Risky business! Behavioral bias and motivational salience of rule-violations in children with conduct disorder.

Risky business! Behavioral bias and motivational salience of rule-violations in children with conduct disorder.

Jusyte, Aiste;Pfister, Roland;Gehrer, Nina;Schönenberg, Michael;
psychiatry research 2019 Vol. 271 pp. 740-746
252
jusyte2019riskypsychiatry

Abstract

Conduct disorder is characterized by both habitual aggression as well as non-aggressive rule-breaking behavior. While a large body of research has focused on aggressive behavior to date, the subtype of non-aggressive rule-breaking behavior is poorly understood. The current study represents a first attempt to directly assess decision biases toward rule-breaking behavior, their motivational salience, and the association with interpersonal factors in conduct disorder. Participants (n = 20 children with conduct disorder and n = 20 healthy controls) played a video game with the goal to deliver a hot pizza by bicycle to a marked location on a two-dimensional city map. In each trial, participants decided whether to use the regular route (streets) or opt for a potential shortcut that was either permitted (bicycle lane) or prohibited (park). The efficiency of the shortcut was parametrically varied to assess individual decision functions. Consistent with our hypotheses, group differences emerged only when taking a shortcut represented a rule violation (park condition), with the conduct disorder group committing significantly more rule violations than controls. Furthermore, conduct disorder children showed a substantial frequency of rule violations even in the absence of shortcut related gains, indicating a pronounced insensitivity towards sanctions. Importantly, this tendency was associated with self-reported impulsivity and rule violations in real life.

Citation

ID: 14962
Ref Key: jusyte2019riskypsychiatry
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
14962
Unique Identifier:
S0165-1781(18)31452-5
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet