Evidence map›Paper›PMID 34292446›Full record

ArticleBulletin of experimental biology and medicine2021

Application of fMRI and Simultaneous fMRI-EEG Neurofeedback in Post-Stroke Motor Rehabilitation.

D D Bezmaternykh, K V Kalgin, P E Maximova, M Ye Mel'nikov, E D Petrovskii, E V Predtechenskaya, A A Savelov, A A Semenikhina, T N Tsaplina, M B Shtark and 1 more

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In one paragraph

Article in Bulletin of experimental biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 28% 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, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Review
  6. Review
  7. Targeted neurorehabilitation strategies in post-stroke aphasia.Restorative neurology and neuroscience · 2023
    Review
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

11 authors at 3 institutions in 1 country.

D D BezmaternykhFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
K V KalginNovosibirsk National Research State University, Novosibirsk, Russia.
P E MaximovaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
M Ye Mel'nikovFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia. mikhail-melnikov@mail.ru.
E D PetrovskiiInternational Tomography Center Institute of the Siberian Division of Russian Academy of Sciences, Novosibirsk, Russia.
E V PredtechenskayaNovosibirsk National Research State University, Novosibirsk, Russia.
A A SavelovInternational Tomography Center Institute of the Siberian Division of Russian Academy of Sciences, Novosibirsk, Russia.
A A SemenikhinaNovosibirsk National Research State University, Novosibirsk, Russia.
T N TsaplinaFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
M B ShtarkFederal Research Center of Fundamental and Translational Medicine, Novosibirsk, Russia.
A V ShurunovaNovosibirsk National Research State University, Novosibirsk, Russia.
Novosibirsk State University · RUFederal Research Center of Fundamental and Translational Medicine · RUInternational Tomography Center · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article discusses the contribution of fMRI- and fMRI-EEG-neurofeedback into recovery of motor function in two subacute stroke patients during the early post-stroke period. Premotor and supplementary motor zones of the cortex were chosen as the targets of voluntary control. Patient 1 received 6 sessions of motor imagery-based fMRI neurofeedback of secondary motor areas activity and Patient 2 received a similar course with the addition of μ- and β-EEG activity suppression. Both reduced the motor deficit severity, improved on the quality of life, and increased the C3/C4 coherence to other central leads within EEG μ-band. Patient 1 reliably increased the fMRI signal in target areas and improved on the strength and speed of hand movements. Patient 2 (fMRI-EEG) mastered the EEG activity regulation to a greater degree. The authors conclude that pure fMRI neurofeedback and bi-modal fMRI-EEG neurofeedback produce different clinical effects in motor rehabilitation, which confirms the prospect of the closed-loop stroke treatment.

Indexed as

Electric Stimulation TherapyElectroencephalographyHand StrengthHumansImagery, PsychotherapyMagnetic Resonance ImagingMaleMiddle AgedMotor CortexNeurofeedbackPsychomotor PerformanceStrokeStroke RehabilitationTranscranial Magnetic StimulationTreatment OutcomeEEG μ bandfMRI neurofeedbackischemic strokemotor imagerysupplementary motor area

Identifiers

PMID34292446
OpenAlexW3186018592

What OpenQuestion holds

Textmetadata
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.