Electroencephalogram (EEG) and behavioural data (joystick) was collected from 15 healthy participants who completed a modified version of a Go/No-go task. This dataset consists of raw data, pre-processed EEG and behavioural data, along with impulsivity scores in a .csv file. The pre-processed data is in MATLAB .mat format. 

Raw Data  

The EEG and behavioural data (Joystick) along with trigger data was collected using a TMSi Porti amplifier with a sampling rate of 2,048Hz and is in .een format. The raw EEG files contain brain activity recorded in the first 16 channels and last 2 channels (channels 17 and 18) correspond to Joystick and Trigger information (used to identify the type of event – Go/Conflict/NoGo) respectively.   

The Raw data is segregated into 2 folders- Active and Sham which is further divided into baseline and after stimulation conditions. 

The main behavioural outcome is the change in NoGo errors (pre-processed folder- Figure 1C in from the article ‘Tuning the brakes – Modulatory role of transcranial random noise stimulation on inhibition,’ Brain Stimulation, 2024), comparing baseline and after-stimulation in sham and active conditions. Metadata corresponding to impulsivity scores and the change in NoGo behaviour are provided in ‘UPPS_nogo.csv’ (used for Figure 1D). The EEG data was recorded while the participants completed the task during baseline and after stimulation, and was used to calculate the spectral power (Figure 1E). The study also presents intermittent bursts from the EEG data, comparing the average burst durations at baseline and after-stimulation (Figure 1F) in sham and active stimulation conditions. 

Code 

All data were analysed in MATLAB (2018b) using a combination of EEGLAB, ERP LAB and FieldTrip packages.  

Installation guides can be found on   

https://sccn.ucsd.edu/eeglab/index.php  

https://matlab.mathworks.com/ 

https://erpinfo.org/erplab  

https://www.fieldtriptoolbox.org/download/.  

The behavioural data plots use the software IOSR toolbox  

https://github.com/IoSR-Surrey/MatlabToolbox 

Code_figure_IC.m: This script plots the NoGo error rates in baseline and after stimulation in sham and active conditions. This script uses the mat file ‘Nogo_behav_pre_post.mat’.