Inter-brain Synchronization Dataset of Peer Cooperation in Adolescents and Adults
We collected EEG data from adolescents and adults while they were playing cooperative peer games. The final sample was composed of 126 participants (63 dyads), which included 31 dyads in the adults group (26 male, 36 female; Mage=21.27， SD=1.26) and 32 dyads in the adolescents group (30 male, 34 female; Mage=16.72， SD=0.55), all were matched with the same sex. All of the participants came from urban senior high schools or universities in mainland China. All of the participants were right-handed and had normal or corrected-to-normal vision. No participant had a history of neurological or psychiatric disorder, as determined by self and/or parent reports. No participant had a history of neurological or psychiatric disorder, as determined by self and/or parent reports.
Steps to reproduce
The computer-based cooperation tasks were primarily developed by Cui and colleagues and modified by Reindl and colleagues (Cui et al., 2012; Reindl et al., 2018). In the task, each player manipulated the on-screen movement of a dolphin toward a ball using a key press, with the aim to catch the ball together to achieve the success of cooperation. The participant dyads were instructed to press their keys as simultaneously as possible to “catch the ball together”. In the formal task, each trial begins with a 2-second wait, and two dolphins were shown on the screen. After 2 seconds, a hollow black circle appeared above the two dolphins (the “ready signal”). After a random lasting of 0.6-1.5 seconds, the circle was replaced by a red and white ball (the “go signal”), and the circle remained on the screen. Only after the “go signal” appeared were the participants and their partners asked to press their response button (the participant on the left pressed the numeric keypad "1" to respond, while the participant on the right pressed the numeric keypad "0"). After both buttons are pressed, there is a 0.5-second interval, followed by a feedback message in the center of the screen indicating the result of this trial. The feedback screen appeared for 1.5 seconds. The whole task included 5 practice trials and 50 formal trials. The participant dyads sat comfortably side by side in an electrically shielded, dimly lit room. Two 32-channel portable EEG systems (BrainAmp, Brainproducts GmbH, Germany) were used to continuously and synchronously record the EEG signals of each dyad during the computer-based cooperative tasks. All recorded electrode impedances were kept below 10k ohms. The sampling rate was 500 Hz. The average mastoid reference of the EEG signal is off-line, and the band-pass filtering range is 1-40 Hz. By applying independent component analysis (ICA) to EEG data, we obtained ICA components and identified those that were associated with artifacts by visual inspection. The artifact-marked epochs were eliminated from all subsequent analyses. All analyses were performed by EEGLAB and the scripts in MATLAB 2013b. Onsets were set at the points where the ‘ready signal’ was displayed. The artifact-free EEG signal from each trial was segmented between 1000ms before the start of onset and 2000ms after the start of onset. The number of valid epochs was more than 60% of the total number of trials.
Educational Science Foundation in Shenzhen