Evidence map›Paper›PMID 33328839›Full record

ArticleFrontiers in neuroscience2020

Dynamic Modeling of Common Brain Neural Activity in Motor Imagery Tasks.

Luisa F Velasquez-Martinez, Frank Zapata-Castano, German Castellanos-Dominguez

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Luisa F Velasquez-MartinezSignal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia.
Frank Zapata-CastanoSignal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia.
German Castellanos-DominguezSignal Processing and Recognition Group, Universidad Nacional de Colombia, Manizales, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluation of brain dynamics elicited by motor imagery (MI) tasks can contribute to clinical and learning applications. The multi-subject analysis is to make inferences on the group/population level about the properties of MI brain activity. However, intrinsic neurophysiological variability of neural dynamics poses a challenge for devising efficient MI systems. Here, we develop a

Indexed as

common spatial patternsevent-related synchronizationfunctional connectivitymotor imagerymulti-subject analysis

Identifiers

PMID33328839
PMCPMC7711077

What OpenQuestion holds

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LicenceCC BY
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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.