Task-Specific Neural Synchronization and Adaptation to Supernumerary Robotic Finger: An EEG Analysis

Abstract

In response to the rising prevalence of upper-limb motor disorders, particularly in post-stroke cases, assistive technologies are being developed to enhance patient self-sufficiency. This study explored the impact of incorporating a supernumerary robotic finger (SRF) on the cortical functional connectivity during activities of daily living (ADLs). SRFs have shown promise in addressing grasping difficulties, utilizing adaptive mechanisms for varied object manipulation. Neuroimaging techniques, including fMRI and EEG, have been employed to assess the neural responses to SRFs. Building on existing research, this study explored a novel approach by analyzing cortical functional connectivity. EEG sub-band analysis of the beta-band EEG was quantified using the Phase Locking Value (PLV) during the performance of simple ADLs. The results indicate task-specific modifications, which can be interpreted as changes in cognitive processing required during SRF utilization. The outcomes underscore the intricate relationship between external assistive devices and dynamic shifts in the cortical functional connectivity, providing valuable insights for the development of effective assistive technologies.

Keywords: Supernumerary robotic finger, Phase locking value, Functional connectivity, EEG.