Hubert T. Preissl

This study uses frequency tagging in fetal MEG to show that the fetal cortex generates separate neural responses to rapid auditory stimuli, suggesting perceptual separation rather than fusion.

This study examines how insulin sensitivity in children affects brain connectivity in response to food cues, finding differences in insula functional connectivity associated with lower insulin sensitivity.

This study shows predictive learning reshapes the brain's representational geometry to align with sensory input statistics, with prediction error encoding strength correlating with representational shifts.

This study examines how neural complexity changes during prenatal development and finds it decreases with maturation, more rapidly in male fetuses.

This study uses multiscale entropy analysis on EEG-fNIRS data from preterm neonates to assess brain maturation, finding increased EEG MSE and decreased fNIRS MSE with gestational age.

This study investigates how neural entrainment during nonlinguistic statistical learning relates to the emergence of explicit knowledge using magnetoencephalography.

This study uses fetal magnetoencephalography to show that fetuses in the last trimester can process auditory stimuli through hierarchical rule learning, developing memory traces for complex patterns.

This study uses MEG to show newborns can learn hierarchical auditory rules, with early responses to first-order violations and late responses to second-order violations in active infants.

This study detects auditory steady-state responses in human fetuses using fetal magnetoencephalography, showing significant phase coherence at 27 Hz but not 42 Hz.

This study evaluates information-based metrics for measuring brain complexity in fetal and neonatal fMEG data to assess consciousness, finding LZW compression as the most usable metric with mixed results for fetal data.