Dopamine improves exploration after expectancy violations and induces psychotic-like experiences in patients with Parkinson's disease

Dopamine neurons are sensitive to novel and rewarding events, and dopamine signals can modulate learning in higher-level brain networks. Additionally, dopamine abnormalities appear to be central to the pathophysiology of schizophrenia spectrum disorders. In this study, we investigate the dopaminergi...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Polner Bertalan Kristóf
Moustafa Ahmed A.
Nagy Helga
Takáts Annamária
Györfi Orsolya
Kéri Szabolcs
Dokumentumtípus: Cikk
Megjelent: 2016
Sorozat:NEUROSCIENCE LETTERS 616
doi:10.1016/j.neulet.2016.01.037

mtmt:3034961
Online Access:http://publicatio.bibl.u-szeged.hu/11333
Leíró adatok
Tartalmi kivonat:Dopamine neurons are sensitive to novel and rewarding events, and dopamine signals can modulate learning in higher-level brain networks. Additionally, dopamine abnormalities appear to be central to the pathophysiology of schizophrenia spectrum disorders. In this study, we investigate the dopaminergic modulation of schizotypal traits and exploration after expectancy violations in Parkinson's disease (PD) patients on dopamine replacement therapy. Exploration after expectancy violations was measured with a latent inhibition and an anomaly categorisation task. Patients with PD had significantly elevated levels of schizotypy and reduced latent inhibition, relative to the controls. Anomaly categorisation was enhanced at trend level among the patients. Dopaminergic antiparkinsonian drugs showed dose-dependent effects: they induced psychotic-like experiences, and at the same time, they disrupted latent inhibition and made categorisation of anomaly more efficient. Most of these findings were replicated in an independent sample of patients with PD. An up-regulated dopamine system in medicated PD patients might tune higher-level brain networks to engage in learning when faced with unexpected information, and therefore hasten the updating of internal models.
Terjedelem/Fizikai jellemzők:132-137
ISSN:0304-3940