Michael Gaebler

This study examines the relationship between neural activation during reappraisal tasks and individual differences in emotion regulation, finding no shared overlap across three measures and highlighting methodological challenges in fMRI research.

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 examines how acute stress reconfigures macroscale cortical organization and its relation to peripheral stress measures using functional cortical gradients.

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.

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 tests if cardiac phase affects threat perception in immersive VR but finds no significant distance or fear differences between systole and diastole.

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.

The paper investigates how visual memory array eccentricity affects EEG markers of visual short-term memory in a virtual reality setup, finding that CDA amplitude varies with memory load at certain eccentricities while alpha lateralization does not.

This study examines rapid volumetric brain changes after acute psychosocial stress using MRI and finds significant group-by-time interactions in grey matter volume and associations with stress measures.

The paper investigates how respiration and heartbeat influence tactile perception by analyzing timing of stimulation during the cardiac cycle and its effects on detection rates.

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

This study identifies two heartbeat-related modulations of somatosensory perception and evoked potentials using electroencephalography, showing how internal signals influence conscious perception.

The paper examines hemispheric asymmetries in EEG and fMRI related to approach and avoidance behavior, finding no significant links to eating behavior or BMI.

This study compares age-related changes in BOLD and EEG signal variability in healthy adults, finding distinct patterns and no significant associations between the measures.

This study shows that emotional context affects how much people like food and how the left amygdala responds to food versus non-food items.

The paper investigates how cardiac cycle phases and heart rate affect conscious somatosensory perception and finds higher detection during diastole with stronger cardiac deceleration after correct detections.

The paper introduces a dataset linking brain functional architecture to cognitive states and personality traits through multimodal MRI and phenotypic assessments.

The paper shows that humans self-initiate visual stimuli during cardiac systole, suggesting active information sampling integrates heart-related signals without affecting memory performance.

The paper examines how resting heart rate variability (HRV) relates to brain structure and function across different age groups, finding age-dependent changes in functional connectivity.

This study investigates the relationship between blood pressure and grey matter volume in young adults, finding that higher blood pressure correlates with reduced grey matter volume in specific brain regions.