Neurofeedback (NF) is a form of biofeedback based on the self-modulation of brain activity; it aims to enhance
mental and behavioral performances. The user modifies his brain functions thanks to EEG-mediated self-regulation
and therapist’s guidance. Recent advances in Brain-Computer Interfaces (BCI) have provided new evidence on
the effectiveness of NF in reinforcing cognitive functions expecially in children with ADHD. The applications on adults
with cognitive deficits are still few. The study aims to investigate the possible effect of NF techniques on cognitive
performance of patients with Parkinson’s disease (PD) in terms of changes in scores at the neurocognitive assessment.
Ten PD patients, staged according to Hoehn & Yahr scale and cognitively evaluated, were recruited. Inclusion
criteria: age 55-85, correct audio-visual functions, phase-on of dopaminergic therapy, Mild Cognitive Impairment. The
rehabilitation program has been structured in 24 sessions. The NeuroSky MindWave headset and related software
were used as BCI. At the end of the therapeutic path, the pre and post-treatment test’s results were compared. Statistical
analyzes were performed with SAS. Cognitive revaluation showed a significant increase in scores and satisfaction
questionnaires reported high values. The application of NF techniques in PD patients was promising. The increase
in satisfaction levels seems to be due to the perception of a direct control over one’s cognitive performances.