Bernasconi, FoscoBlondiaux, EvaPotheegadoo, JevitaStripeikyte, GiedrePagonabarraga, JavierBejr-Kasem, HelenaBassolino, MichelaAkselrod, MichelMartinez-Horta, SaulSampedro, FredericHara, MasayukiHorvath, JuditFranza, MatteoKonik, StéphanieBereau, MatthieuGhika, Joseph-AndréBurkhard, Pierre R.Van De Ville, DimitriFaivre, NathanRognini, GiulioKrack, PaulKulisevsky, JaimeBlanke, Olaf2021-04-292021-04-292021-04-292021-04-2810.1126/scitranslmed.abc8362https://infoscience.epfl.ch/handle/20.500.14299/177671Hallucinations in Parkinson’s disease (PD) are disturbing and frequent non-motor symptoms and constitute a major risk factor for psychosis and dementia. We report a robotics-based approach applying conflicting sensorimotor stimulation, enabling the induction of presence hallucinations (PHs) and the characterization of a subgroup of patients with PD with enhanced sensitivity for conflicting sensorimotor stimulation and robot-induced PH. We next identify the fronto-temporal network of PH by combining MR-compatible robotics (and sensorimotor stimulation in healthy participants) and lesion network mapping (neurological patients without PD). This PH-network was selectively disrupted in an additional and independent cohort of patients with PD, predicted the presence of symptomatic PH, and associated with cognitive decline. These robotics-neuroimaging findings extend existing sensorimotor hallucination models to PD and reveal the pathological cortical sensorimotor processes of PH in PD, potentially indicating a more severe form of PD that has been associated with psychosis and cognitive decline.Robot-induced hallucinations in Parkinson’s disease depend on altered sensorimotor processing in fronto-temporal networktext::journal::journal article::research article