Projects
New approaches for detection and modulation of abnormal brain networks in a preclinical model for epilepsy based on a combination of functional magnetic resonance imaging, optogenetics, chemogenetics and intracranial electroencephalography Ghent University
Epilepsy is a common neurological disorder that is characterized by the occurrence of spontaneous
seizures. Unfortunately, about one third of the patients still have seizures despite treatment with
anti-epileptic drugs (AED). In addition, many patients have severe side effects due the large doses
of AED they need to take. Other treatments are required to improve the quality of life of those
patients. In order to find ...
High-density electroencephalography methods to investigate dynamic functional interactions between distant brain areas KU Leuven
A large part of cerebral processes is implemented through functional interactions between groups of neurons located in distant brain regions. High-density electroencephalography (EEG) is a technique that permits studying brain activity in a non-invasive manner and with millisecond temporal resolution, and is particularly suited to study the electrophysiological processes that underlie long-range functional interactions in the human brain. ...
The DUCK project: Distraction from learning by Unrelated auditory events assessed by Computational modeling and Knowledge extraction from single-trial electroencephalography (EEG) Ghent University
The human brain is remarkable capable to suppress, focus on, and switch between auditory streams, but the underlying interplay of neurophysiology and acoustics remains unclear. The DUCK project aims to develop a human-mimicking computational approach applicable in real-world learning conditions. To assess and validate the included stages of auditory processing, single-trial electroencephalography (EEG) will be used in ecological valid ...
Listen very carefully! Online tracking of auditory attention via electroencephalography (EEG) in individuals and groups of learners KU Leuven
Online measurement of auditory attention via electroencephalography (EEG) in individuals and groups of learners KU Leuven
Attention plays a crucial role in our understanding of how students learn and are distracted in the classroom. However, there is little to no research on the auditory component of attention, yet it could help us to improve our understanding of (individual differences in) the learning process. Educational scientists study attention through post-hoc measurements, but these are inaccurate and do not account for fluctuations of attention over ...
Studying brain network changes in epilepsy by combining functional magnetic resonance imaging, intracranial electroencephalography and opto-/chemogenetics to unravel biomarkers for disease prognosis and efficacy of anti-epileptic treatments Ghent University
Epilepsy is a neurological disorder characterized by recurrent epileptic seizures. In about 30% to
40% of the patients with epilepsy, the seizures are not sufficiently controlled with anti-epileptic
drugs (AEDs). Currently, it is still very difficult to predict which patients will respond to AEDs or
deep brain stimulation (DBS), another treatment possibility. Research has shown that abnormal
functional brain networks ...
Functional connectivity in the brain during motor coordination with high-density electroencephalography KU Leuven
Perception, action, and cognition are achieved through concerted neural activity in large-scale brain networks. As such, understanding the basic mechanisms of long-range neuronal communication may permit to elucidate how the brain orchestrates when we perform a complex task. Motor coordination is a prototypical example of complex behaviour, and its study is very well suited for broader investigations about the architecture and functioning of ...
Detecting large-scale brain networks using high-density electroencephalography. KU Leuven
EEG everywhere and always: design of signal processing algorithms for high-density mobile electroencephalography KU Leuven
The project aims at designing novel multi-channel algorithms for several EEG signal processing tasks, using a state-of-the-art mobile high-density EEG headset with dry electrodes. The results are relevant for future mobile brain-computer interfaces.