S. Hofmann

The paper investigates how expectations about AI-generated images affect neural preparation, finding lower alpha power when expecting fake faces compared to real ones.

This study uses EEG and immersive VR to show that facial expressions can be decoded reliably in 3D space, with depth cues having a distinct neural signature but not affecting expression decoding.

The paper investigates how pre-stimulus beta power in different cortical areas predicts explicit and implicit perceptual biases in somatosensory detection tasks.

This study investigates brain-heart interactions during emotional arousal in immersive VR, finding reduced HEP amplitudes and altered information flow in temporo-occipital regions.

This study uses explainable AI to link brain-age prediction models with neuroimaging features of aging, revealing correlations between voxel relevance and structural brain markers.

This paper uses deep learning to estimate brain age from MRI data and identifies structural brain changes associated with aging.

The paper links emotional arousal during a VR experience to parieto-occipital alpha power using EEG and machine learning.

The paper investigates the relationship between white matter hyperintensities and alpha oscillations in older adults, finding that WMHs are associated with elevated alpha power but not with peak frequency or long-range temporal correlations.