, Pennsylvania, PA, United States of America.
Charles WangDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.
Ashley J WilliamsDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.
Timothy H LucasDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States of America.
Yale E CohenDepartment of Otorhinolaryngology, University of Pennsylvania, Pennsylvania, PA, United States of America.
Jonathan ViventiDepartment of Biomedical Engineering, Duke University, Durham, NC, United States of America.ORCID 0000-0001-6054-0541
Duke University · USUniversity of Pennsylvania · US

Funding

Auditory response properties of the prefrontal cortexR01DC007172 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI COHEN, YALE E · 2005 to 2009
$1.1M
NIDCD NIH HHS R01 DC007172
6 · The paper itself

Abstract

objectiveA fundamental goal of the auditory system is to parse the auditory environment into distinct perceptual representations. Auditory perception is mediated by the ventral auditory pathway, which includes the ventrolateral prefrontal cortex (vlPFC). Because large-scale recordings of auditory signals are quite rare, the spatiotemporal resolution of the neuronal code that underlies vlPFC's contribution to auditory perception has not been fully elucidated. Therefore, we developed a modular, chronic, high-resolution, multi-electrode array system with long-term viability in order to identify the information that could be decoded from μECoG vlPFC signals. APPROACH: We molded three separate μECoG arrays into one and implanted this system in a non-human primate. A custom 3D-printed titanium chamber was mounted on the left hemisphere. The molded 294-contact μECoG array was implanted subdurally over the vlPFC. μECoG activity was recorded while the monkey participated in a 'hearing-in-noise' task in which they reported hearing a 'target' vocalization from a background 'chorus' of vocalizations. We titrated task difficulty by varying the sound level of the target vocalization, relative to the chorus (target-to-chorus ratio, TCr). MAIN

resultsWe decoded the TCr and the monkey's behavioral choices from the μECoG signal. We analyzed decoding accuracy as a function of number of electrodes, spatial resolution, and time from implantation. Over a one-year period, we found significant decoding with individual electrodes that increased significantly as we decoded simultaneously more electrodes. Further, we found that the decoding for behavioral choice was better than the decoding of TCr. Finally, because the decoding accuracy of individual electrodes varied on a day-by-day basis, electrode arrays with high channel counts ensure robust decoding in the long term. SIGNIFICANCE: Our results demonstrate the utility of high-resolution and high-channel-count, chronic µECoG recording. We developed a surface electrode array that can be scaled to cover larger cortical areas without increasing the chamber footprint.

Indexed as

Auditory CortexMacacaAnimalsAuditory PerceptionCerebral CortexCognitionElectrodes

Identifiers

PMID32498058
PMCPMC7906089
OpenAlexW3033702419

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.