Catherine J. Chu

This study examines sleep spindle activity in children with childhood absence epilepsy (CAE) and finds that spindle rates decrease with active disease but improve with treatment and disease resolution.

The paper shows that hippocampal ripples during rest breaks predict motor learning in humans, suggesting a role for ripples in procedural memory.

Auditory stimulation during sleep increases slow oscillations and SO-spindle complexes, which correlate with improved memory consolidation in children with epilepsy and controls.

This study examines the cross-regional interplay of sleep oscillations in memory consolidation using intracranial recordings from epilepsy patients and finds that specific oscillation combinations and epileptic spikes affect memory outcomes.

This study identifies atypical alpha peak frequency (PAF) in EEGs of children with Angelman syndrome, showing reduced detection rates and lower frequencies compared to typically developing controls.

The paper extends Stochastic Actor-Oriented Models to account for edge uncertainty in dynamic networks, improving estimation accuracy with simulated and real brain network data.

This study finds that reduced sleep spindles in children with active Rolandic epilepsy predict impaired sleep-dependent memory consolidation.

The paper shows that epileptic spikes during sleep block sleep spindle production in thalamic recordings of patients with epileptic encephalopathy.

This paper introduces a photothrombotic stroke model in mice that reproduces human epilepsy electrographic biomarkers, showing increased spike ripples and delta power in the stroke hemisphere.

The paper evaluates phase estimation methods for neural rhythms, showing agreement only when uncertainty is low and proposing improved practices for phase estimation.

The paper investigates the relationship between sleep spindles and treatment response in epileptic encephalopathy, finding that increased spindles correlate with cognitive improvement after diazepam treatment.

The paper demonstrates that 1/f-like neural field spectra arise naturally from stochastic dynamics in a general system, without needing specific biological mechanisms or criticality.

The paper creates a normative sleep spindle database from 772 healthy children and shows age-specific patterns in spindle features across development.