Data for: Adaptive P300-Based Brain-Computer Interface for Attention Training

The dataset contains EEG and behavioral data of 47 participants who completed 9 runs (i.e. copy-spelled 9 words) in a P300 speller task, as well as a random dot motion (RDM) task and questionnaires in a single experimental session. Details of the experimental protocol can be found here:

Noble SC, Woods E, Ward T, Ringwood JV. “Adaptive P300-Based Brain-Computer Interface for Attention Training: Protocol for a Randomized Controlled Trial.” JMIR Res Protoc 2023, 12:e46135, doi: 10.2196/46135

A journal article describing the results of the study can be found here:Noble SC, Woods E, Ward T, Ringwood JV. “Accelerating P300-Based Neurofeedback Training for Attention Enhancement Using Iterative Learning Control: A Randomised Controlled Trial.” J Neural Eng 2024, 21(2), doi: 10.1088/1741-2552/ad2c9e

Please cite the results paper when using the data.

Each participant folder contains:

[xxx]-raw.[xxx] – unprocessed EEG signals (in mV) from 32 electrodes for all 9 P300 speller runs in Openvibe (.ov) and Matlab (.mat) file formats, see details of the runs below

[xxx]-processed.[xxx] – contains 3 xDAWN components extracted by the xDAWN spatial filter according to the weights in “spatial-filter.cfg”

classifier.cfg - LDA classifier weights

spatial-filter.cfg - xDAWN spatial filter weights

log.txt - contains the group assignment, start and end time of the experiment, and performance in the P300 speller and RDM tasks

The file “Subject Information.csv” contains the age and gender of all participants.

The file “Questionnaire scores.csv” contains the responses to the questionnaire described in the experimental protocol and the NASA Task Load Index (TLX) for all participants.

The .ov and .mat files contain data from the following runs:

Filename
Word to be copy-spelled
Number of flashes per row and column
Feedback given to participant

calibration-signal1
THE
12
no

calibration-signal2
QUICK
12
no

calibration-signals
Concatenation of calibration-signal1 and calibration-signal2

eval
DOG
12
yes

training-run-1
BEAUTIFUL
10
yes

training-run-2 to training-run-5
BEAUTIFUL
varying
yes

post-training-run
DANCE
12
yes

This research is supported by the Irish Research Council under project ID GOIPG/2020/692 and Science Foundation Ireland under grant number 12/RC/2289_P2.