Evidence map›Paper›PMID 30010600›Full record

ArticleIEEE transactions on biomedical circuits and systems2018

A High-Resolution Opto-Electrophysiology System With a Miniature Integrated Headstage.

Adam E Mendrela, Kanghwan Kim, Daniel English, Sam McKenzie, John P Seymour, Gyorgy Buzsaki, Euisik Yoon

Abstract read
In one paragraph

Article in IEEE transactions on biomedical circuits and systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 32 citations in OpenAlex.

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  6. Neural microprobe modelling and microfabrication for improved implantation and mechanical failure mitigation.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
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  14. A High-Resolution Opto-Electrophysiology System With a Miniature Integrated Headstage.IEEE transactions on biomedical circuits and systems · 2018
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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.

Adam E Mendrela
Kanghwan Kim
Daniel English
Sam McKenzie
John P Seymour
Gyorgy Buzsaki
Euisik Yoon
University of Michigan · USNew York University · US

Funding

Neural Recording Arrays with Distributed Cellular-Level Optical StimulationR21EB019221 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI YOON, EUISIK · 2014 to 2015
$398k
NIBIB NIH HHS R21 EB019221
6 · The paper itself

Abstract

This work presents a fully integrated neural interface system in a small form factor (1.9 g), consisting of a μLED silicon optoelectrode (12 μLEDs and 32 recording sites in a 4-shank configuration), an Intan 32-channel recording chip, and a custom optical stimulation chip for controlling 12 μLEDs. High-resolution optical stimulation with approximately 68.5 nW radiant flux resolution is achieved by a custom LED driver ASIC, which enables individual control of up to 48 channels with a current precision of 1 μA, a maximum current of 1.024 mA, and an update rate of >10 kHz. Recording is performed by an off-the-shelf 32-channel digitizing front-end ASIC from Intan. Two compact custom interface printed circuit boards were designed to link the headstage with a PC. The prototype system demonstrates precise current generation, sufficient optical radiant flux generation , and fast turn-on of μLEDs . Single animal in vivo experiments validated the headstage's capability to precisely modulate single neuronal activity and independently modulate activities of separate neuronal populations near neighboring optoelectrode shanks.

Identifiers

PMID30010600
PMCPMC6335189
OpenAlexW2884691162

What OpenQuestion holds

Textmetadata
LicenceTDM
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.