Imaging-Assisted Neurorehabilitation
Neurological and cognitive deficits are frequent and highly disabling. Intensive training and rehabilitation can lead to improvement, but the selection of efficient treatment strategies for the individual patient is often difficult because of insufficient knowledge about how the human brain can recover lost functions. We make use of recent advances in neuroimaging techniques to non-invasively assess brain organization and to support the rehabilitation of patients with brain lesions.
In particular, we aim to:
1) Characterize the changes in brain organization induced by focal lesions or diffuse degeneration;
2) Visualize the mechanisms underlying functional recovery;
3) Identify prognostic factors;
4) Assess the effect of novel treatment approaches that might improve recovery, such as transcranial stimulation, neuro-feedback, and others.
Functional imaging and advanced signal analysis techniques are also used to investigate the mechanisms of human cognition and behavior such as: decision-making, introspection, and yawning.
We contribute to NUTMEG, an open-source toolbox for Matlab enabling EEG and MEG source analysis as well as reconstructions of functional networks.