Neural responses with EEG to climate change images

In this dataset you’ll find recordings with EEG (20 electrodes), Facial Coding, Eye Tracking and GSR. Data was collected in response to climate change, nature and neutral images. There were 6 images per category, each image was presented 3 times of 4 seconds. All images were rated by the participants in terms of valence, arousal, relevance to climate change and their motivation to act pro-environmentally. Additionally, participants completed survey with demographics and their beliefs that climate change is caused by humans (NEP). In this data we’re looking for an emotion recognition based on EEG. What measure from the brain does best differentiate between the three categories of images?