A5062130498- EEG and Brain-Computer Interfaces
- Blind Source Separation Techniques
- Genomics and Chromatin Dynamics
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Advanced Fluorescence Microscopy Techniques
- Advanced MRI Techniques and Applications
- Genomics and Phylogenetic Studies
- Genomic variations and chromosomal abnormalities
- Chromosomal and Genetic Variations
- Medical Imaging Techniques and Applications
- Neuroscience and Neuropharmacology Research
- Neonatal and fetal brain pathology
- DNA and Nucleic Acid Chemistry
- NMR spectroscopy and applications
- Target Tracking and Data Fusion in Sensor Networks
- Cell Image Analysis Techniques
- Medical Image Segmentation Techniques
- Gene expression and cancer classification
- DNA Repair Mechanisms
- Motor Control and Adaptation
- Electrical and Bioimpedance Tomography
- Neuroscience and Music Perception
- Gene Regulatory Network Analysis
- Advanced Biosensing Techniques and Applications
Heidelberg University
1996-2002
Software (Spain)
2002
Kirchhoff (Germany)
2001
Heidelberg University
1999
Forschungsstätte der Evangelischen Studiengemeinschaft
1996-1999
Institut für Informationsverarbeitung
1999
Summary Digital EEG allows one to combine recorded channels into new montages without the need record data. Using spherical splines, voltages can be estimated at any point on head. This generate various with or virtual electrodes standardized locations, interpolate bad electrodes, and topographic maps over whole Simulations of activity originating in brain regions are used illustrate effects known generators whole-head maps. Some properties spatial filters introduced, it is shown how they...
Analysis of the electroencephalogram (EEG) for epileptic spike and seizure detection or brain-computer interfaces can be severely hampered by presence artifacts. The aim this study is to describe evaluate a fast automatic algorithm ongoing correction artifacts in continuous EEG recordings, which applied offline online. based on blind source separation. It uses sliding window technique with overlapping epochs features spatial, temporal frequency domain detect correct ocular, cardiac, muscle...
In Electro- (EEG) and Magnetoencephalography (MEG), one important requirement for source reconstruction is the forward model. The continuous Galerkin finite element method (CG-FEM) has become of dominant approaches solving problem over last decades. Recently, a discontinuous FEM (DG-FEM) EEG approach been proposed as an alternative to CG-FEM (Engwer et al., 2017). It was shown that DG-FEM preserves property conservation charge it can, in certain situations such so-called skull leakages, be...
The glucocorticoid receptor (GR) is a ligand-dependent transcription factor that able to modulate gene activity by binding its response element, interacting with other factors, and contacting several accessory proteins such as coactivators. Here we show GRIP120, one of the factors have identified interact receptor, identical heterogeneous nuclear ribonucleoprotein U (hnRNP U), matrix protein RNA well scaffold attachment regions. GR·hnRNP complexes were blotting coimmunoprecipitation....
We investigated whether attention to different stimulus attributes (location, intensity) has effects on the activity of secondary (SII) somatosensory cortex. Tactile stimuli were applied left index finger and evoked fields (SEFs) recorded using a whole-head magnetoencephalography (MEG) system. Two oddball paradigms with varying in location or intensity performed an ignore attend condition. Brain sources estimated by magnetic source imaging. No effect was observed for primary SI area....
Recognizing specific events in medical data requires trained personnel. To aid the classification, machine learning algorithms can be applied. In this context, records are usually high-dimensional, although a lower dimension also reflect dynamics of signal. study, electroencephalogram with Interictal Epileptic Discharges (IEDs) investigated. First, dimensions reduced using Dynamical Component Analysis (DyCA) and Principal (PCA), respectively. The examined topological analysis (TDA),...
<p style='text-indent:20px;'>We present a very simple yet powerful generalization of previously described model and algorithm for estimation multiple dipoles from magneto/electro-encephalographic data. Specifically, the consists in introduction log-uniform hyperprior on standard deviation set conditionally linear/Gaussian variables. We use numerical simulations an experimental dataset to show that approximation posterior distribution remains extremely stable under wide range values...
In comparative genomic hybridization (CGH), quantitative measurement of fluorescence intensity ratios on metaphase chromosomes is the basic method for detecting copy number changes in test DNA. The microscope images are usually acquired by high-resolution, highly sensitive, black and white (B&W) CCD cameras. This requires subsequent recording different color using appropriate filter combinations excitation emission. We describe an alternative approach one-chip true-color camera Kappa CF 15...
A new topology based feature extraction method for classification of interictal epileptiform discharges (IEDs) in EEG recordings from patients with epilepsy is proposed. After dimension reduction the recorded signal, using dynamical component analysis (DyCA) or principal (PCA), a persistent homology resulting phase space trajectories performed. Features are extracted and used to train evaluate support vector machine (SVM). Classification results on these features compared statistical...
To explore if background infraslow activity (ISA) can be retrieved from archived magnetoencephalographic (MEG) recordings and its potential clinical relevance.Archived of 15 patients with epilepsy 10 normal subjects were evaluated for MEG/EEG delta (0.5-3 Hz) ISA (0.01-0.1 Hz). The data obtained on a Neuromag/Elekta system 204 planar gradiometers 102 magnetometer sensors also 60 EEG channels. remove artifacts, all MEG files temporal signal space separation filtered. then analyzed the BESA...
Confocal laser scanning fluorescence microscopy is presently being used widely in biomedical research. A severe limitation for its use often still insufficient resolution. In situ measurements 3D conserved human cell nuclei showed that distance between fluorescent targets located the interior of such objects are limited a resolution regime appr. greater than or equal to 0.3 micrometer lateral and 0.7 axial direction. technique overcome these restrictions recently developed Spectral Precision...
Low resolution electromagnetic tomography (LORETA) is a well-known method for the solution of l2-based minimization problem EEG/MEG source reconstruction. LORETA with volume-based space widely used and much effort has been invested in theory application an experimental context. However, it especially interesting to use anatomical prior knowledge constrain LORETA's cortical surface. This strongly reduces number unknowns inverse approach. Unlike Laplace operator volume case rectangular regular...
Source localization from M/EEG data is a fundamental step in many analysis pipelines, including those aiming at clinical applications such as the pre-surgical evaluation epilepsy. Among available source algorithms, SESAME (SEquential SemiAnalytic Montecarlo Estimator) Bayesian method that distinguishes itself for several good reasons: it highly accurate localizing focal sources with comparably little sensitivity to input parameters; allows quantification of uncertainty reconstructed...
In this paper, we study the performance of a source montage corresponding to 29 brain regions reconstructed from whole-head magnetoencephalographic (MEG) recordings, with aim facilitating review MEG data containing epileptiform discharges. Test were obtained by superposing simulated signals 100-nAm dipolar sources resting state recording healthy subject. Simulated placed systematically different cortical locations for defining optimal regularization reconstruction and assessing detectability...