articleTop 1% cited

Brain–machine interface in chronic stroke rehabilitation: A controlled study

Annals of Neurology · 2013 · Vol. 74(1) · pp. 100–108

Ander Ramos‐Murguialday✉(Tecnalia)Doris Broetz(University of Tübingen)Massimiliano Rea(University of Tübingen)Leonhard Läer(University of Tübingen)Özge Yilmaz(University of Tübingen)Fabrício Lima Brasil(University of Tübingen)Giulia Liberati(University of Tübingen)Marco Rocha Curado(University of Tübingen)Eliana García‐Cossio(University of Tübingen)Alexandros Vyziotis(University of Tübingen)Woosang Cho(University of Tübingen)Manuel Agostini(University of Tübingen)Ernesto Soares(University of Tübingen)Surjo R. Soekadar(National Institute of Neurological Disorders and Stroke)Andrea Carìa(University of Tübingen)Leonardo G. Cohen(National Institute of Neurological Disorders and Stroke)Niels Birbaumer✉(University of Tübingen)

View via DOI Publisher page

Abstract

The addition of BMI training to behaviorally oriented physiotherapy can be used to induce functional improvements in motor function in chronic stroke patients without residual finger movements and may open a new door in stroke neurorehabilitation.

EEG and Brain-Computer Interfaces Muscle activation and electromyography studies Transcranial Magnetic Stimulation StudiesPhysical medicine and rehabilitationRehabilitationStroke (engine)ElectromyographyMedicinePhysical therapyWeaknessPlaceboParesisChronic stroke

MeSH terms

Stroke RehabilitationAdolescentAdultAgedAged, 80 and overAnalysis of VarianceArmBrainChronic DiseaseElectroencephalographyElectromyographyFemaleHandHumansMagnetic Resonance Imaging

Citations

965

FWCI

32.10

field-weighted impact

References

Percentile

100%

vs. same field & year

Citations per year

Cited by

Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial