Abstract 104: Navigated Brain Stimulation for Upper Limb Recovery After Stroke: A Randomized Sham Controlled Clinical Trial of Low Frequency r-TMS to Non-injured Hemisphere Combined With Upper Limb Rehabilitation

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Richard L Harvey ◽  
Charles Liu ◽  
Dylan Edwards ◽  
Kari Dunning ◽  
Felipe Fregni ◽  
...  

Introduction: Upper limb function following stroke is limited, with only 50% regaining some function and less than 20% regaining normal function. Repetitive TMS has promise as an adjunct to upper limb therapy after stroke. We aimed to determine if navigated brain stimulation (NBS) with a low-frequency (1 Hz) protocol to non-injured hemisphere combined with upper limb rehabilitation would improve arm motor function better than rehabilitation alone. Method: We enrolled 199 patients with hemiplegia from ischemic or hemorrhagic stroke within 3-12 m post ictus. Randomization was in a 2:1 ratio to NBS with 18 sessions of rehabilitation over 6 weeks, or to sham NBS with therapy. The primary end-point was rate of achieving a 5-point improvement on the upper limb Fugl-Myer (ULFM) score at 6 m post-treatment and safety. Secondary outcomes included post-treatment, 1 m, 3 m and 6 m change on ULFM, action research arm test (ARAT), and EQ-5D-3L health questionnaire. Results: Of 199 subjects enrolled, 167 completed treatment and follow-up due to early stoppage of data collection after interim futility analysis. All subjects improved significantly on each outcome measure at each point of follow up, including 6 m post-treatment ULFM: treatment (8.1±7.4, p<0.001) and sham (8.5±8.7, p<0.001). In the ITT analysis, there was no difference on achievement of 5 points on ULFM at 6 m post-treatment: 67% treatment vs. 65% sham (chi-sq 1.105, p=0.76). Repeated measures ANCOVA group*time interaction showed no significant difference between groups for ULFM (p=0.87), ARAT (p=0.80) and the EQ 5D (p=0.96). There were no study or device related serious adverse events and no difference in SAE’s between groups. Conclusion: NBS can be safely used in the clinical setting. Clinically important gains were observed in both study arms suggesting no additional effect of 1 Hz NBS in stroke subjects within 3-12 m post ictus. The lack of NBS effects may be explained by the large effect size (ceiling effect) or potentially that the sham coil unintentionally induced cortical currents. Further analysis of the sham method and also secondary subgroup analyses will provide further insights and generate novel hypothesis to be confirmed in future NBS trials.

ROBOT ◽  
2011 ◽  
Vol 33 (3) ◽  
pp. 307-313 ◽  
Author(s):  
Baoguo XU ◽  
Si PENG ◽  
Aiguo SONG

ROBOT ◽  
2012 ◽  
Vol 34 (5) ◽  
pp. 539 ◽  
Author(s):  
Lizheng PAN ◽  
Aiguo SONG ◽  
Guozheng XU ◽  
Huijun LI ◽  
Baoguo XU

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2146
Author(s):  
Manuel Andrés Vélez-Guerrero ◽  
Mauro Callejas-Cuervo ◽  
Stefano Mazzoleni

Processing and control systems based on artificial intelligence (AI) have progressively improved mobile robotic exoskeletons used in upper-limb motor rehabilitation. This systematic review presents the advances and trends of those technologies. A literature search was performed in Scopus, IEEE Xplore, Web of Science, and PubMed using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology with three main inclusion criteria: (a) motor or neuromotor rehabilitation for upper limbs, (b) mobile robotic exoskeletons, and (c) AI. The period under investigation spanned from 2016 to 2020, resulting in 30 articles that met the criteria. The literature showed the use of artificial neural networks (40%), adaptive algorithms (20%), and other mixed AI techniques (40%). Additionally, it was found that in only 16% of the articles, developments focused on neuromotor rehabilitation. The main trend in the research is the development of wearable robotic exoskeletons (53%) and the fusion of data collected from multiple sensors that enrich the training of intelligent algorithms. There is a latent need to develop more reliable systems through clinical validation and improvement of technical characteristics, such as weight/dimensions of devices, in order to have positive impacts on the rehabilitation process and improve the interactions among patients, teams of health professionals, and technology.


Sign in / Sign up

Export Citation Format

Share Document