Literature DB >> 32484215

Corticostriatal White Matter Integrity and Dopamine D1 Receptor Availability Predict Age Differences in Prefrontal Value Signaling during Reward Learning.

Lieke de Boer1, Benjamín Garzón1, Jan Axelsson2,3, Katrine Riklund2,3, Lars Nyberg2,3,4, Lars Bäckman1, Marc Guitart-Masip1,5.   

Abstract

Probabilistic reward learning reflects the ability to adapt choices based on probabilistic feedback. The dopaminergically innervated corticostriatal circuit in the brain plays an important role in supporting successful probabilistic reward learning. Several components of the corticostriatal circuit deteriorate with age, as it does probabilistic reward learning. We showed previously that D1 receptor availability in NAcc predicts the strength of anticipatory value signaling in vmPFC, a neural correlate of probabilistic learning that is attenuated in older participants and predicts probabilistic reward learning performance. We investigated how white matter integrity in the pathway between nucleus accumbens (NAcc) and ventromedial prefrontal cortex (vmPFC) relates to the strength of anticipatory value signaling in vmPFC in younger and older participants. We found that in a sample of 22 old and 23 young participants, fractional anisotropy in the pathway between NAcc and vmPFC predicted the strength of value signaling in vmPFC independently from D1 receptor availability in NAcc. These findings provide tentative evidence that integrity in the dopaminergic and white matter pathways of corticostriatal circuitry supports the expression of value signaling in vmPFC which supports reward learning, however, the limited sample size calls for independent replication. These and future findings could add to the improved understanding of how corticostriatal integrity contributes to reward learning ability.
© The Author(s) 2020. Published by Oxford University Press.

Entities:  

Keywords:  aging; corticostriatal loops; dopamine; value-based decision making; white matter integrity

Mesh:

Substances:

Year:  2020        PMID: 32484215      PMCID: PMC7472214          DOI: 10.1093/cercor/bhaa104

Source DB:  PubMed          Journal:  Cereb Cortex        ISSN: 1047-3211            Impact factor:   5.357


  55 in total

Review 1.  Decision making in the ageing brain: changes in affective and motivational circuits.

Authors:  Gregory R Samanez-Larkin; Brian Knutson
Journal:  Nat Rev Neurosci       Date:  2015-04-15       Impact factor: 34.870

Review 2.  The computational neurobiology of learning and reward.

Authors:  Nathaniel D Daw; Kenji Doya
Journal:  Curr Opin Neurobiol       Date:  2006-03-24       Impact factor: 6.627

3.  Dopamine D1 receptor associations within and between dopaminergic pathways in younger and elderly adults: links to cognitive performance.

Authors:  Anna Rieckmann; Sari Karlsson; Per Karlsson; Yvonne Brehmer; Håkan Fischer; Lars Farde; Lars Nyberg; Lars Bäckman
Journal:  Cereb Cortex       Date:  2011-01-21       Impact factor: 5.357

4.  Frontostriatal anatomical connections predict age- and difficulty-related differences in reinforcement learning.

Authors:  Irene van de Vijver; K Richard Ridderinkhof; Helga Harsay; Liesbeth Reneman; James F Cavanagh; Jessika I V Buitenweg; Michael X Cohen
Journal:  Neurobiol Aging       Date:  2016-06-17       Impact factor: 4.673

5.  Attenuation of dopamine-modulated prefrontal value signals underlies probabilistic reward learning deficits in old age.

Authors:  Lieke de Boer; Jan Axelsson; Katrine Riklund; Lars Nyberg; Peter Dayan; Lars Bäckman; Marc Guitart-Masip
Journal:  Elife       Date:  2017-09-05       Impact factor: 8.140

Review 6.  The neural network underlying incentive-based learning: implications for interpreting circuit disruptions in psychiatric disorders.

Authors:  Suzanne N Haber; Timothy E J Behrens
Journal:  Neuron       Date:  2014-09-03       Impact factor: 17.173

7.  The valuation system: a coordinate-based meta-analysis of BOLD fMRI experiments examining neural correlates of subjective value.

Authors:  Oscar Bartra; Joseph T McGuire; Joseph W Kable
Journal:  Neuroimage       Date:  2013-03-15       Impact factor: 6.556

8.  Dopamine and performance in a reinforcement learning task: evidence from Parkinson's disease.

Authors:  Tamara Shiner; Ben Seymour; Klaus Wunderlich; Ciaran Hill; Kailash P Bhatia; Peter Dayan; Raymond J Dolan
Journal:  Brain       Date:  2012-04-15       Impact factor: 13.501

9.  Adult age differences in frontostriatal representation of prediction error but not reward outcome.

Authors:  Gregory R Samanez-Larkin; Darrell A Worthy; Rui Mata; Samuel M McClure; Brian Knutson
Journal:  Cogn Affect Behav Neurosci       Date:  2014-06       Impact factor: 3.282

Review 10.  Corticostriatal circuitry.

Authors:  Suzanne N Haber
Journal:  Dialogues Clin Neurosci       Date:  2016-03       Impact factor: 5.986

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