Name: CIBM Annual Symposium 2024
Start: 2024-11-07
End: 2024-11-07
Location: Forum Rolex Learning Center, EPFL, Lausanne Switzerland

CIBM SP EPFL-UNIGE SECTION

Network Analysis & Functional MR Imaging

Section Head: Prof. Dimitri Van De Ville (EPFL)

The Network Analysis & Functional MR Imaging (EPFL-UNIGE) Section pursues the development and integration of innovative data-processing tools at various stages of the acquisition, analysis, and interpretation pipeline of neuroimaging data, in particular, using (functional) magnetic resonance imaging, electroencephalography, and optical techniques. We aim at obtaining new insights into brain function & dysfunction by approaches that are based on modeling the brain as a network and as a dynamical syste

RESEARCH TOPICS

The role of the hippocampus in encoding memories and tracking personal goals

Description: Our brains are continuously monitoring what we have already accomplished, are currently pursuing, and are planning to tackle in the future. In this complex and dynamic process, the hippocampus plays a crucial role, in particular demonstrating a specific organization of the episodic memory information along its longitudinal axis, transitioning from more detailed representations (e.g., immediate goals) in the posterior part, to more generalized information (e.g. temporallly distant goals) in the anterior ones. This study investigates the role of the hippocampus in distinguishing goals over time. For this, we analyze functional Magnetic Resonance Imaging (fMRI) scans of healthy subjects acquired complex spatial navigation tasks, to investigate brain activation during the accomplishment of specific goals.

Investigators: Maria Giulia Preti (EPFL), Dimitri Van De Ville (EPFL),

Collaborators: Alison Montagrin (UNIGE), Victor Ferat (UNIGE), Sophie Schwartz (UNIGE)

Investigating memory consolidation during sleep with functional MRI

Description: 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 is used to analyze dynamic fMRI signatures during different sleep stages, and investigate memory consolidation mechanisms.

Investigators: Maria Giulia Preti (EPFL), Dimitri Van De Ville (EPFL),

Collaborators: Sophie Schwartz (UNIGE), Célia Lacaux (UNIGE) , Delphine Oudiette (INSERM, Paris)

Brain dynamics with functional MR imaging

Description: We develop novel methods to explore dynamic functional connectivity, based on functional MRI. This involves the use of sophisticated mathematical and graph analysis tools aiming to build meaningful functional brain networks and disentangle the dynamics of brain states.