EEG-based functional connectivity is a suitable tool to study how different brain regions interact during specific cognitive tasks such as art perception. In this study, we aim to investigate the networks activated during the perception of artistic paintings. Twenty-six university students were presented with a random series of 40 abstract and 40 representational paintings. Each painting was shown for 8 seconds. During the experiment, scalp bioelectric activity was recorded using high-density (128-channel) EEG with a Biosemi ActiveTwo device. We calculated the functional connectivity networks in sensor space using phase synchronization (PLV, dwPLI) between pairs of EEG signals across different frequency bands (i.e. delta, theta, alpha, beta, gamma) using the Fieldtrip Toolbox. This technique assesses the degree to which the phase of two signals aligns consistently over time, indicating functional connectivity or coordinated activity between the brain regions producing those signals. The preliminary results identified subnetworks in the occipital, fronto-parietal and motor areas, showing differences between viewing of abstract and representational paintings, especially in the alpha band (Figure 1). This method seems to be sensitive enough to elucidate different cortical networks in the perception of the paintings belonging to the abstract or representational styles. This work is still in progress as we are performing statistical analysis of network metrics (local and global efficiency, modularity, etc.) and investigating whether the aesthetic processing can be captured as a unique network of activated regions.Figure 1. Alpha band Functional Connectivity. Preliminary result for 1 subject,latency = 0–500 ms, edge weight = 0.4