Research Topics

Neuroimaging falls into two broad categories:

• Structural imaging, which deals with the structure of the brain and the diagnosis of intracranial disease (such as tumor), and injury, and
• Functional imaging, which is used to diagnose metabolic diseases and lesions on a finer scale and also for neurological and cognitive psychology research.

Understanding Brain Architecture

Parietal's work on modelling brain architecture: works on diffusion MRI, anatomical MRI, and the joint analysis of anatomical and functional features.

Statistical inference and classification for neuroimaging

Work at Parietal on statistical analysis for multi subject analysis of neuroimaging data, and the comparison of neuroimaging data with genetic or behavioural information.

Decoding and inverse modeling of fMRI data

Functional MRI (fMRI) data provide an indirect measurement of brain activity. The challenge addressed in the research topic is the extraction of relevant information from such data to predict a behavioral variable, like what the subject was seeing or hearing while being in the scanner. The difficulty comes from the high dimensionality of the data and the limited number of observations. Methods involved are strongly related to the machine learning literature.

More details in the Parietal foundation text