A5052625890- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Neurobiology of Language and Bilingualism
- Epilepsy research and treatment
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Neurological disorders and treatments
- Neuroscience and Neuropharmacology Research
- Neuroscience and Neural Engineering
- Reading and Literacy Development
- Vagus Nerve Stimulation Research
- Stuttering Research and Treatment
- Neuroscience and Music Perception
- Advanced Neuroimaging Techniques and Applications
- Phonetics and Phonology Research
- Medical Imaging Techniques and Applications
- Parkinson's Disease Mechanisms and Treatments
- Advanced Radiotherapy Techniques
- Action Observation and Synchronization
- Blind Source Separation Techniques
- Transcranial Magnetic Stimulation Studies
- Multisensory perception and integration
- Language Development and Disorders
- Sleep and Wakefulness Research
- Employee Welfare and Language Studies
Ghent University
2015-2024
Ghent University Hospital
2013-2023
Google (United States)
2023
University of Geneva
2016-2019
University Hospital of Geneva
2016-2019
iMinds
2009-2017
Signal Processing (United States)
2016
Fifteen percent to 25% of patients with refractory epilepsy require invasive video-electroencephalography (EEG) monitoring (IVEM) precisely delineate the ictal-onset zone. This delineation based on recorded intracranial EEG (iEEG) signals occurs visually by epileptologist and is therefore prone human mistakes. The purpose this study investigate whether effective connectivity analysis intracranially during seizures provides an objective method localize zone.In data were analyzed from eight...
Abstract Background Epileptic seizures are an established comorbidity of Alzheimer’s disease (AD). Subclinical epileptiform activity (SEA) as detected by 24-h electroencephalography (EEG) or magneto-encephalography (MEG) has been reported in temporal regions clinically diagnosed AD patients. Although epileptic probably arises the mesial lobe, electrical within this region might not propagate to EEG scalp electrodes and could remain undetected standard EEG. However, SEA lead faster cognitive...
The importance of functional brain connectivity to study physiological and pathological activity has been widely recognized. Here, we aimed 1) review a methodological pipeline investigate directed between regions using source signals derived from high-density EEG; 2) elaborate on some challenges; 3) apply this temporal lobe epilepsy (TLE) patients healthy controls differences in the theta beta frequency bands during EEG epochs without visible activity.The includes: acquisition preprocessing,...
To diagnose and lateralise temporal lobe epilepsy (TLE) by building a classification system that uses directed functional connectivity patterns estimated during EEG periods without visible pathological activity. Resting-state high-density recording data from 20 left TLE patients, right patients 35 healthy controls was used. Epochs interictal spikes were selected. The cortical source activity obtained for 82 regions of interest whole-brain in the theta, alpha beta frequency bands. These...
Electrical source imaging (ESI) from interictal scalp EEG is increasingly validated and used as a valuable tool in the presurgical evaluation of epilepsy reflection irritative zone. ESI ictal to localize seizure onset zone (SOZ) remains challenging. We investigated value an approach for using functional connectivity analysis (FC). Ictal 111 seizures 27 patients who had Engel class I outcome at least 1 year following resective surgery was analyzed. For every seizure, artifact-free epoch close...
To evaluate the accuracy of automated EEG source imaging (ESI) in localizing epileptogenic zone.Long-term EEG, recorded with standard 25-electrode array IFCN, from 41 consecutive patients focal epilepsy who underwent resective surgery, were analyzed blinded to surgical outcome. The analysis comprised spike-detection, clustering and at half-rising time peak each spike-cluster, using individual head-models six tissue-layers a distributed model (sLORETA). fully approach presented ESI cluster...
To develop a predictive model for the classification of seizure freedom under first-line monotherapy with levetiracetam in patients newly diagnosed epilepsy. Clinical data and routine EEG recordings epilepsy who were started on analyzed retrospectively. had been acquired prior to initiation treatment all patients. Patients experienced no further seizures until last follow-up labeled as seizure-free. Spectral features (band power, peak frequency) functional connectivity computed each patient...
In this work we propose a proof of principle that dynamic causal modelling can identify plausible mechanisms at the synaptic level underlying brain state changes over timescale seconds. As benchmark example for validation used intracranial electroencephalographic signals in human subject. These data were to infer (effective connectivity) architecture connections among neural populations assumed generate seizure activity. Dynamic allowed us quantify empirical spectral activity terms...
Electrical source imaging (ESI) is used increasingly to estimate the epileptogenic zone (EZ) in patients with epilepsy. Directed functional connectivity (DFC) coupled ESI helps better characterize epileptic networks, but studies on interictal activity have relied high-density recordings. We investigated accuracy of and DFC for localizing EZ, based low-density clinical electroencephalography (EEG).We selected following: (a) focal epilepsy, (b) spikes standard EEG, (c) either a structural...
We investigated the performance of automatic spike detection and subsequent electroencephalogram (EEG) source imaging to localize epileptogenic zone (EZ) from long-term EEG recorded during video-EEG monitoring.In 32 patients, spikes were automatically detected in clustered according their morphology. The two clusters with most single events each patient averaged localized brain at half-rising time peak using imaging. On basis distance sources resection known outcome after surgery, automated...
Large-scale slow oscillations allow the integration of neuronal activity across brain regions during sensory or cognitive processing. However, evidence that this form coding also holds for pathological networks, such as distributed networks in epileptic disorders, does not yet exist. Here, we show a mouse model unilateral hippocampal epilepsy fast ripples generated neocortex distant from primary focus occur transient trains interictal discharges. During these paroxysms, local phase-locking...
Epilepsy diagnosis can be difficult in the absence of interictal epileptic discharges (IED) on scalp EEG. We used high-density EEG to measure connectivity large‐scale functional networks patients with focal epilepsy (Temporal and Extratemporal Lobe Epilepsy, TLE ETLE) tested for network alterations during resting wakefulness without IEDs, compared healthy controls. measured global efficiency as a marker integration within networks. analysed 49 adult 16 subjects who underwent high-density-EEG...
Epilepsy is a network disease with epileptic activity and cognitive impairment involving large-scale brain networks. A complex involved in the seizure interictal epileptiform discharges (IEDs). Directed connectivity analysis, describing information transfer between regions, graph analysis are applied to high-density EEG characterise We analysed 19 patients focal epilepsy who had containing IED underwent surgery. estimated cortical during using electric source 72 atlas-based regions of...