(Christian Habeck, J. Leiphart, X. Papademetris, Olivier David, Line Garnero)

Project: Understanding and Treating Epilepsy that recurs after surgery

Papademetras interested in tumor modeling.Description of networks are critical to understanding.

Probabilistic maps might address the needs of variabilityArea 47 is often active when distinct cognitions are related to

one another.Anatomical and functional databases are poorly used.

Transformation or relation of Cartesian coordinates to spatial-temporal coordinates

Is it possible or even necessary to develop databasesAll models are profoundly effected by pathology. How do we

deal with pathology?

Imagine being able to predict where a tumor is going to be? Where it is going to grow. This could be used to guide

radiation treatment. DTI

95% of enhancing tumor resected increases life expectancy

fMRI can be used to test drugs and understand the plasticity

• Our knowledge of how the brain reorganizes itself is lacking. If we could better understand this, this could inform how we resect tumors.

• DBS and drug effects might be better understood using fMRI techniques

Project:Understanding and Treating Epilepsy that recurs after surgery

• Network model of recurrent post-surgery (RPS) epilepsy• Biology: O. David & L. Garnero - Dynamics of

synchronus epileptic networks. Animal & human studies• Disease Characterization/imaging: X. Papademetris

ECG, xMRI, etc studies in RPS patients.• Data Analysis: C. Habeck - Multivariate statistical

analysis (or new statistical/mathematical models) of brain activity (ECR, EEG, xMRI, etc.)

• Treatment: J. Leiphart - Comparison of Electrical stim, DC polarization of tissue and tissue cooling