A5015275083- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Epilepsy research and treatment
- Functional Brain Connectivity Studies
- Neuroscience and Neuropharmacology Research
- Advanced MRI Techniques and Applications
- Sleep and Wakefulness Research
- Complex Systems and Time Series Analysis
- Advanced Memory and Neural Computing
- Neuroscience and Neural Engineering
- stochastic dynamics and bifurcation
- Ferroelectric and Negative Capacitance Devices
- Cardiac Arrest and Resuscitation
- Blind Source Separation Techniques
- Photoreceptor and optogenetics research
- Nonlinear Dynamics and Pattern Formation
- Intensive Care Unit Cognitive Disorders
- Traumatic Brain Injury and Neurovascular Disturbances
- Neurological disorders and treatments
- Neural Networks and Reservoir Computing
- Pharmacological Effects and Toxicity Studies
- Fractal and DNA sequence analysis
- Traumatic Brain Injury Research
- Sleep and related disorders
- Advanced Neuroimaging Techniques and Applications
University of Bern
2016-2025
Mid Atlantic Epilepsy and Sleep Center
2025
University Hospital of Bern
2015-2024
Wyss Center for Bio and Neuroengineering
2024
ETH Zurich
2000-2023
Health and Education Research Management and Epidemiologic Services (United States)
2023
Helios Klinikum Erfurt
2021
University of Vienna
2021
University of Lausanne
2021
Hôpital du Valais
2021
To derive tests for randomness, nonlinear-independence, and stationarity, we combine surrogates with a nonlinear prediction error, interdependence measure, linear variability measures, respectively. We apply these to intracranial electroencephalographic recordings (EEG) from patients suffering pharmacoresistant focal-onset epilepsy. These had been performed prior independent our study as part of the epilepsy diagnostics. The clinical purpose was delineate brain areas be surgically removed in...
Epileptic seizures are commonly characterized as 'hypersynchronous states'. This habit is doubly misleading, because not necessarily synchronous and unchanging 'states' but dynamic processes. Here the temporal evolution of correlation structure in course 100 focal onset 60 patients recorded by intracranial multichannel EEG was assessed. To this end a multivariate method applied that at its core consists computing eigenvalue spectrum zero-lag matrix short sliding window. Our results show...
We assess electrical brain dynamics before, during, and after 100 human epileptic seizures with different anatomical onset locations by statistical spectral properties of functionally defined networks. observe a concave-like temporal evolution characteristic path length cluster coefficient indicative movement from more random toward regular then back functional topology. Surprisingly, synchronizability was significantly decreased during the seizure state but increased already prior to end....
Abstract Surgery is a valuable option for pharmacologically intractable epilepsy. However, significant post-operative improvements are not always attained. This due in part to our incomplete understanding of the seizure generating (ictogenic) capabilities brain networks. Here we introduce an silico , model-based framework study effects surgery within ictogenic We find that factors conventionally determining region tissue resect, such as location focal lesions or presence epileptiform...
Abstract Conceptually and structurally simple mathematical models of coupled oscillator networks can show a rich variety complex dynamics, providing fundamental insights into many real-world phenomena. A recent not yet fully understood example is the collapse coexisting synchronous asynchronous oscillations globally motion found in identical oscillators. Here we that this sudden promoted by further decrease synchronization, rather than critically high synchronization. This strikingly...
In critically ill patients with altered consciousness, continuous electroencephalogram (cEEG) improves seizure detection, but is resource-consuming compared routine EEG (rEEG). It also uncertain whether cEEG has an effect on outcome.To assess associated reduced mortality rEEG.The pragmatic multicenter Continuous Randomized Trial in Adults (CERTA) was conducted between 2017 and 2018, follow-up of 6 months. Outcomes were assessed by interviewers blinded to interventions.The study took place at...
Surgery is a therapeutic option for people with epilepsy whose seizures are not controlled by anti-epilepsy drugs. In pre-surgical planning, an array of data modalities, often including intra-cranial EEG, used in attempt to map regions the brain thought be crucial generation seizures. These then resected hope that individual rendered seizure free as consequence. However, post-operative freedom currently sub-optimal, suggesting assessment may improved taking advantage mechanistic...
This paper presents an efficient binarized algorithm for both learning and classification of human epileptic seizures from intracranial electroencephalography (iEEG). The combines local binary patterns with brain-inspired hyperdimensional computing to enable end-to-end inference operations. first transforms iEEG time series each electrode into pattern codes. Then atomic high-dimensional vectors are used construct composite representations across all electrodes. For the majority our patients...
We propose Laelaps, an energy-efficient and fast learning algorithm with no false alarms for epileptic seizure detection from long-term intracranial electroencephalography (iEEG) signals.Laelaps uses end-to-end binary operations by exploiting symbolic dynamics brain-inspired hyperdimensional computing.Laelaps's results surpass those yielded state-of-the-art (SoA) methods [1],[2], [3], including deep learning, on a new very large dataset containing 116 seizures of 18 drug-resistant epilepsy...
We develop a fast learning algorithm combining symbolic dynamics and brain-inspired hyperdimensional computing for both seizure onset detection identification of ictogenic (seizure generating) brain regions from intracranial electroencephalography (iEEG).Our first transforms iEEG time series each electrode into local binary pattern codes, which holographic distributed representation the state interest is constructed across all electrodes over in space. The used to quickly learn few seizures,...
Sleep spindle generation classically relies on an interplay between the thalamic reticular nucleus (TRN), thalamo-cortical (TC) relay cells and cortico-thalamic (CT) feedback during non-rapid eye movement (NREM) sleep. Spindles are hypothesized to stabilize sleep, gate sensory processing consolidate memory. However, contribution of non-sensory nuclei in role spindles sleep-state regulation remain unclear. Using multisite cortical LFP/unit recordings freely behaving mice, we show that...
Abstract Epilepsy is defined by the abrupt emergence of harmful seizures, but nature these regime shifts remains enigmatic. From perspective dynamical systems theory, such critical transitions occur upon inconspicuous perturbations in highly interconnected and can be modeled as mathematical bifurcations between alternative regimes. The predictability represents a major challenge, theory predicts appearance subtle signatures on verge instability. Whether measured before impending seizures...
Theta phase modulates gamma amplitude in hippocampal networks during spatial navigation and rapid eye movement (REM) sleep. This cross-frequency coupling has been linked to working memory consolidation; however, its temporal dynamics remains unclear. Here, we first investigate the of theta-gamma interactions using multiple frequency scales simultaneous recordings from CA3, CA1, subiculum, parietal cortex freely moving mice. We found that theta dynamically distinct bands REM Interestingly,...
We propose a new algorithm for detecting epileptic seizures. Our first extracts three features, namely mean amplitude, line length, and local binary patterns that are fed to an ensemble of classifiers using hyperdimensional (HD) computing. These features embedded into prototype vectors representing ictal (during seizures) interictal (between brain states constructed. can be computed at different spatial scales ranging from single electrode up many electrodes. This flexibility allows our...
Current practice in clinical neurophysiology is limited to short recordings with conventional EEG (days) that fail capture a range of brain (dys)functions at longer timescales (months). The future ability optimally manage chronic disorders, such as epilepsy, hinges upon finding methods monitor electrical activity daily life. We developed device for full-head subscalp (Epios) and tested here the feasibility safely insert electrode leads beneath scalp by minimally invasive technique (primary...
Spontaneous neural dynamics manifest across multiple temporal and spatial scales, which are thought to be intrinsic brain areas exhibit hierarchical organization the cortex. In wake, a hierarchy of timescales is naturally emerge from microstructural properties, gene expression, recurrent connections. A fundamental question timescales’ changes in sleep, where physiological needs different. Here, we describe two measures timescales, obtained broadband activity gamma power, display...