Evidence map›Paper›PMID 39345118›Full record

Trial reportNeurorehabilitation and neural repair2025

IpsiHand Brain-Computer Interface Therapy Induces Broad Upper Extremity Motor Rehabilitation in Chronic Stroke.

Nabi Rustamov, Lauren Souders, Lauren Sheehan, Alexandre Carter, Eric C Leuthardt

2 registry-linked trialsAbstract readClinical Trial
In one paragraph

Trial report in Neurorehabilitation and neural repair, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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.

NCT03611855 naterminatednot on this map

The Neural Mechanisms of a Contralesionally-Driven Brain-Computer Interface for Motor Rehabilitation of Chronic Stroke

TypeinterventionalSponsorWashington University School of MedicineRan2018 to 2020Enrolled56ConditionsChronic Stroke, HemiparesisArmsBCI Rehabilitation, Range of Motion Therapy
NCT04338971 nacompletednot on this map

Ipsihand Device Use in Stroke Patients to Assess Motor Recovery of the Upper Extremity and Functional Outcomes

TypeinterventionalSponsorNeurolutions, Inc.Ran2017 to 2020Enrolled24ConditionsStrokeArmsIpsiHand Therapy
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Brain-computer interface: an update for the clinicians.Frontiers in human neuroscience · 2026
    Review
  9. Review
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Nabi RustamovDivision of Neurotechnology, Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0009-0001-9694-9207
Lauren SoudersNeurolutions, Inc. St. Louis, MO, USA.
Lauren SheehanNeurolutions, Inc. St. Louis, MO, USA.
Alexandre CarterDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.
Eric C LeuthardtDivision of Neurotechnology, Department of Neurological Surgery, Washington University in St. Louis, St. Louis, MO, USA.

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Jonathan Saul Carp · 2014 to 2026
$15.4M
The Neural Mechanisms of a Contralesionally-Driven Brain Computer Interface for Motor Rehabilitation of Chronic StrokeR21NS102696 · NINDS · WASHINGTON UNIVERSITY · PI CARTER, ALEXANDRE R, LEUTHARDT, ERIC CLAUDE · 2018 to 2019
$419k
NIBIB NIH HHS P41 EB018783NINDS NIH HHS R21 NS102696
6 · The paper itself

Abstract

backgroundChronic hemiparetic stroke patients have very limited benefits from current therapies. Brain-computer interface (BCI) engaging the unaffected hemisphere has emerged as a promising novel therapeutic approach for chronic stroke rehabilitation.

objectivesThis study investigated the effectiveness of contralesionally-controlled BCI therapy in chronic stroke patients with impaired upper extremity motor function. We further explored neurophysiological features of motor recovery driven by BCI. We hypothesized that BCI therapy would induce a broad motor recovery in the upper extremity, and there would be corresponding changes in baseline theta and gamma oscillations, which have been shown to be associated with motor recovery.

methodsTwenty-six prospectively enrolled chronic hemiparetic stroke patients performed a therapeutic BCI task for 12 weeks. Motor function assessment data and resting state electroencephalogram signals were acquired before initiating BCI therapy and across BCI therapy sessions. The Upper Extremity Fugl-Meyer assessment served as a primary motor outcome assessment tool. Theta-gamma cross-frequency coupling (CFC) was computed and correlated with motor recovery.

resultsChronic stroke patients achieved significant motor improvement in both proximal and distal upper extremity with BCI therapy. Motor function improvement was independent of Botox application. Theta-gamma CFC enhanced bilaterally over the C3/C4 motor electrodes and positively correlated with motor recovery across BCI therapy sessions.

conclusionsBCI therapy resulted in significant motor function improvement across the proximal and distal upper extremities of patients, which significantly correlated with theta-gamma CFC increases in the motor regions. This may represent rhythm-specific cortical oscillatory mechanism for BCI-driven rehabilitation in chronic stroke patients.

trial registrationAdvarra Study: https://classic.clinicaltrials.gov/ct2/show/NCT04338971 and Washington University Study: https://classic.clinicaltrials.gov/ct2/show/NCT03611855.

Indexed as

Brain-Computer InterfacesStrokeStroke RehabilitationUpper ExtremityAdultAgedChronic DiseaseElectroencephalographyFemaleGamma RhythmHumansMaleMiddle AgedMotor ActivityParesisProspective Studiesbrain–computer interfacechronic stroke rehabilitationtheta–gamma cross-frequency coupling

Identifiers

PMID39345118
PMCPMC11723815

What OpenQuestion holds

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LicenceCC BY-NC
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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.