Evidence map›Paper›PMID 33836520›Full record

ArticleJournal of neural engineering2021

Unsupervised machine learning can delineate central sulcus by using the spatiotemporal characteristic of somatosensory evoked potentials.

Priscella Asman, Sujit Prabhu, Dhiego Bastos, Sudhakar Tummala, Shreyas Bhavsar, Thomas Michael McHugh, Nuri Firat Ince

Open access · hybridAbstract 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Long-latency gamma modulation after median nerve stimulation delineates the central sulcus and contrasts the states of consciousness.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2023
    Article
  4. Article
  5. Article
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.

Priscella AsmanDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States of America.
Sujit PrabhuDepartment of Neurosurgery, UT MD Anderson Cancer Center, Houston, TX, United States of America.
Dhiego BastosDepartment of Neurosurgery, UT MD Anderson Cancer Center, Houston, TX, United States of America.
Sudhakar TummalaDepartment of Neurosurgery, UT MD Anderson Cancer Center, Houston, TX, United States of America.
Shreyas BhavsarDepartment of Anesthesiology, UT MD Anderson Cancer Center, Houston, TX, United States of America.
Thomas Michael McHughDepartment of Anesthesiology, UT MD Anderson Cancer Center, Houston, TX, United States of America.
Nuri Firat InceDepartment of Biomedical Engineering, University of Houston, Houston, TX, United States of America.ORCID 0000-0003-4985-4528
The University of Texas MD Anderson Cancer Center · USUniversity of Houston · US

Funding

Investigation of Stereotyped High-Frequency Oscillations with Computational Intelligence for the Prediction of Seizure Onset Zone in EpilepsyR01NS112497 · NINDS · UNIVERSITY OF HOUSTON · PI INCE, NURI FIRAT · 2019 to 2023
$2.3M
NINDS NIH HHS R01 NS112497
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Intraoperative Neurophysiological MonitoringMotor CortexEvoked Potentials, SomatosensoryHandHumansUnsupervised Machine Learningfunctional mappingmachine learningsomatosensory evoked potentials

Identifiers

PMID33836520
PMCPMC8718352
OpenAlexW3149813876

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.