Literature DB >> 18573012

Learning to avoid in older age.

Michael J Frank1, Lauren Kong.   

Abstract

The dopamine hypothesis of aging suggests that a monotonic dopaminergic decline accounts for many of the changes found in cognitive aging. The authors tested 44 older adults with a probabilistic selection task sensitive to dopaminergic function and designed to assess relative biases to learn more from positive or negative feedback. Previous studies demonstrated that low levels of dopamine lead to avoidance of those choices that lead to negative outcomes, whereas high levels of dopamine result in an increased sensitivity to positive outcomes. In the current study, age had a significant effect on the bias to avoid negative outcomes: Older seniors showed an enhanced tendency to learn from negative compared with positive consequences of their decisions. Younger seniors failed to show this negative learning bias. Moreover, the enhanced probabilistic integration of negative outcomes in older seniors was accompanied by a reduction in trial-to-trial learning from positive outcomes, thought to rely on working memory. These findings are consistent with models positing multiple neural mechanisms that support probabilistic integration and trial-to-trial behavior, which may be differentially impacted by older age.

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Year:  2008        PMID: 18573012     DOI: 10.1037/0882-7974.23.2.392

Source DB:  PubMed          Journal:  Psychol Aging        ISSN: 0882-7974


  46 in total

1.  Predictive value and reward in implicit classification learning.

Authors:  Judith M Lam; Tobias Wächter; Christoph Globas; Hans-Otto Karnath; Andreas R Luft
Journal:  Hum Brain Mapp       Date:  2012-03-15       Impact factor: 5.038

2.  Compensatory processing during rule-based category learning in older adults.

Authors:  Krishna L Bharani; Ken A Paller; Paul J Reber; Sandra Weintraub; Jorge Yanar; Robert G Morrison
Journal:  Neuropsychol Dev Cogn B Aging Neuropsychol Cogn       Date:  2015-09-30

Review 3.  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 4.  Age-related variability in decision-making: Insights from neurochemistry.

Authors:  Anne S Berry; William J Jagust; Ming Hsu
Journal:  Cogn Affect Behav Neurosci       Date:  2019-06       Impact factor: 3.282

Review 5.  Aging and the neuroeconomics of decision making: A review.

Authors:  Stephen B R E Brown; K Richard Ridderinkhof
Journal:  Cogn Affect Behav Neurosci       Date:  2009-12       Impact factor: 3.282

6.  Striatum-medial prefrontal cortex connectivity predicts developmental changes in reinforcement learning.

Authors:  Wouter van den Bos; Michael X Cohen; Thorsten Kahnt; Eveline A Crone
Journal:  Cereb Cortex       Date:  2011-08-04       Impact factor: 5.357

7.  Age-Related Decline in Learning Deterministic Judgment-Based Sequences.

Authors:  Layla Dang; Sylvia P Larson; Mark A Gluck; Jessica R Petok
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-04-16       Impact factor: 4.077

8.  Probabilistic reinforcement learning abnormalities and their correlates in adolescent bipolar disorders.

Authors:  Snežana Urošević; Tate Halverson; Eric A Youngstrom; Monica Luciana
Journal:  J Abnorm Psychol       Date:  2018-11

Review 9.  Neurocomputational models of basal ganglia function in learning, memory and choice.

Authors:  Michael X Cohen; Michael J Frank
Journal:  Behav Brain Res       Date:  2008-10-04       Impact factor: 3.332

10.  Better than expected or as bad as you thought? The neurocognitive development of probabilistic feedback processing.

Authors:  Wouter van den Bos; Berna Güroğlu; Bianca G van den Bulk; Serge A R B Rombouts; Eveline A Crone
Journal:  Front Hum Neurosci       Date:  2009-12-01       Impact factor: 3.169

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