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Research Article

Transfer of information across repeated decisions in general and in obsessive–compulsive disorder

Alec Solway, Zhen Lin, and Ekansh Vinaik
  1. aDepartment of Psychology, University of Maryland, College Park, MD 20742;
  2. bProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD 20742;
  3. cDepartment of Computer Science, University of Maryland, College Park, MD 20742

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PNAS January 5, 2021 118 (1) e2014271118; https://doi.org/10.1073/pnas.2014271117
Alec Solway
aDepartment of Psychology, University of Maryland, College Park, MD 20742;
bProgram in Neuroscience and Cognitive Science, University of Maryland, College Park, MD 20742;
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Zhen Lin
aDepartment of Psychology, University of Maryland, College Park, MD 20742;
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Ekansh Vinaik
aDepartment of Psychology, University of Maryland, College Park, MD 20742;
cDepartment of Computer Science, University of Maryland, College Park, MD 20742
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  1. Edited by Randall W. Engle, Georgia Institute of Technology, Atlanta, GA, and approved November 12, 2020 (received for review July 7, 2020)

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Significance

Real-life decisions are often repeated. Whether considering taking a new job, or doing something mundane like checking if the stove is off, people frequently revisit decisions. This mode of behavior takes a particularly pathological form in obsessive–compulsive disorder (OCD). Surprisingly, little is known about how information is transferred across decisions, and whether and how such transfer is disrupted in OCD. Data from a repeated decision-making task and computational modeling revealed that different memory systems separately biased repeated decisions toward previous choices by changing how people weigh evidence. Transfer specifically driven by implicit memory was reduced in individuals with higher levels of OCD symptoms on top of other baseline decision-making deficits, offering computational insight into checking behavior.

Abstract

Real-life decisions are often repeated. Whether considering taking a job in a new city, or doing something mundane like checking if the stove is off, decisions are frequently revisited even if no new information is available. This mode of behavior takes a particularly pathological form in obsessive–compulsive disorder (OCD), which is marked by individuals’ redeliberating previously resolved decisions. Surprisingly, little is known about how information is transferred across decision episodes in such circumstances, and whether and how such transfer varies in OCD. In two experiments, data from a repeated decision-making task and computational modeling revealed that both implicit and explicit memories of previous decisions affected subsequent decisions by biasing the rate of evidence integration. Further, we replicated previous work demonstrating impairments in baseline decision-making as a function of self-reported OCD symptoms, and found that information transfer effects specifically due to implicit memory were reduced, offering computational insight into checking behavior.

  • decision-making
  • obsessive–compulsive disorder
  • drift diffusion model

Footnotes

  • ↵1To whom correspondence may be addressed. Email: asolway@umd.edu.
  • Author contributions: A.S., Z.L., and E.V. designed research; A.S. and Z.L. performed research; A.S. analyzed data; and A.S. wrote the paper.

  • The authors declare no competing interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2014271117/-/DCSupplemental.

Data Availability.

Behavioral data have been deposited on the Open Science Framework (OSF), https://osf.io/7f542/.

Published under the PNAS license.

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Transfer of information across repeated decisions in general and in obsessive–compulsive disorder
Alec Solway, Zhen Lin, Ekansh Vinaik
Proceedings of the National Academy of Sciences Jan 2021, 118 (1) e2014271118; DOI: 10.1073/pnas.2014271117

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Transfer of information across repeated decisions in general and in obsessive–compulsive disorder
Alec Solway, Zhen Lin, Ekansh Vinaik
Proceedings of the National Academy of Sciences Jan 2021, 118 (1) e2014271118; DOI: 10.1073/pnas.2014271117
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