Data from P300-based Neurofeedback Training for Attention Enhancement with 4 EEG Electrodes

The dataset contains EEG and behavioral data of 10 participants who completed 11 runs (i.e. copy-spelled 11 words) in a P300 speller task, as well as a random dot motion (RDM) task and questionnaires in a single experimental session. The data comes from a study that uses a modified version of the protocol described 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

These are the differences to the protocol above:

More but shorter words in the P300 speller (see below)

Only 4 electrodes were used (Pz, POz, P7 and P8)

Task difficulty adaptation is by iterative learning control (ILC) only

Each participant folder contains:

[xxx]-raw.[xxx] – unprocessed EEG signals from 4 electrodes for all 11 P300 speller runs in Openvibe (.ov) and Matlab (.mat) file formats, see details of the runs below

classifier.cfg - LDA classifier weights

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

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
WIZARD
10
yes

training-run-2
HUMBLE
varying
yes

training-run-3
JOKERS
varying
yes

training-run-4
UNLOCK
varying
yes

training-run-5
THRIVE
varying
yes

training-run-6
JUNGLE
varying
yes

training-run-7
SHADOW
varying
yes

training-run-8
FROZEN
varying
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.