Behavioral evidence of delayed prediction signals during agency attribution in patients with schizophrenia

Psychiatry Res. 2015 Nov 30;230(1):78-83. doi: 10.1016/j.psychres.2015.08.023. Epub 2015 Aug 13.

Abstract

Self-disturbance, a core feature of schizophrenia, recently has been explained from the standpoint of an abnormal sense of agency (SoA). Previous studies showed that aberrant SoA in schizophrenia arise from imprecise predictions about the sensory consequences of actions. However, the nature of the malfunctioning predictions remains unclear. We examined the temporally "delayed" nature of inadequate predictions. We studied 30 patients with schizophrenia and 30 healthy controls. Our original SoA task evaluates explicit experience of the temporal causal relationship between an intentional action and an effect on a computer screen under the presence of temporal biases. We introduced an adaptation with a "trial-by-trial" method that prolonged or shortened the temporal biases. We hypothesized that delayed prediction signals in schizophrenia could lead to a match in timing between predictions and actual outcomes, resulting in self-agency. The adjustment courses to changing temporal biases were evaluated. Patients with schizophrenia continued to feel self-agency even when the adjusted temporal bias was longer than 1000ms. This result indicated that patient's prediction would be delayed in each trial. Our study empirically showed behavioral evidence for "delayed" prediction signals in a SoA paradigm for the first time.

Keywords: Corollary discharge; Forward model; Prediction; Schizophrenia; Self; Self-disturbance; Sense of agency.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acoustic Stimulation / methods
  • Adult
  • Emotions / physiology
  • Female
  • Humans
  • Intention*
  • Male
  • Middle Aged
  • Photic Stimulation / methods
  • Predictive Value of Tests
  • Schizophrenia / diagnosis*
  • Schizophrenic Psychology*
  • Sensation / physiology
  • Social Perception*
  • Time Factors