Evidence map›Paper›PMID 33545709›Full record

ArticleJournal of neural engineering2021

High-density neural recordings from feline sacral dorsal root ganglia with thin-film array.

Zachariah J Sperry, Kyounghwan Na, James Jun, Lauren R Madden, Alec Socha, Eusik Yoon, John P Seymour, Tim M Bruns

Open access · greenAbstract read
In one paragraph

Article in Journal of neural engineering, 2021. 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
0.9field-weighted citation impact, top 32% 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, 10 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

8 authors at 2 institutions in 2 countries.

Zachariah J SperryBiomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-5219-4965
Kyounghwan NaElectrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-9365-397X
James JunFlatiron Institute, Simons Foundation, New York City, NY, United States of America.
Lauren R MaddenBiomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-5803-4540
Alec SochaBiointerfaces Institute, University of Michigan, Ann Arbor, MI, United States of America.
Eusik YoonBiomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-2127-1200
John P SeymourBiomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0002-3783-7838
Tim M BrunsBiomedical Engineering, University of Michigan, Ann Arbor, MI, United States of America.ORCID 0000-0003-1692-0541
University of Michigan · USSimons Foundation · US

Funding

Conscious ambulatory bladder monitoring to understand neural control of lower urinary tract functionOT2OD023873 · OD · CLEVELAND CLINIC LERNER COM-CWRU · PI BOURBEAU, DENNIS, DAMASER, MARGOT S. · 2017 to 2021
$4.0M
Development of a novel multi-modal spinal root interfaceU18EB021760 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRUNS, TIMOTHY M., YOON, EUISIK · 2015 to 2017
$723k
Stretchable electronic-bladder interface for neuroprosthetic controlR21EB020811 · NIBIB · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BRUNS, TIMOTHY M. · 2015 to 2016
$405k
NIBIB NIH HHS R21 EB020811NIBIB NIH HHS U18 EB021760NIH HHS OT2 OD023873
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Ganglia, SpinalPudendal NerveAnimalsCatsElectric StimulationMicroelectrodesUrinary Bladderdorsal root gangliaDRGmicroelectrodepolyimidespike sorting

Identifiers

PMID33545709
PMCPMC12906853
OpenAlexW3126462480

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.