Evidence map›Paper›PMID 35453997›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Motor Imagery: How to Assess, Improve Its Performance, and Apply It for Psychosis Diagnostics.

Alla Chepurova, Alexander Hramov, Semen Kurkin

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
9.3field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 35 citations in OpenAlex.

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  13. Advances in the Diagnosis and Management of Psychosis.Diagnostics (Basel, Switzerland) · 2023
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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.

Alla ChepurovaCenter for Technologies in Robotics and Mechatronics Components, Innopolis University, 420500 Innopolis, Russia.
Alexander HramovCenter for Technologies in Robotics and Mechatronics Components, Innopolis University, 420500 Innopolis, Russia.ORCID 0000-0003-2787-2530
Semen KurkinCenter for Technologies in Robotics and Mechatronics Components, Innopolis University, 420500 Innopolis, Russia.ORCID 0000-0002-3438-5717
Immanuel Kant Baltic Federal University · RUInnopolis University · RU

Funding

Russian Science Foundation 21-72-10121
6 · The paper itself

Abstract

With this review, we summarize the state-of-the-art of scientific studies in the field of motor imagery (MI) and motor execution (ME). We composed the brain map and description that correlate different brain areas with the type of movements it is responsible for. That gives a more complete and systematic picture of human brain functionality in the case of ME and MI. We systematized the most popular methods for assessing the quality of MI performance and discussed their advantages and disadvantages. We also reviewed the main directions for the use of transcranial magnetic stimulation (TMS) in MI research and considered the principal effects of TMS on MI performance. In addition, we discuss the main applications of MI, emphasizing its use in the diagnostics of various neurodegenerative disorders and psychoses. Finally, we discuss the research gap and possible improvements for further research in the field.

Indexed as

kinesthetic imagerymotor evoked potentialmotor imagerymotor imagery assessmentmovement imaginationtranscranial magnetic stimulationvisual imagery

Identifiers

PMID35453997
PMCPMC9025310
OpenAlexW4223478649

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.