Jeff H. Duyn

The paper identifies two distinct slow-wave subtypes in NREM sleep based on thalamic involvement and synchronization mechanisms using EEG-fMRI data.

This paper demonstrates the feasibility of mesoscopic whole-brain T2*-weighted MRI at 10.5 T using advanced coils and motion-robust sequences, showing improved SNR and quantification precision compared to 7 T.

This paper identifies novel neural markers of sleep depth using auditory arousal threshold instead of conventional sleep stages, revealing unique brain network correlations.

The paper shows that human brain activity alternates between exteroceptive and interoceptive states through propagating fMRI waves, coordinating sensory encoding and memory retrieval.

This study shows that intrinsic forebrain arousal dynamics during passive viewing influence visual stimulus encoding efficiency in the visual cortex.

The paper investigates co-variation between neural and autonomic signals during arousal states using rsfMRI, EEG, and autonomic indicators, finding combined contributions to fMRI signals.

The paper investigates how brain-wide spiking cascades during rest relate to hippocampal replay sequences in mice, finding that replay events are linked to specific types of cascades.

The paper investigates how autonomic regulation of cerebral vascular tone generates CSF pulsations during sleep and may aid in brain waste clearance.

This study uses unsupervised outlier detection in multimodal MRI data from 20,000 UK Biobank subjects to identify rare individual phenotypes, finding high reliability for some measures and confirming many outliers through radiological review.