Mark Kramer

Sleep spindle deficits in childhood absence epilepsy improve with antiseizure treatment and disease resolution

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.

CaNetiCs - An Open-Source Toolbox for Standardized Dimensionality Reduction of Neuronal Calcium Activity

CaNetiCs provides an open-source toolbox for standardized dimensionality reduction of neuronal calcium activity data, validating its utility on two experimental datasets.

Changes in slow oscillations and sleep spindles by auditory stimulation positively correlate with memory consolidation in children with epilepsy and controls

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

A hierarchical cascade of sleep rhythms drive memory consolidation in humans and are disrupted in epilepsy.

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.

Accounting for Edge Uncertainty in Stochastic Actor-Oriented Models for Dynamic Network Analysis

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.

Non-Negative Matrix Factorization for Analyzing State Dependent Neuronal Network Dynamics in Calcium Recordings

This paper applies non-negative matrix factorization to calcium imaging data to capture neuronal network dynamics, finding it outperforms other dimensionality reduction methods.

Impaired sleep-dependent memory consolidation predicted by reduced sleep spindles in Rolandic epilepsy

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

Human thalamic recordings reveal that epileptic spikes block sleep spindle production during non-rapid eye movement sleep

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

Photothrombosis induced cortical stroke produces electrographic epileptic biomarkers in mice

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.

Different methods to estimate the phase of neural rhythms agree, but only during times of low uncertainty

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

Preliminary evidence of a relationship between sleep spindles and treatment response in epileptic encephalopathy

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 1/f-like behavior of neural field spectra are a natural consequence of noise driven brain dynamics

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.

Normative sleep spindle database and findings from 772 healthy children from birth through 18 years

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

A State Space Modeling Approach to Real-Time Phase Estimation

This paper introduces a state space phase estimator for real-time neural phase tracking, showing improved performance over existing methods in simulations and in vivo data.

Seizure onset location shapes dynamics of initiation

The paper examines how seizure onset location influences electrographic patterns and identifies that specific oscillatory dynamics and interactions are more indicative of seizure origin than traditional biomarkers.

A statistical framework to assess cross-frequency coupling while accounting for modeled confounding effects

This paper introduces a statistical framework to assess cross-frequency coupling while accounting for confounding effects, showing improved performance in simulations and applications to in vivo data.