Publication

Sensorimotor Induction of Auditory Misattribution in Psychosis is Linked to Neural Disconnectivity

Résumé

Background: Schneiderian first rank symptoms (FRS) are characterized by a diminished demarcation of self-other boundaries, causing misattribution of self-generated thoughts and actions to external sources. We have shown that introducing sensorimotor prediction error (SPE) by a robotic device in healthy subjects can induce a Feeling of a Presence (FoP) which is related to the FRS (Blanke et al. 2014). Here, we tested if SPE may induce auditory misattribution in psychotic patients and if this is related to neural connectivity in the temporoparietal cortex, insular cortex and fronto-parietal cortex (FoP Network). Methods: Participants manipulated a haptic robotic system inducing a sensorimotor conflict while performing a self-other auditory discrimination task. 31 early psychotic patients (19 with and 12 without FRS) and 20 controls participated in the experiment. We measured accuracy (d′) on auditory self-other discrimination task during sensorimotor conflict induction or control condition, functional connectivity magnitude in a priori FoP network, and calculated correlation between the two measures. Results: Patients with FRS had reduced accuracy in auditory self-other discrimination when sensorimotor conflict was induced (F(2, 44)=6.68, p=.002). rsfMRI connectivity analysis indicated lower connectivity for these patients in regions of the FoP network compared to the non-first rank and control groups (p=.015, p=.014). The level of functional connectivity in the FoP network correlated with the reduction of self-other discrimination in the FRS+ group (r=-0.56, p=.03). Conclusions: Experimental induction of SPE can cause self-other confusion in the auditory domain. This deficit in self-other discrimination was correlated to specifically reduced connectivity in the FoP network related to sensorimotor self-representation.

À propos de ce résultat
Cette page est générée automatiquement et peut contenir des informations qui ne sont pas correctes, complètes, à jour ou pertinentes par rapport à votre recherche. Il en va de même pour toutes les autres pages de ce site. Veillez à vérifier les informations auprès des sources officielles de l'EPFL.

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.