Evidence map›Paper›PMID 33690177›Full record

ArticleJournal of neural engineering2021

Data-driven machine learning models for decoding speech categorization from evoked brain responses.

Md Sultan Mahmud, Mohammed Yeasin, Gavin M Bidelman

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 17 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

3 authors at 2 institutions in 1 country.

Md Sultan MahmudDepartment of Electrical and Computer Engineering, University of Memphis, 3815 Central Avenue, Memphis, TN 38152, United States of America.ORCID 0000-0002-7361-122X
Mohammed YeasinDepartment of Electrical and Computer Engineering, University of Memphis, 3815 Central Avenue, Memphis, TN 38152, United States of America.
Gavin M BidelmanInstitute for Intelligent Systems, University of Memphis, Memphis, TN, United States of America.ORCID 0000-0002-1821-3261
University of Memphis · USUniversity of Tennessee Health Science Center · US

Funding

Neuroimaging biomarkers of speech processing deficits in MCIR01DC016267 · NIDCD · UNIVERSITY OF MEMPHIS · PI BIDELMAN, GAVIN M. · 2018 to 2022
$2.1M
NIDCD NIH HHS R01 DC016267
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Auditory CortexSpeech PerceptionAcoustic StimulationBrainEvoked Potentials, AuditoryHumansMachine LearningSpeechauditory event-related potentials (ERPs)behavioral slopecategorical perceptiondecision processmachine learningstability selectionsupport vector machine (SVM)

Identifiers

PMID33690177
PMCPMC8738965
OpenAlexW3134728016

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.