Evidence map›Paper›PMID 28442997›Full record

ArticleFrontiers in neural circuits2017

High Spatiotemporal Resolution ECoG Recording of Somatosensory Evoked Potentials with Flexible Micro-Electrode Arrays.

Taro Kaiju, Keiichi Doi, Masashi Yokota, Kei Watanabe, Masato Inoue, Hiroshi Ando, Kazutaka Takahashi, Fumiaki Yoshida, Masayuki Hirata, Takafumi Suzuki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neural circuits, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

46 citing papers in PubMed, 96 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

10 authors at 3 institutions in 2 countries.

Taro KaijuGraduate School of Frontier Biosciences, Osaka UniversityOsaka, Japan.
Keiichi DoiGraduate School of Frontier Biosciences, Osaka UniversityOsaka, Japan.
Masashi YokotaGraduate School of Frontier Biosciences, Osaka UniversityOsaka, Japan.
Kei WatanabeCenter for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka UniversityOsaka, Japan.
Masato InoueCenter for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka UniversityOsaka, Japan.
Hiroshi AndoCenter for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka UniversityOsaka, Japan.
Kazutaka TakahashiDepartment of Organismal Biology and Anatomy, University of ChicagoChicago, IL, USA.
Fumiaki YoshidaCenter for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka UniversityOsaka, Japan.
Masayuki HirataCenter for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka UniversityOsaka, Japan.
Takafumi SuzukiCenter for Information and Neural Networks, National Institute of Information and Communications Technology and Osaka UniversityOsaka, Japan.
Osaka University · JPNational Institute of Information and Communications Technology · JPUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electrocorticogram (ECoG) has great potential as a source signal, especially for clinical BMI. Until recently, ECoG electrodes were commonly used for identifying epileptogenic foci in clinical situations, and such electrodes were low-density and large. Increasing the number and density of recording channels could enable the collection of richer motor/sensory information, and may enhance the precision of decoding and increase opportunities for controlling external devices. Several reports have aimed to increase the number and density of channels. However, few studies have discussed the actual validity of high-density ECoG arrays. In this study, we developed novel high-density flexible ECoG arrays and conducted decoding analyses with monkey somatosensory evoked potentials (SEPs). Using MEMS technology, we made 96-channel Parylene electrode arrays with an inter-electrode distance of 700 μm and recording site area of 350 μm

Indexed as

Brain MappingElectrodes, ImplantedElectroencephalographyAfferent PathwaysAnimalsElectric StimulationEvoked Potentials, SomatosensoryFemaleFingersFourier AnalysisMacaca mulattaNonlinear DynamicsSomatosensory CortexSupport Vector MachineTime Factorsbrain-machine interfacefinger somatotopymachine learningsensory decodingsomatosensory evoked potentialμECoG

Identifiers

PMID28442997
PMCPMC5386975
OpenAlexW2605937239

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.