Applicazione BCI – Software per terapia neuroriablitiativa per il morbo di Parkinson – realizzato in collaborazione con il centro Brainew di Trieste – 2011
EVENTS
XX Congresso Nazionale SIPF, Venice, 22-24.11.2012
A neurofeedback protocol for Parkinson patients based on Brain-Computer Interface
M.M. Turconi (1), S. Mezzarobba (2), P. Scoppola (1), J. Jarmolowska (1), P. Busan (1), P.P. Battaglini (1)
1. B.R.A.I.N. Center for Neuroscience, Department of Life Science – University of Trieste.
2. Degree in Physiotherapy – University of Trieste
Objectives: Parkinson’s disease (PD) can be supported by neurorehabilitation strategies, such as neurofeedback (NF). An efficient way to give NF to PD patients is motor imagery (MI): an action is mentally reproduced without being translated into a motor output. NF is a fundamental substrate of any Brain-Computer Interfaces (BCI, Fig.1). BCI is a system that, excluding the normal output pathways (muscles and nerves) allows to drive an external device using brain signal: it is possible to identify brain signal changes called sensorimotor rhythms (SMRs), that occur when an user makes a MI exercise, and use them for NF. A SMRs-based NF treatment can be useful to enhance motor strategies in case of freezing episodes, and to improve cognitive functions (working memory and movement planning).