Neural decoding of continuous upper limb movements: a meta-analysis.

Neural decoding of continuous upper limb movements: a meta-analysis.
Disabil Rehabil Assist Technol. 2020 Nov 13;:1-7
Authors: Khaliq Fard M, Fallah A, Maleki A
Abstract
OBJECTIVE: EEG-based motion trajectory decoding makes a promising approach for neurotechnology which can be used for neural control of motion reconstruction and neurorehabilitation tools. However, the feasibility and validity of continuous motion decoding by non-invasive brain activity are not clear. The main aim of this study was to perform a meta-analysis across studies that examined the ability of EEG-based continuous motion decoding of upper limb movements.
APPROACH: Pearson's correlation coefficient (CC) was used to evaluate the model performance of the studies and considered as an effect size. To estimate the overall effect size of neural decoding of motion trajectory across studies, characteristics of included studies were addressed and the random effect model was applied to the heterogeneous studies which estimated overall effect size distribution. Furthermore, the significant difference between the two subgroups of imagined and executed movements was analysed.
MAIN RESULTS: The mean of the overall effect size was computed 0.46 across the nonhomogeneous studies. The results showed no significant difference between imagined and executed movements (Chi2=0.28, df = 1, p = 0.60).
SIGNIFICANCE: Meta-analysis results confirm that imagina...

Source: Disability and Rehabilitation. Assistive Technology. - November 13, 2020 Category: Rehabilitation Authors: Khaliq Fard M, Fallah A, Maleki A Tags: Disabil Rehabil Assist Technol Source Type: research