Natalie Schaworonkow

Diazepam alters the shape of alpha oscillations recorded from human cortex using EEG

This study uses pharmaco-EEG to show diazepam alters alpha oscillation shape features in specific brain regions, supporting the neurophysiological relevance of waveform shape in non-invasive human recordings.

Oscillatory waveform shape and temporal spike correlations differ across bat frontal and auditory cortex

The paper examines waveform shape and spike correlations in bat frontal and auditory cortex, finding distinct dynamics across regions even for similar frequency oscillations.

Resting-state alpha and mu rhythms change shape across development but lack diagnostic sensitivity for ADHD and autism

The paper analyzes resting-state alpha and mu rhythms in children to assess developmental changes and their potential as biomarkers for ADHD and autism, finding no significant differences between groups.

Oscillations and aperiodic activity: Evidence for dynamic changes in both during memory encoding

The paper reanalyzes EEG data to show that both oscillations and aperiodic activity are co-modulated during memory encoding.

Is sensor space analysis good enough? Spatial patterns as a tool for assessing spatial mixing of EEG/MEG rhythms

The paper demonstrates how spatial mixing in EEG/MEG data affects analysis in sensor space, using simulations and resting-state data to show challenges in disentangling overlapping rhythms.

Enhancing oscillations in intracranial electrophysiological recordings with data-driven spatial filters

This paper introduces data-driven spatial filters to enhance neuronal oscillation measurement in intracranial electrophysiological recordings, showing improved signal-to-noise ratio and better analysis of oscillation properties.

Longitudinal changes in aperiodic and periodic activity in electrophysiological recordings in the first seven months of life

This study examines longitudinal changes in periodic and aperiodic neuronal activity in infants using EEG data, showing early flattening of the EEG power spectrum and the need to separate these signals for accurate oscillation measurement.

Spatial neuronal synchronization and the waveform of oscillations: implications for EEG and MEG

This study shows how spatial synchronization in EEG/MEG can mask non-sinusoidal features of neuronal oscillations, affecting spectral harmonic ratios and amplitude coupling.

μ-rhythm extracted with personalized EEG filters correlates with corticospinal excitability in real-time phase-triggered EEG-TMS

The paper compares two EEG filtering methods for extracting the μ-rhythm and assesses their impact on corticospinal excitability measured via TMS.

EEG-triggered TMS reveals stronger brain state-dependent modulation of motor evoked potentials at weaker stimulation intensities

The paper uses EEG-triggered TMS to show that motor evoked potentials are more modulated by micro-rhythm phase at weaker stimulation intensities, enabling better differentiation of brain states.

Ongoing brain rhythms shape I-wave properties in a computational model

This paper investigates how ongoing brain rhythms affect TMS-induced I-wave properties in a computational model, finding that phase and power of rhythms significantly influence responses.

A Multi-Scale Computational Model of the effects of TMS on Motor Cortex

This paper presents a multi-scale computational model of TMS effects on motor cortex, predicting neuron activation patterns and thresholds based on individual head models.