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Investigating associations of delay discounting with brain structure, working memory, and episodic memory
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A, Stockholm, Sweden.
Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, 10-12 Russell Square, London, United Kingdom.
Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Tomtebodavägen 18A, Stockholm, Sweden.
Umeå University, Faculty of Medicine, Department of Radiation Sciences. Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI). Umeå University, Faculty of Medicine, Department of Integrative Medical Biology (IMB).ORCID iD: 0000-0002-3367-1746
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2023 (English)In: Cerebral Cortex, ISSN 1047-3211, E-ISSN 1460-2199, Vol. 33, no 5, p. 1669-1678Article in journal (Refereed) Published
Abstract [en]

Introduction: Delay discounting (DD), the preference for smaller and sooner rewards over larger and later ones, is an important behavioural phenomenon for daily functioning of increasing interest within psychopathology. The neurobiological mechanisms behind DD are not well understood and the literature on structural correlates of DD shows inconsistencies.

Methods: Here we leveraged a large openly available dataset (n = 1196) to investigate associations with memory performance and gray and white matter correlates of DD using linked independent component analysis.

Results: Greater DD was related to smaller anterior temporal gray matter volume. Associations of DD with total cortical volume, subcortical volumes, markers of white matter microscopic organization, working memory, and episodic memory scores were not significant after controlling for education and income.

Conclusion: Effects of size comparable to the one we identified would be unlikely to be replicated with sample sizes common in many previous studies in this domain, which may explain the incongruities in the literature. The paucity and small size of the effects detected in our data underscore the importance of using large samples together with methods that accommodate their statistical structure and appropriate control for confounders, as well as the need to devise paradigms with improved task parameter reliability in studies relating brain structure and cognitive abilities with DD.

Place, publisher, year, edition, pages
Oxford University Press, 2023. Vol. 33, no 5, p. 1669-1678
Keywords [en]
brain structure, delay discounting, intertemporal choices, magnetic resonance imaging, structural networks
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:umu:diva-212547DOI: 10.1093/cercor/bhac164ISI: 000788828600001PubMedID: 35488441Scopus ID: 2-s2.0-85165619816OAI: oai:DiVA.org:umu-212547DiVA, id: diva2:1786387
Available from: 2023-08-08 Created: 2023-08-08 Last updated: 2023-08-08Bibliographically approved

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Nyberg, Lars

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Department of Radiation SciencesUmeå Centre for Functional Brain Imaging (UFBI)Department of Integrative Medical Biology (IMB)
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