PARIETAL Research team
Modelling brain structure, function and variability based on high-field MRI data.
Team presentationPARIETAL is an INRIA Research Team within the Neurospin platform of CEA Institute. It is located in Saclay, in Neurospin building.
Neurospin is a platform for the acquisition of neuroimaging data based on high fields MRI scanners, which are the most powerful ones in France today. The scanners are used to acquire high-quality data, whose resolution is also optimized (about 1mm).
Parietal aims at addressing several issues raised by the analysis of this data, in order to benefit from the potential of this data. In this perspective, Parietal is involved in the introduction of novel statistical and geometrical analysis tools which enable neuroscientists to better understand human brain structure, variability and function.
Such tools are especially needed to describe and understand the sequence of phenomena which constitute brain activity, which are now actively investigated throughout the world. They also aims at analysing inter-individual differences , with a special interest in genetic factors, which in turns has strong implications in the understanding of brain diseases.
Parietal gives a free access to its tools through the scikit learn (machine learning), medInria (medical imaging) and nipy (functional neuroimaging) softwares.
- Describe and understand more deeply brain architecture by making a more systematical use of anatomical and functional informations provided by different MRI modalities. The aim of this axis is to provide neuroscientists with optimized means of localizing anatomical and unctional features in their data, by using new geometric and statistical strategies. This may clarify the understanding of brain structure and function.
- Understand the common features within a subject population, and then also variability, which consists in different amounts of activity, different structural organization and positions across subjects. Part of this variability may be linked to genetic features, which deserves particular investigation. Therefore, Parietal develops and enhances the statistical tools which are used to analyse multi-subject data.
- Understand the mechanisms of brain activity in some experimental contexts of interest. A particular way to deal with this is to use decoding tools, which extract some parameters that characterize the state, the activity or the perception of a subject from the acquired functional MRI data. PARIETAL also develops some classification and inverse problem tools to perform this decoding more optimally.
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
- ATHENA - Computational Imaging of the Central Nervous System
- 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
- VISAGES - Vision, Action and information manaGement System in health
- XPOP - statistical modelling for life sciences