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Cited by 36Stroke Rehabilitation and RecoveryEEG and Brain-Computer InterfacesTranscranial Magnetic Stimulation Studies

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Restoration of Upper Limb Function After Chronic Severe Hemiplegia: A Case Report on the Feasibility of a Brain-Computer Interface-Triggered Functional Electrical Stimulation Therapy

Jovanovic, Lazar I., Kapadia, Naaz, Lo, Lorna, Zivanovic, Vera, Popovic, Milos R., Marquez-Chin, Cesar·2020·American Journal of Physical Medicine & Rehabilitation
DOI 10.1097/phm.0000000000001163
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Abstract

Functional electrical stimulation therapy (FEST) is a state-of-the-art treatment for retraining motor function after neurological injuries. Recent literature suggests that FEST can be further improved with brain-computer interface (BCI) technology. In this case study, we assessed the feasibility of using BCI-triggered FEST (BCI-FEST) to restore upper limb function in a 57-yr-old man with severe left hemiplegia resulting from a stroke 6 yrs before enrollment in the study. The intervention consisted of two blocks of forty 1-hr BCI-FEST sessions, with three sessions delivered weekly. During therapy, a single-channel BCI was used to trigger the stimulation programmed to facilitate functional movements. The measure of the feasibility of the BCI-FEST included assessing the implementation and safety of the intervention. Clinical improvements were assessed using (a) Functional Independence Measure, (b) Action Research Arm Test, (c) Toronto Rehabilitation Institute – Hand Function Test, and (d) Fugl-Meyer Assessment Upper Extremity test. Upon completion of 80 therapy sessions, 14-, 17-, and 18-point changes were recorded on Action Research Arm Test, Fugl-Meyer Assessment Upper Extremity test, and Toronto Rehabilitation Institute – Hand Function Test, respectively. The participant also indicated improvement as demonstrated by his ability to perform various day-to-day tasks. The results suggest that BCI-FEST is safe and viable.

Overview

Integrity signals

Registry

Crossref · 10.1097/phm.0000000000001163

Cites

28 of 28 references verified0 citation errors · 0 not checkable

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Citations

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Cited by

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Metadata

Authors
Jovanovic, L. I., Kapadia, N., Lo, L., Zivanovic, V., Popovic, M. R., & Marquez-Chin, C.
Affiliations
University Health Network (CA)
Corresponding author
Jovanovic, Lazar I.
ORCID
Venue
American Journal of Physical Medicine & Rehabilitation
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2019-02-14
Volume
99
Issue
3
Pages
e35-e40
ISSN
  • 0894-9115 (ISSN-L)
  • 1537-7385
DOI
10.1097/phm.0000000000001163
OpenAlex
W2950499230
Cited by
36
References
28
Citations by year
2026: 1 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 8 · 2021: 7 · 2020: 6 · 2019: 1
FWCI
3.85
Type
journal article
Language
en
Open access
closed
Locations
  • American Journal of Physical Medicine & Rehabilitation (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Keywords
brain-computer interface, hemiplegia, stroke, chronic stroke, motor retraining, feasibility, hand function, Action Research Arm Test, Fugl-Meyer Assessment, Functional Independence Measure
MeSH terms
Stroke Rehabilitation, Electric Stimulation Therapy, Feasibility Studies, Hemiplegia, Humans, Male, Middle Aged, Recovery of Function, Upper Extremity, Brain-Computer Interfaces

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.