Steffen Moritz1, Florian Scheu2, Christina Andreou1, Ute Pfueller2,3, Matthias Weisbrod2,3, Daniela Roesch-Ely2. 1. a Department of Psychiatry and Psychotherapy , University Medical Center Hamburg-Eppendorf , Hamburg , Germany. 2. b Department of General Psychiatry , Center for Psychosocial Medicine , Heidelberg , Germany. 3. c Department of Psychiatry , SRH Klinikum Karlsbad-Langensteinbach , Karlsbad , Germany.
Abstract
INTRODUCTION: A liberal acceptance (LA) threshold for hypotheses has been put forward to explain the well-replicated "jumping to conclusions" (JTC) bias in psychosis, particularly in patients with paranoid symptoms. According to this account, schizophrenia patients rest their decisions on lower subjective probability estimates. The initial formulation of the LA account also predicts an absence of the JTC bias under high task ambiguity (i.e., if more than one response option surpasses the subjective acceptance threshold). METHODS: Schizophrenia patients (n = 62) with current or former delusions and healthy controls (n = 30) were compared on six scenarios of a variant of the beads task paradigm. Decision-making was assessed under low and high task ambiguity. Along with decision judgments (optional), participants were required to provide probability estimates for each option in order to determine decision thresholds (i.e., the probability the individual deems sufficient for a decision). RESULTS: In line with the LA account, schizophrenia patients showed a lowered decision threshold compared to controls (82% vs. 93%) which predicted both more errors and less draws to decisions. Group differences on thresholds were comparable across conditions. At the same time, patients did not show hasty decision-making, reflecting overall lowered probability estimates in patients. CONCLUSIONS: Results confirm core predictions derived from the LA account. Our results may (partly) explain why hasty decision-making is sometimes aggravated and sometimes abolished in psychosis. The proneness to make risky decisions may contribute to the pathogenesis of psychosis. A revised LA account is put forward.
INTRODUCTION: A liberal acceptance (LA) threshold for hypotheses has been put forward to explain the well-replicated "jumping to conclusions" (JTC) bias in psychosis, particularly in patients with paranoid symptoms. According to this account, schizophreniapatients rest their decisions on lower subjective probability estimates. The initial formulation of the LA account also predicts an absence of the JTC bias under high task ambiguity (i.e., if more than one response option surpasses the subjective acceptance threshold). METHODS:Schizophreniapatients (n = 62) with current or former delusions and healthy controls (n = 30) were compared on six scenarios of a variant of the beads task paradigm. Decision-making was assessed under low and high task ambiguity. Along with decision judgments (optional), participants were required to provide probability estimates for each option in order to determine decision thresholds (i.e., the probability the individual deems sufficient for a decision). RESULTS: In line with the LA account, schizophreniapatients showed a lowered decision threshold compared to controls (82% vs. 93%) which predicted both more errors and less draws to decisions. Group differences on thresholds were comparable across conditions. At the same time, patients did not show hasty decision-making, reflecting overall lowered probability estimates in patients. CONCLUSIONS: Results confirm core predictions derived from the LA account. Our results may (partly) explain why hasty decision-making is sometimes aggravated and sometimes abolished in psychosis. The proneness to make risky decisions may contribute to the pathogenesis of psychosis. A revised LA account is put forward.
Entities:
Keywords:
Schizophrenia; decision thresholds; delusion; jumping to conclusions; psychosis
Authors: Nico Pytlik; Daniel Soll; Klaus Hesse; Steffen Moritz; Andreas Bechdolf; Jutta Herrlich; Tilo Kircher; Stefan Klingberg; Martin W Landsberg; Bernhard W Müller; Georg Wiedemann; Andreas Wittorf; Wolfgang Wölwer; Michael Wagner; Stephanie Mehl Journal: BMC Psychiatry Date: 2020-11-23 Impact factor: 3.630
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