risk factors for addiction and their association with model-based behavioral control

risk factors for addiction and their association with model-based behavioral control

;Andrea Maria Franziska Reiter;Andrea Maria Franziska Reiter;Lorenz eDeserno;Lorenz eDeserno;Lorenz eDeserno;Tilmann eWilbertz;Hans-Jochen eHeinze;Hans-Jochen eHeinze;Florian eSchlagenhauf;Florian eSchlagenhauf
lasers in manufacturing and materials processing 2016 Vol. 10 pp. -
283
reiter2016frontiersrisk

Abstract

Addiction shows familial aggregation and previous endophenotype research suggests that healthy relatives of addicted individuals share altered behavioral and cognitive characteristics with individuals suffering from addiction. In this study we asked whether impairments in behavioral control proposed for addiction, namely a shift from goal-directed, model-based toward habitual model-free control, extends toward an unaffected sample (n=20) of adult children of alcohol-dependent fathers as compared to a sample without any personal or family history of alcohol addiction (n=17). Using a sequential decision-making task designed to investigate model-free and model-based control combined with a computational modeling analysis, we did not find any evidence for altered behavioral control in individuals with positive family history of alcohol addiction. Independent of family history of alcohol dependence, we however observed that the interaction of two different risk factors of addiction, namely impulsivity and cognitive capacities, predicts the balance of model-free and model-based behavioral control. Post-hoc tests showed an association of model-based behavior with cognitive capacity in the lower, but not in the higher impulsive group of the original sample. In an independent sample of particularly high vs. low impulsive individuals, we confirmed the interaction effect of cognitive capacities and high vs. low impulsivity on model-based control. In the confirmation sample, a positive association of omega with cognitive capacity was observed in high-impulsive individuals. Due to the moderate sample size of the study, further investigation of the association of risk factors for addiction with model-based behavior in larger sample sizes is warranted.

Citation

ID: 252788
Ref Key: reiter2016frontiersrisk
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
252788
Unique Identifier:
10.3389/fnbeh.2016.00026
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