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 the network organization of the brain and to optimize treatment of patients with brain lesions. In particular, we aim to: – characterize the changes in brain network organization induced by focal lesions or diffuse degeneration; – visualize the mechanisms underlying functional recovery; – identify prognostic factors; – 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.
The "implicit" serial reaction time task induces rapid and temporary adaptation rather than implicit motor learning.
Bringing proportional recovery into proportion: Bayesian modelling of post-stroke motor impairment.
Motor improvement estimation and task adaptation for personalized robot-aided therapy: a feasibility study.
Consensus on the reporting and experimental design of clinical and cognitive-behavioural neurofeedback studies (CRED-nf checklist).
Département des neurosciences cliniques