Evidence map›Paper›PMID 36179659›Full record

ArticleJournal of neural engineering2022

Multimodal collaborative brain-computer interfaces aid human-machine team decision-making in a pandemic scenario.

Davide Valeriani, Lena C O'Flynn, Alexis Worthley, Azadeh Hamzehei Sichani, Kristina Simonyan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of neural engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. [Research progress of brain-computer interface application paradigms based on rapid serial visual presentation].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    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

5 authors.

Davide ValerianiDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, 243 Charles Street, Boston MA 02114, United States of America.ORCID 0000-0001-9866-0063
Lena C O'FlynnDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, 243 Charles Street, Boston MA 02114, United States of America.
Alexis WorthleyDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, 243 Charles Street, Boston MA 02114, United States of America.
Azadeh Hamzehei SichaniDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, 243 Charles Street, Boston MA 02114, United States of America.
Kristina SimonyanDepartment of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear and Harvard Medical School, 243 Charles Street, Boston MA 02114, United States of America.ORCID 0000-0001-7444-0437

Funding

Adaptive closed-loop brain-computer interface therapeutic intervention in laryngeal dystoniaR01DC019353 · NIDCD · MASSACHUSETTS EYE AND EAR INFIRMARY · PI SIMONYAN, KRISTINA · 2021 to 2025
$1.8M
NIDCD NIH HHS R01 DC019353
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Brain-Computer InterfacesElectroencephalographyHumansMagnetic Resonance ImagingPandemicsParietal LobeBCIdecision makingmachine-learningsimultaneous EEG/fMRI

Identifiers

PMID36179659
PMCPMC12882804

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.