A5075944478- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- Neural dynamics and brain function
- Blind Source Separation Techniques
- Electrical and Bioimpedance Tomography
- Atomic and Subatomic Physics Research
- Epilepsy research and treatment
- Advanced Data Compression Techniques
- Advanced Neuroimaging Techniques and Applications
Ghent University
2011-2016
iMinds
2016
Ghent University Hospital
2013
Ecuador is one of the countries in world where ticks and tick-borne diseases are major constraints on cattle health productivity. The intense use synthetic acaricides to manage tick infestations resulted widespread acaricide resistance Rhipicephalus microplus , which known infest over 75% farms raised country. Sustainable environmentally friendly alternatives control R. needed urgently. This minireview describes a project at Santo Domingo Experimental Station National Institute Agricultural...
Electrical source imaging of interictal spikes observed in EEG recordings patients with refractory epilepsy provides useful information to localize the epileptogenic focus during presurgical evaluation. However, selection time points or epochs order estimate origin activity remains a challenge. In this study, we consider Bayesian technique for distributed sources, i.e. multiple volumetric sparse priors (MSVP) approach. The approach allows courses intensity sources corresponding specific...
The simulation of the electroencephalogram (EEG) using a realistic head model needs correct conductivity values several tissues. However, these are not precisely known and have an influence on accuracy EEG source analysis problem. This paper presents novel numerical methodology for increase dipole localization presented subspace electrode selection (SES) is able to limit effect uncertain solution inverse problem, yielding improved accuracy. We redefine traditional cost function associated...
We investigated the influence of using simplified models skull on electroencephalogram (EEG) source localization. An accurately segmented from computed tomography (CT) images, including spongy and compact bones as well some air-filled cavities, was used a reference model. The approximated homogeneous compartment with: (1) isotropic, (2) anisotropic conductivity. results showed that these approximations could lead to errors more than 2 cm in dipole estimation. recommend use anisotropy but...
We investigated the influence of using simplified skull models on electroencephalogram (EEG) source localization. The were derived from CT and MR images, with isotropic conductivity modeled as either heterogeneous or homogeneous. A total four head compared against a reference model accurately segmented images. Our results show that use geometry for skull, can lead to errors approximately 1 cm sources located in central temporal regions brain.
Epilepsy is a neurological disorder characterized by seizures, i.e. abnormal synchronous activity of neurons in the brain. During focal seizure epileptic spreads rapidly from ictal onset region to neighboring brain areas. ElectroEncephaloGraphy (EEG) commonly used technique diagnose epilepsy. EEG has high temporal resolution which allows us investigate dynamics underlying activity. Due rapid propagation seizure, can originate network regions are simultaneously active before being noticeable...
Inter subject variability of the electrical conductivity brain, skull and skin strongly limits accuracy by which current sources underlying electro-encephalography (EEG) can be localized in brain. This inter also constrains possibility to use EEG amplitude parameters as a biomarker compare amount neural activity between different patients. To overcome this problem, one may estimate vivo analyzing potentials generated known electric currents, injected into pairs electrodes. At present,...