Evidence map›Paper›PMID 33956845›Full record

ArticlePloS one2021

Combined real-time fMRI and real time fNIRS brain computer interface (BCI): Training of volitional wrist extension after stroke, a case series pilot study.

Avi K Matarasso, Jake D Rieke, Keith White, M Minhal Yusufali, Janis J Daly

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02856035 (Novel Brain Signal Feedback Paradigm to Enhance Motor Learning After Stroke), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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.

NCT02856035 nacompletednot on this map

Novel Brain Signal Feedback Paradigm to Enhance Motor Learning After Stroke

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2017 to 2018Enrolled4ConditionsStrokeArmsNeural feedback plus FES and motor training
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Review
  7. A Deep-Learning Empowered, Real-Time Processing Platform of fNIRS/DOT for Brain Computer Interfaces and Neurofeedback.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2025
    Article
  8. Article
  9. From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  10. [An emerging discipline: brain-computer interfaces medicine].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024
    Review
  11. Applications of Functional Near-Infrared Spectroscopy (fNIRS) Neuroimaging During Rehabilitation Following Stroke: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  12. Article
  13. Article
  14. Electroencephalography source localization.Clinical and experimental pediatrics · 2023
    Article
  15. Article
  16. [Applications, industrial transformation and commercial value of brain-computer interface technology].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2022
    Article
  17. Article
  18. Article
  19. 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

5 authors at 2 institutions in 1 country.

Avi K MatarassoBrain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, United States of America.ORCID 0000-0001-5876-1871
Jake D RiekeBrain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, United States of America.
Keith WhiteBrain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, United States of America.
M Minhal YusufaliBrain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, United States of America.
Janis J DalyBrain Rehabilitation Research Center, Malcom Randall VA Medical Center, Gainesville, Florida, United States of America.ORCID 0000-0002-8985-7240
University of Florida · USMalcom Randall VA Medical Center · US

Funding

RR&D Research Career Scientist Award ApplicationIK6RX002661 · VA · VETERANS HEALTH ADMINISTRATION · PI DALY, JANIS J. · 2017 to 2018
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RRD VA IK6 RX002661
6 · The paper itself

Abstract

objectivePilot testing of real time functional magnetic resonance imaging (rt-fMRI) and real time functional near infrared spectroscopy (rt-fNIRS) as brain computer interface (BCI) neural feedback systems combined with motor learning for motor recovery in chronic severely impaired stroke survivors. APPROACH: We enrolled a four-case series and administered three sequential rt-fMRI and ten rt-fNIRS neural feedback sessions interleaved with motor learning sessions. Measures were: Arm Motor Assessment Tool, functional domain (AMAT-F; 13 complex functional tasks), Fugl-Meyer arm coordination scale (FM); active wrist extension range of motion (ROM); volume of activation (fMRI); and fNIRS HbO concentration. Performance during neural feedback was assessed, in part, using percent successful brain modulations during rt-fNIRS. MAIN

resultsPre-/post-treatment mean clinically significant improvement in AMAT-F (.49 ± 0.22) and FM (10.0 ± 3.3); active wrist ROM improvement ranged from 20° to 50°. Baseline to follow-up change in brain signal was as follows: fMRI volume of activation was reduced in almost all ROIs for three subjects, and for one subject there was an increase or no change; fNIRS HbO was within normal range, except for one subject who increased beyond normal at post-treatment. During rt-fNIRS neural feedback training, there was successful brain signal modulation (42%-78%). SIGNIFICANCE: Severely impaired stroke survivors successfully engaged in spatially focused BCI systems, rt-fMRI and rt-fNIRS, to clinically significantly improve motor function. At the least, equivalency in motor recovery was demonstrated with prior long-duration motor learning studies (without neural feedback), indicating that no loss of motor improvement resulted from substituting neural feedback sessions for motor learning sessions. Given that the current neural feedback protocol did not prevent the motor improvements observed in other long duration studies, even in the presence of fewer sessions of motor learning in the current work, the results support further study of neural feedback and its potential for recovery of motor function in stroke survivors. In future work, expanding the sophistication of either or both rt-fMRI and rt-fNIRS could hold the potential for further reducing the number of hours of training needed and/or the degree of recovery. ClinicalTrials.gov ID: NCT02856035.

Indexed as

Brain-Computer InterfacesMagnetic Resonance ImagingStrokeStroke RehabilitationWristAdultAgedBrainFemaleHumansMaleMiddle AgedPilot ProjectsRange of Motion, ArticularSpectroscopy, Near-Infrared

Identifiers

PMID33956845
PMCPMC8101762
OpenAlexW3158207512

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

Registered trials

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.