Giovanni Morone1, Iolanda Pisotta2, Floriana Pichiorri3, Sonja Kleih4, Stefano Paolucci5, Marco Molinari2, Febo Cincotti6, Andrea Kübler4, Donatella Mattia3. 1. Neuroelectrical Imaging and BCI Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy; Clinical Laboratory of Experimental Neurorehabilitation, Santa Lucia Foundation IRCCS, Rome, Italy. Electronic address: g.morone@hsantalucia.it. 2. Experimental Neurorehabilitation Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy. 3. Neuroelectrical Imaging and BCI Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy. 4. Institute of Psychology, University of Würzburg, Würzburg, Germany. 5. Clinical Laboratory of Experimental Neurorehabilitation, Santa Lucia Foundation IRCCS, Rome, Italy. 6. Neuroelectrical Imaging and BCI Laboratory, Santa Lucia Foundation IRCCS, Rome, Italy; Department of Computer, Control, and Management Engineering, Sapienza University of Rome, Italy.
Abstract
OBJECTIVE: To evaluate the feasibility of brain-computer interface (BCI)-assisted motor imagery training to support hand/arm motor rehabilitation after stroke during hospitalization. DESIGN: Proof-of-principle study. SETTING: Neurorehabilitation hospital. PARTICIPANTS: Convenience sample of patients (N=8) with new-onset arm plegia or paresis caused by unilateral stroke. INTERVENTIONS: The BCI-based intervention was administered as an "add-on" to usual care and lasted 4 weeks. Under the supervision of a therapist, patients were asked to practice motor imagery of their affected hand and received as a discrete feedback the movements of a "virtual" hand superimposed on their own. Such a BCI-based device was installed in a rehabilitation hospital ward. MAIN OUTCOME MEASURES: Following a user-centered design, we assessed system usability in terms of motivation, satisfaction (by means of visual analog scales), and workload (National Aeronautics and Space Administration-Task Load Index). The usability of the BCI-based system was also evaluated by 15 therapists who participated in a focus group. RESULTS: All patients successfully accomplished the BCI training. Significant positive correlations were found between satisfaction and motivation (P=.001, r=.393). BCI performance correlated with interest (P=.027, r=.257) and motivation (P=.012, r=.289). During the focus group, professionals positively acknowledged the opportunity offered by BCI-assisted training to measure patients' adherence to rehabilitation. CONCLUSIONS: An ecological BCI-based device to assist motor imagery practice was found to be feasible as an add-on intervention and tolerable by patients who were exposed to the system in the rehabilitation environment.
OBJECTIVE: To evaluate the feasibility of brain-computer interface (BCI)-assisted motor imagery training to support hand/arm motor rehabilitation after stroke during hospitalization. DESIGN: Proof-of-principle study. SETTING: Neurorehabilitation hospital. PARTICIPANTS: Convenience sample of patients (N=8) with new-onset arm plegia or paresis caused by unilateral stroke. INTERVENTIONS: The BCI-based intervention was administered as an "add-on" to usual care and lasted 4 weeks. Under the supervision of a therapist, patients were asked to practice motor imagery of their affected hand and received as a discrete feedback the movements of a "virtual" hand superimposed on their own. Such a BCI-based device was installed in a rehabilitation hospital ward. MAIN OUTCOME MEASURES: Following a user-centered design, we assessed system usability in terms of motivation, satisfaction (by means of visual analog scales), and workload (National Aeronautics and Space Administration-Task Load Index). The usability of the BCI-based system was also evaluated by 15 therapists who participated in a focus group. RESULTS: All patients successfully accomplished the BCI training. Significant positive correlations were found between satisfaction and motivation (P=.001, r=.393). BCI performance correlated with interest (P=.027, r=.257) and motivation (P=.012, r=.289). During the focus group, professionals positively acknowledged the opportunity offered by BCI-assisted training to measure patients' adherence to rehabilitation. CONCLUSIONS: An ecological BCI-based device to assist motor imagery practice was found to be feasible as an add-on intervention and tolerable by patients who were exposed to the system in the rehabilitation environment.
Authors: Jane E Huggins; Christoph Guger; Erik Aarnoutse; Brendan Allison; Charles W Anderson; Steven Bedrick; Walter Besio; Ricardo Chavarriaga; Jennifer L Collinger; An H Do; Christian Herff; Matthias Hohmann; Michelle Kinsella; Kyuhwa Lee; Fabien Lotte; Gernot Müller-Putz; Anton Nijholt; Elmar Pels; Betts Peters; Felix Putze; Rüdiger Rupp; Gerwin Schalk; Stephanie Scott; Michael Tangermann; Paul Tubig; Thorsten Zander Journal: Brain Comput Interfaces (Abingdon) Date: 2019-12-10
Authors: Anna Zulauf-Czaja; Manaf K H Al-Taleb; Mariel Purcell; Nina Petric-Gray; Jennifer Cloughley; Aleksandra Vuckovic Journal: J Neuroeng Rehabil Date: 2021-02-25 Impact factor: 4.262