ATHENA Research team
Computational Imaging of the Central Nervous System
Our objective is to explore the Central Nervous System (CNS) through computational imaging, by putting the emphasis on signal and image recording from Diffusion Magnetic Resonance Imaging (D-MRI), Magneto-Encephalography (MEG) and Electro-Encephalography (EEG). Our strategy for measuring and processing the CNS (brain and spinal cord) functional and anatomical connectivities is based on the following road map:
- Develop rigorous mathematical and computational tools for the analysis and interpretation of Diffusion MRI and MEG and EEG data.
- Improve acquisition and processing techniques and push forward the state-of-the-art in Computational CNS imaging.
- Use our expertise to address with collaborators clinical and neuroscience questions.
In order to further increase the impact of our research, we also aim to push our contributions towards some selected applications related to some important CNS diseases, neuroscience questions and Brain Computer Interface applications.
Our main research directions are :
- D-MRI and MEEG Signal acquisitions and processing.
- Computational Diffusion MRI.
- CD-MRI & CNS Anatomical Analysis.
- Accurate MEEG forward/inverse models.
- From MEEG to Brain Computer Interface.
International and industrial relations
Our research is performed within the framework of a network of national and international collaborators among which INSERM U678 and CENIR at CHUPS (Paris); INSERM U751 (Marseille); NIH, NICHD, STBB (Bethesda); CMRR and ECE Dept, University of Minnesota; Dept of Radiology, University of Pennsylvania; Montreal University, McGill University; MPI for Human Cognitive and Brain Sciences (Leipzig) etc
Research teams of the same theme :
- ARAMIS - Algorithms, models and methods for images and signals of the human brain
- ASCLEPIOS - Analysis and Simulation of Biomedical Images
- BIOVISION - Biologically plausible Integrative mOdels of the Visual system : towards synergIstic Solutions for visually-Impaired people and artificial visiON
- CAMIN - Control of Artificial Movement & Intuitive Neuroprosthesis
- GALEN - Organ Modeling through Extraction, Representation and Understanding of Medical Image Content
- MATHNEURO - Mathématiques pour les Neurosciences
- MIMESIS - Computational Anatomy and Simulation for Medicine
- MNEMOSYNE - Mnemonic Synergy
- NEUROSYS - Analysis and modeling of neural systems by a system neuroscience approach
- PARIETAL - Modelling brain structure, function and variability based on high-field MRI data.
- VISAGES - Vision, Action and information manaGement System in health
- XPOP - statistical modelling for life sciences
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