Eric H. Schumacher

This paper introduces a method to analyze directional brain network organization using fMRI data, identifying strength and duration signatures of neural influence across species and conditions.

This study evaluates how scan duration, TR, and frequency bands affect the reliability of functional connectivity patterns derived from rs-fMRI using QPPs and cPCA.

This study compares functional connectivity and spatiotemporal dynamics in individuals with idiopathic hypersomnia, narcolepsy type 1, and healthy controls, finding significant differences in key networks post-nap.

This paper analyzes dynamic functional connectivity in fMRI data across attentional tasks to identify a spectrum of network relationships tracking external to internal attention.

The paper examines variations in large-scale spatiotemporal brain activity patterns across different brain states using resting-state fMRI data from humans and rats.

This study shows that time-varying functional connectivity between brain networks predicts fluctuations in sustained attention during a finger-tapping task.

This paper investigates how systematic and random visual stimulation affects infraslow quasiperiodic spatiotemporal patterns (QPP) of whole-brain activity and finds distinct impacts on QPP waveform characteristics and frequency.

This study investigates the neural correlates of task processing and representation in the lateral frontal cortex using fMRI, finding distinct roles for different regions in executing tasks versus maintaining task representations.

This study identifies five brain states during suspenseful film viewing, showing four differ in frequency at suspense peaks compared to valleys.

The paper examines how emotion transitions affect executive function through prefrontal-posterior brain synchronization, showing stress exacerbates these effects.

This study examines how quasi-periodic patterns (QPPs) of low-frequency neural activity contribute to functional connectivity in the brain, showing differences between resting-state and task-performing individuals.

The paper examines variability in quasiperiodic patterns of brain activity across individuals and their relationship to global signal and physiological factors.