Prediction of Inefficient BCI Users based on Cognitive Skills and Personality Traits
Hagedorn, L.; Leeuwis, N.; Alimardani, M.
Show abstract
BCI inefficiency is one of the major challenges of motor imagery brain-computer interfaces (MI-BCI). Past research suggests that certain cognitive skills and personality traits correlate with MI-BCI real-time performance. Other studies have examined sensorimotor rhythm changes (also known as suppression) as a valuable indicator of successful execution of the MI task. This research aims to combine these insights by investigating whether cognitive factors and personality traits can make predictions of a users ability to modulate rhythms during a MI-BCI task. Data containing 55 subjects who completed a MI task was employed, and a stepwise linear regression model was implemented to select the most relevant features for suppression prediction. The most accurate model was based on these factors: Spatial Ability, Visuospatial Memory, Autonomy, and Vividness of Visual Imagery. Further correlation analyses showed that a novice users suppression during a MI-BCI task can be predicted based on their visuospatial memory ability, as measured by the Design Organization Test (DOT).
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Distraction Impact of Concurrent Conversation on Event-Related Potential Based Brain-Computer Interfaces 97%
- A closed-loop stimulation approach with real-time estimation of the instantaneous phase of neural oscillations by a Kalman filter 95%
- Exploration of using "distance-to-bound" to manipulate the difficulty during motor imagery BCI training after stroke - A clinical two-cases study 94%
Similar papers in this journal
- A BCI-based vibrotactile neurofeedback training improves motor cortical excitability during motor imagery 96%
- Continuous Reaching and Grasping with a BCI Controlled Robotic Arm in Healthy and Stroke-Affected Individuals 96%
- Brain Dynamics of Spatial Reference Frame Proclivity in Active Navigation 94%
Similar papers in this journal
- The Relationship between Stability of Interpersonal Coordination and Inter-Brain EEG Synchronization during Anti-phase Tapping 94%
- Immersive virtual prism adaptation therapy with depth sensing camera: A feasibility study with functional near infrared spectroscopy in healthy adults 94%
- Automated methodology for optimal selection of the minimum electrode subset for accurate EEG source estimation based on Genetic Algorithm optimization 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.