Projects
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
Detecting large-scale brain networks using high-density electroencephalography. KU Leuven
Sabbatical Dante Mantini: Investigating movement-related neural dynamics using mobile high-density electroencephalography KU Leuven
I have worked at the “G.D’Annunzio” University in Chieti between 2005 and 2009, during my first post-doc. For this reason, I already know many professors working at the Department of Neuroscience, Imaging and Clinical Sciences. I had with them many fruitful research collaborations in the past decade, but the number of collaborative studies has decreased over time, also due to the COVID-19 pandemic. During the sabbatical period, I aim to start ...
Mobile eye-tracking glasses and electroencephalography (EEG). Ghent University
The requested equipment - a combination of mobile eye-tracking glasses and EEG – enables the investigation of research questions at the interface between human visual perception, cognition and various external stimuli (e.g., real-world environments and maps), especially while on-the-go (e.g., driving, cycling and walking) and at different environments. It helps to address research issues from both behavioural and neuropsychological ...
Combining optogenetics, chemogenetics, intracranial electroencephalography and functional magnetic resonance imaging to investigate abnormal functioning of brain networks during epileptogenesis Ghent University
This project will investigate
- how brain networks change during the development of epilepsy using functional MRI, specific neuromodulation tools and advanced network analysis;
- whether epilepsy-related network changes are linked with the severity of epilepsy and the obtained efficacy of epilepsy therapies and
- whether these network changes can be reversed in order to suppress epileptic seizures.
Mapping flow experience by electroencephalography (EEG) dynamics and connectivity Ghent University
Although not originally designed as an explanation of media enjoyment, the Flow Theory (FT) has been broadly used in the field of media psychology to investigate issues like how does enjoyment occur during media exposure and why does it differ among individuals. In this project, we will investigate using neuroscience methods the Synchronization Theory of Flow (STF), which defines the subjective experience of “flow”, focused motivation leading ...
Validation of language related EEG algorithm for aphasia rehabilitation (Neurolap) Ghent University
After a stroke, the affected brain functions can be neurally reorganized (neuroplasticity) during rehabilitation. Focusing on language functions (i.e. phonology, semantics and grammar), the diagnosis and follow-up of aphasia currently occurs with ‘pencil-and-paper tasks’ which lack a direct mapping of neuroplasticity. The implementation of a linguistic electro-encephalographic (EEG) registration during the diagnostic (re-)evaluation of ...
Functional connectivity and oscillatory neuronal activity in the human brain KU Leuven
Perception, cognition and behaviour are achieved through the coordination of multiple brain regions, which exchange information between each other. Despite enormous recent progress, our understanding of the dynamic long−range neuronal communication between distant regions in the brain is still very limited. In this project we will develop a methodology for imaging brain networks using electroencephalography, which provides a direct measure of ...