Birgit Frauscher

This study investigates how sleep spindles interact with epileptic activity in thalamocortical circuits, finding bidirectional relationships and suggesting spindles stabilize network stability.

This study shows that sleep fragmentation increases local epileptic activity in specific brain regions without affecting broader network propagation.

This study analyzes thalamic interictal events during NREM sleep in patients with focal epilepsy, finding associations between specific thalamic activity patterns and surgical outcomes.

The paper introduces RnB, a wavelet-based method to separate rhythmic and arrhythmic components in sleep EEG data, improving time-domain analysis of NREM sleep oscillations.

electro-MICA projects electrophysiological features onto cortical surfaces using numerical solutions to electromagnetic equations, outperforming conventional models in iEEG validation.

This study shows that human cortical dynamics are influenced by both local geometry and network topology, with transmodal regions showing additional dependence on microstructural and connectivity factors.

This study identifies patient-specific functional biomarkers in temporal lobe epilepsy using multimodal MRI data to predict clinical outcomes and guide precision therapeutics.

This study uses subcutaneous EEG to track sleep patterns over a year, finding that external factors like season, temperature, and weekends influence sleep duration and timing.

The paper examines associations between epilepsy-related polygenic risk scores and brain morphology in children, finding PRS-related cortical thinning linked to structural patterns in TLE-HS patients.

The paper identifies structural and functional alterations in cortical regions associated with epileptic spikes and their connected networks using multimodal MRI and EEG.

This paper applies beamforming spatial filtering to EEG-fMRI data to improve detection of sleep spindles and enhance fMRI GLM analysis by reducing BCG artefacts.

This study investigates how epilepsy-related mesiotemporal pathology reorganizes episodic and semantic memory systems using functional MRI in TLE patients and healthy controls.

This study investigates cerebral perfusion changes in temporal lobe epilepsy using multimodal imaging and finds widespread CBF reductions linked to structural and network disruptions.

The paper investigates how NREM sleep stages N2 and N3 modulate cognitive recovery after sleep deprivation by analyzing brain network segregation using fMRI and a new hierarchical segregation index.

This study shows that pharmaco-resistant temporal lobe epilepsy causes a progressive shift in cortical excitation-inhibition balance, linked to cognitive impairments and seizure frequency.

This study identifies atypical functional topography and reduced hierarchical signal flow in temporal lobe epilepsy, linked to microstructural white matter changes and cognitive impairments.

HippoMaps provides a toolbox and data warehouse for mapping and analyzing hippocampal data across multiple modalities and scales.

This paper validates MEG source imaging by comparing it to an intracranial EEG atlas, finding that MEG accurately estimates oscillatory patterns in lateral regions but underestimates deep regions.

This study identifies reduced microstructural differentiation in TLE patients, linking it to cognitive dysfunction and network reorganization.

This study identifies atypical intrinsic neural timescales in temporal lobe epilepsy, showing reduced timescales in multiple brain regions and high accuracy in classifying patients and lateralizing seizure foci.

This study assesses memory impairments in temporal lobe epilepsy patients across episodic, semantic, and spatial domains using behavioral tests and statistical analysis.

The paper shares a multimodal MRI dataset for studying multiscale brain organization, including connectomes and gradients from multiple imaging modalities.

This study shows that fast oscillations >40Hz detected with high-density EEG can accurately localize the epileptogenic zone, outperforming conventional EEG methods.

The paper identifies functional activation patterns during pattern separation in the hippocampus and neocortex, showing alignment with intrinsic connectivity gradients and performance differences in patients.

This study identifies functional connectivity contractions in temporal lobe epilepsy, linked to microstructural white matter changes and predictive of surgical outcomes.

The paper introduces a novel coordinate system for the human cortex based on connectivity, validated across multiple datasets and showing alignment with functional and structural features.

The paper identifies myeloarchitecture gradients in the human insula that correlate with its functional connectivity and diverse roles.