- We combined virtual reality & simultaneous EEG-ECG recording to probe the neurophysiological responses of nehative emotions
- We first found a common neurophysiological response pattern of negative emotions under virtual reality
- Furthermore, individual variation of sociability could be captured by neurophysiological responses
- Virtual reality has promising utility in naturalistic neuroimaging and socio-affective research
- This repo mainly contains scripts for processing multimodal neurophysiological data from the VR emotion project.
- Data modality: EEG (Brain Porduct 64 ch, montage see BP_Montage), ECG (BIOPAC 3 leads)
- Paradigm: naturalistic viewing of negative emotinal videos under virtual reality (Unity + Steam VR)
- VR googles: VIVE Pro EYE (HTC)
- Main analysis method: Intersubject similarity analysis (ISC) & Intersubject representational similarity analysis (IS-RSA)
├── Unity_call_python
│ ├── PortEEG.py # set the trigger to EEG & ECG
│ ├── AddPortEEG.py # load the PortEEG function
│ ├── UnityCallPython.cs # script for importing python script in unity
│ └── inpoutx64.dll # dll for parallel ports
├── 1_Emotion_Rating.ipynb # visualization of the perceived emotion arousal rating score
├── 2_ISC_EEG.ipynb # intersubejct simialrity analysis of the EEG data
├── 3_ISC_ECG.ipynb # intersubejct simialrity analysis of the EEG data
├── 4_ISC_Behav.ipynb # intersubject similarity analysis of the sociability (mentalizing & empathy)
├── 5_ISRSA.ipynb # intersubject representational similarity analysis
├── 6_plots_stats.ipynb # plot the topographys of ISC & IS-RSA
├── LICENSE
└── README.mdPython
python 3.8
mne
neurokit2
pandas
numpy
scipy
statsmodels
matplotlib
seaborn