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Automated Author Profile

Koblar, Simon

University of Adelaide

Current S-Index

0.7

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Deidentified Data for all individual Results of the RehabSwift Study

The shared data relates to a study to assess the effectiveness of an innovative BCI therapy, in a cohort of chronic stroke survivors for hand movement recovery. We hypothesized that 18 sessions of our personalised neurofeedback training would lead to a clinically significant reduction in post-stroke arm and hand impairment, with effects persisting for at least four weeks.ResultsOur study recruited chronic stroke survivors from South Australia during 2020–2021, focusing on individuals with stable post-stroke conditions and impaired motor capabilities specifically of the hand. Participants underwent personalized neurofeedback training, which targeted specific EEG channels and frequency bands tailored to their neurophysiological profiles. Training sessions were conducted three times weekly over six weeks, using a customized EEG cap and feedback system to engage motor imagery and relaxation phases, which were adjusted based on the individual's performance and reaction times. Outcome measures, including motor function and sensory feedback performance, were assessed at baseline, immediately post-intervention, and during a 4–6 weeks follow-up to evaluate the lasting impacts of the training. A more detailed explanation of the study design may be seen in the Materials and Methods Section.
ParticipantsFor this study, we screened 25 prospective participants to obtain a sample of 12 stroke patients; 13 candidates did not meet the inclusion/exclusion criteria. The dataset includes the results of the 12 participants included in the trial.* Performance measures*Behavioural changes were monitored using Fugl-Meyer upper extremity (FMA-UE) motor assessment as the primary outcome measure. We also measured the ARAT, the reaction time of the affected and intact hands, unilateral neglect, spasticity, grip and pinch strength of the affected hand, goal attainment scale and Fugl-Meyer upper extremity sensation as our secondary assessment tools. Note that the last four secondary tests were added after the first cohort of participants underwent the study and reported gaining outcomes in their sensory functions and hand strength. As a result, we added Fugl-Meyer upper extremity sensation, grip strength, pinch strength, and goal attainment scale (GAS) tools.

Authors

  • Darvishi, Sam ;
  • Datta Gupta, Anupam ;
  • Hamilton-Bruce, Anne ;
  • Koblar, Simon ;
  • Baumert, Mathias ;
  • Abbott, Derek
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.25997992January 2024

Deidentified Data for all individual Results of the RehabSwift Study

The shared data relates to a study to assess the effectiveness of an innovative BCI therapy, in a cohort of chronic stroke survivors for hand movement recovery. We hypothesized that 18 sessions of our personalised neurofeedback training would lead to a clinically significant reduction in post-stroke arm and hand impairment, with effects persisting for at least four weeks.ResultsOur study recruited chronic stroke survivors from South Australia during 2020–2021, focusing on individuals with stable post-stroke conditions and impaired motor capabilities specifically of the hand. Participants underwent personalized neurofeedback training, which targeted specific EEG channels and frequency bands tailored to their neurophysiological profiles. Training sessions were conducted three times weekly over six weeks, using a customized EEG cap and feedback system to engage motor imagery and relaxation phases, which were adjusted based on the individual's performance and reaction times. Outcome measures, including motor function and sensory feedback performance, were assessed at baseline, immediately post-intervention, and during a 4–6 weeks follow-up to evaluate the lasting impacts of the training. A more detailed explanation of the study design may be seen in the Materials and Methods Section.
ParticipantsFor this study, we screened 25 prospective participants to obtain a sample of 12 stroke patients; 13 candidates did not meet the inclusion/exclusion criteria. The dataset includes the results of the 12 participants included in the trial.* Performance measures*Behavioural changes were monitored using Fugl-Meyer upper extremity (FMA-UE) motor assessment as the primary outcome measure. We also measured the ARAT, the reaction time of the affected and intact hands, unilateral neglect, spasticity, grip and pinch strength of the affected hand, goal attainment scale and Fugl-Meyer upper extremity sensation as our secondary assessment tools. Note that the last four secondary tests were added after the first cohort of participants underwent the study and reported gaining outcomes in their sensory functions and hand strength. As a result, we added Fugl-Meyer upper extremity sensation, grip strength, pinch strength, and goal attainment scale (GAS) tools.

Authors

  • Darvishi, Sam ;
  • Datta Gupta, Anupam ;
  • Hamilton-Bruce, Anne ;
  • Koblar, Simon ;
  • Baumert, Mathias ;
  • Abbott, Derek
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.25997992.v2January 2024