Jack Adam Noah

The paper develops a deep learning framework to classify first-episode psychosis using multimodal data from neuroimaging, EEG, and facial features.

Neurospectrum extracts interpretable spatiotemporal features from neural activity using a geometric and topological deep learning framework, outperforming traditional methods in simulations and fMRI data.

The paper tests if the right temporal parietal junction (rTPJ) is a domain general region for somatosensory social functions using neuroimaging and cross-brain coherence data.