Transcript Slide 1

Project: Understanding and Treating
Epilepsy that recurs after surgery
(Christian Habeck, J. Leiphart, X. Papademetris, Olivier
David, Line Garnero)
Papademetras interested in tumor modeling.
Description of networks are critical to understanding.
Probabilistic maps might address the needs of variability
Area 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 spatialtemporal coordinates
Is it possible or even necessary to develop databases
All 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