Skip to main content
Journal cover image

Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms.

Publication ,  Journal Article
Ryan, DB; Colwell, KA; Throckmorton, CS; Collins, LM; Caves, K; Sellers, EW
Published in: Clin EEG Neurosci
March 2018

The objective of this study was to investigate the performance of 3 brain-computer interface (BCI) paradigms in an amyotrophic lateral sclerosis (ALS) population (n = 11). Using a repeated-measures design, participants completed 3 BCI conditions: row/column (RCW), checkerboard (CBW), and gray-to-color (CBC). Based on previous studies, it is hypothesized that the CBC and CBW conditions will result in higher accuracy, information transfer rate, waveform amplitude, and user preference over the RCW condition. An offline dynamic stopping simulation will also increase information transfer rate. Higher mean accuracy was observed in the CBC condition (89.7%), followed by the CBW (84.3%) condition, and lowest in the RCW condition (78.7%); however, these differences did not reach statistical significance ( P = .062). Eight of the eleven participants preferred the CBC and the remaining three preferred the CBW conditions. The offline dynamic stopping simulation significantly increased information transfer rate ( P = .005) and decreased accuracy ( P < .000). The findings of this study suggest that color stimuli provide a modest improvement in performance and that participants prefer color stimuli over monochromatic stimuli. Given these findings, BCI paradigms that use color stimuli should be considered for individuals who have ALS.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Clin EEG Neurosci

DOI

EISSN

2169-5202

Publication Date

March 2018

Volume

49

Issue

2

Start / End Page

114 / 121

Location

United States

Related Subject Headings

  • User-Computer Interface
  • Photic Stimulation
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Humans
  • Female
  • Event-Related Potentials, P300
  • Electroencephalography
  • Brain-Computer Interfaces
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Ryan, D. B., Colwell, K. A., Throckmorton, C. S., Collins, L. M., Caves, K., & Sellers, E. W. (2018). Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms. Clin EEG Neurosci, 49(2), 114–121. https://doi.org/10.1177/1550059417737443
Ryan, David B., Kenneth A. Colwell, Chandra S. Throckmorton, Leslie M. Collins, Kevin Caves, and Eric W. Sellers. “Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms.Clin EEG Neurosci 49, no. 2 (March 2018): 114–21. https://doi.org/10.1177/1550059417737443.
Ryan DB, Colwell KA, Throckmorton CS, Collins LM, Caves K, Sellers EW. Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms. Clin EEG Neurosci. 2018 Mar;49(2):114–21.
Ryan, David B., et al. “Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms.Clin EEG Neurosci, vol. 49, no. 2, Mar. 2018, pp. 114–21. Pubmed, doi:10.1177/1550059417737443.
Ryan DB, Colwell KA, Throckmorton CS, Collins LM, Caves K, Sellers EW. Evaluating Brain-Computer Interface Performance in an ALS Population: Checkerboard and Color Paradigms. Clin EEG Neurosci. 2018 Mar;49(2):114–121.
Journal cover image

Published In

Clin EEG Neurosci

DOI

EISSN

2169-5202

Publication Date

March 2018

Volume

49

Issue

2

Start / End Page

114 / 121

Location

United States

Related Subject Headings

  • User-Computer Interface
  • Photic Stimulation
  • Neurology & Neurosurgery
  • Middle Aged
  • Male
  • Humans
  • Female
  • Event-Related Potentials, P300
  • Electroencephalography
  • Brain-Computer Interfaces