Psychological predictors of SMR-BCI performance

Biol Psychol. 2012 Jan;89(1):80-6. doi: 10.1016/j.biopsycho.2011.09.006. Epub 2011 Sep 29.

Abstract

Background: After about 30 years of research on Brain-Computer Interfaces (BCIs) there is little knowledge about the phenomenon, that some people - healthy as well as individuals with disease - are not able to learn BCI-control. To elucidate this "BCI-inefficiency" phenomenon, the current study investigated whether psychological parameters, such as attention span, personality or motivation, could predict performance in a single session with a BCI controlled by modulation of sensorimotor rhythms (SMR) with motor imagery.

Methods: A total of N=83 healthy BCI novices took part in the session. Psychological parameters were measured with an electronic test-battery including clinical, personality and performance tests. Predictors were determined by binary logistic regression analyses.

Results: The output variable of the Two-Hand Coordination Test (2HAND) "overall mean error duration" which is a measure for the accuracy of fine motor skills accounted for 11% of the variance in BCI-inefficiency. The Attitudes Towards Work (AHA) test variable "performance level" which can be interpreted as a degree of concentration and a neurophysiological SMR predictor were also identified as significant predictors of SMR BCI performance.

Conclusion: Psychological parameters as measured in this study play a moderate role for one-session performance in a BCI controlled by modulation of SMR.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Algorithms
  • Analysis of Variance
  • Biofeedback, Psychology*
  • Cognition / physiology
  • Cortical Spreading Depression / physiology
  • Electroencephalography
  • Female
  • Hand / innervation
  • Humans
  • Imagery, Psychotherapy
  • Male
  • Man-Machine Systems*
  • Middle Aged
  • Movement / physiology*
  • Personality Inventory
  • Predictive Value of Tests
  • Psychological Tests
  • Psychomotor Performance / physiology
  • Regression Analysis
  • Somatosensory Cortex / physiology*
  • Statistics, Nonparametric
  • Surveys and Questionnaires
  • User-Computer Interface*
  • Young Adult