Explore the many projects available in our laboratory and seek your next research adventure!
The following projects are non exhaustive ones, feel free to contact directly lab members if you are looking for a project!
Dynamics of brain networks in tinnitus during auditory downregulation
Functional MRI neurofeedback (NF) offers promising clinical benefits for patients suffering from chronic subjective tinnitus (Gninenko et al., 2024). The goal is to better understand the relationship between targeted auditory downregulation in the brain using fMRI NF, brain networks involved in fMRI NF itself, and how volitional control over the auditory cortex can be achieved.
Dynamic mode decomposition of fMRI during film watching
The use of naturalistic stimuli, such as films, during functional MRI acquisitions is opening a new way to explore brain activity. One approach is “dynamic mode decomposition” (DMD), a latent space discovery method built upon auto-regressive models that can identify different dynamical components within the multivariate time series provided by fMRI. First analyses have shown promising results, but the aim of this project is to revisit and deepen these initial findings with the purpose of further dissemination.
Encoding and Decoding fMRI during film watching
While human brain decoding and encoding for simple images have been explored here we propose to study human brain decoding and encoding during naturalistic stimuli i.e film watching. First analyses have shown promising results. The goal of this project is to better understand its neurological mechanisms in fMRI.
Dynamics of brain networks for optimised energy distribution
Every single moments of our lives we solicit brain which in turn, consumes much of the energy we possess. However, given that we have limited resource, our brain would supposedly need to distribute resources across its regions in an optimised way. Now, the aim of this project is to study its optimised distribution across situations (e.g tasks / rest / film) considering multiple optimisation schemes derived from Fractional Programming.
Investigating memory consolidation during sleep with functional MRI
Sleep has a crucial role in memory consolidation, but the specific brain mechanisms allowing for the development of memory traces remain still largely unknown. A unique dataset of lucid dreamers who were recorded with functional MRI during training of a hand motor sequence both awake and during sleep will be used to investigate these mechanisms.
Graph signal processing to investigate structure-function coupling during sleep
Brain functional activity emerges from the underlying anatomical structure of neural fiber bundles in a non trivial way. Considering functional magnetic resonance imaging (fMRI) recorded signals as defined on the structural graph allows us to address this question in the graph signal processing framework, adapting conventional signal processing concept to the domain of graphs. In this project, we aim at using this methodology to investigate how brain structure-function coupling dynamically varies during sleep.
The role of the hippocampus in tracking personal goals
This study investigates the role of the hippocampus in distinguishing goals over time. For this, we will analyze functional Magnetic Resonance Imaging (fMRI) scans of healthy subjects acquired while they were required to accomplish specific tasks, to investigate brain activation during the accomplishing of specific goals.