Evidence map›Paper›PMID 36603221›Full record

ReviewJournal of neural engineering2023

Making a case for endovascular approaches for neural recording and stimulation.

Brianna Thielen, Huijing Xu, Tatsuhiro Fujii, Shivani D Rangwala, Wenxuan Jiang, Michelle Lin, Alexandra Kammen, Charles Liu, Pradeep Selvan, Dong Song and 2 more

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of neural engineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 18 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

12 authors at 2 institutions in 1 country.

Brianna ThielenAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America.ORCID 0000-0002-1278-9411
Huijing XuAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America.
Tatsuhiro FujiiDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Shivani D RangwalaDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Wenxuan JiangAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America.ORCID 0000-0003-4852-6055
Michelle LinDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Alexandra KammenDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Charles LiuDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Pradeep SelvanThe Lundquist Institute for Biomedical Innovation, Torrance, CA, United States of America.
Dong SongAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America.ORCID 0000-0002-6179-1120
William J MackDepartment of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States of America.
Ellis MengAlfred E. Mann Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, United States of America.ORCID 0000-0003-0981-9197
University of Southern California · USThe Lundquist Institute · US

Funding

A Technology Resource for Polymer Microelectrode ArraysU24NS113647 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MENG, ELLIS, SONG, DONG · 2019 to 2023
$6.1M
NINDS NIH HHS U24 NS113647
6 · The paper itself

Abstract

There are many electrode types for recording and stimulating neural tissue, most of which necessitate direct contact with the target tissue. These electrodes range from large, scalp electrodes which are used to non-invasively record averaged, low frequency electrical signals from large areas/volumes of the brain, to penetrating microelectrodes which are implanted directly into neural tissue and interface with one or a few neurons. With the exception of scalp electrodes (which provide very low-resolution recordings), each of these electrodes requires a highly invasive, open brain surgical procedure for implantation, which is accompanied by significant risk to the patient. To mitigate this risk, a minimally invasive endovascular approach can be used. Several types of endovascular electrodes have been developed to be delivered into the blood vessels in the brain via a standard catheterization procedure. In this review, the existing body of research on the development and application of endovascular electrodes is presented. The capabilities of each of these endovascular electrodes is compared to commonly used direct-contact electrodes to demonstrate the relative efficacy of the devices. Potential clinical applications of endovascular recording and stimulation and the advantages of endovascular versus direct-contact approaches are presented.

Indexed as

BrainNeuronsElectrodes, ImplantedHumansMicroelectrodesendovascular electrodeendovascular recordingminimally invasiveneural interface

Identifiers

PMID36603221
PMCPMC9928900
OpenAlexW4313537324

What OpenQuestion holds

Textmetadata
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.