Bernasconi, FoscoBlondiaux, EvaPotheegadoo, JevitaStripeikyte, GiedrePagonabarraga, JavierBejr-Kasem, HelenaBassolino, MichelaAkselrod, MichelMartinez-Horta, SaulSampedro, FredHara, MasayukiHorvath, JuditFranza, MatteoKonik, StéphanieBereau, MatthieuGhika, Joseph-AndréBurkhard, Pierre R.Van De Ville, DimitriFaivre, NathanRognini, GiulioKrack, PaulKulisevsky, JaimeBlanke, Olaf2020-09-282020-09-282020-09-282020-05-1210.1101/2020.05.11.054619https://infoscience.epfl.ch/handle/20.500.14299/171975Hallucinations in Parkinson’s disease (PD) are one of the most disturbing non-motor symptoms, affect half of the patients, and constitute a major risk factor for adverse clinical outcomes such as psychosis and dementia. Here we report a robotics-based approach, enabling the induction of a specific clinically-relevant hallucination (presence hallucination, PH) under controlled experimental conditions and the characterization of a PD subgroup with enhanced sensorimotor sensitivity for such robot-induced PH. Using MR-compatible robotics in healthy participants and lesion network mapping analysis in neurological non-PD patients, we identify a fronto-temporal network that was associated with PH. This common PH-network was selectively disrupted in a new and independent sample of PD patients and predicted the presence of symptomatic PH. These robotics-neuroimaging findings determine the behavioral and neural mechanisms of PH and reveal pathological cortical sensorimotor processes of PH in PD, identifying a more severe form of PD associated with psychosis and cognitive decline.text::journal::journal article::research article