Neuromodulation of reward-based learning and decision making in human aging

被引:146
|
作者
Eppinger, Ben [1 ]
Haemmerer, Dorothea [1 ]
Li, Shu-Chen [1 ]
机构
[1] Max Planck Inst Human Dev, Ctr Lifespan Psychol, D-14195 Berlin, Germany
来源
关键词
aging; neuromodulation; motivation; cognitive control; AGE-RELATED DECLINE; HUMAN BRAIN; SEROTONIN TRANSPORTERS; PARKINSONS-DISEASE; DOPAMINE TRANSPORTERS; RECEPTOR AVAILABILITY; MIDBRAIN PROJECTIONS; NUCLEUS-ACCUMBENS; NEGATIVE FEEDBACK; NEURAL MECHANISMS;
D O I
10.1111/j.1749-6632.2011.06230.x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, we review the current literature to highlight relations between age-associated declines in dopaminergic and serotonergic neuromodulation and adult age differences in adaptive goal-directed behavior. Specifically, we focus on evidence suggesting that deficits in neuromodulation contribute to older adults' behavioral disadvantages in learning and decision making. These deficits are particularly pronounced when reward information is uncertain or the task context requires flexible adaptations to changing stimulus reward contingencies. Moreover, emerging evidence points to age-related differences in the sensitivity to rewarding and aversive outcomes during learning and decision making if the acquisition of behavior critically depends on outcome processing. These age-related asymmetries in outcome valuation may be explained by age differences in the interplay of dopaminergic and serotonergic neuromodulation. This hypothesis is based on recent neurocomputational and psychopharmacological approaches, which suggest that dopamine and serotonin serve opponent roles in regulating the balance between approach behavior and inhibitory control. Studying adaptive regulation of behavior across the adult life span may shed new light on how the aging brain changes functionally in response to its diminishing resources.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 50 条
  • [21] Implicit reward-based motor learning
    Nina M. van Mastrigt
    Jonathan S. Tsay
    Tianhe Wang
    Guy Avraham
    Sabrina J. Abram
    Katinka van der Kooij
    Jeroen B. J. Smeets
    Richard B. Ivry
    [J]. Experimental Brain Research, 2023, 241 : 2287 - 2298
  • [22] Computational Insights into Reward-Based Learning
    O'Reilly, Randall C.
    [J]. BIOLOGICAL PSYCHIATRY, 2012, 71 (08) : 217S - 217S
  • [23] From avoidance to approach: The influence of threat-of-shock on reward-based decision making
    Bublatzky, Florian
    Alpers, Georg W.
    Pittig, Andre
    [J]. BEHAVIOUR RESEARCH AND THERAPY, 2017, 96 : 47 - 56
  • [24] Dopamine neurons encode teaching signals for learning reward-based decision strategy
    Satoh, T
    Matsumoto, N
    Nakai, S
    Satoh, T
    Minamimoto, T
    Kimura, M
    [J]. COGNITION AND EMOTION IN THE BRAIN, 2003, 1250 : 311 - 318
  • [25] Altered function of ventral striatum during reward-based decision making in old age
    Mell, Thomas
    Wartenburger, Isabell
    Marschner, Alexander
    Villringer, Arno
    Reischies, Friedel M.
    Heekeren, Hauke R.
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2009, 3
  • [26] Brain areas activated by uncertain reward-based decision-making in healthy volunteers
    Guo, Zongjun
    Chen, Juan
    Liu, Shien
    Li, Yuhuan
    Sun, Bo
    Gao, Zhenbo
    [J]. NEURAL REGENERATION RESEARCH, 2013, 8 (35) : 3344 - 3352
  • [27] Brain areas activated by uncertain reward-based decision-making in healthy volunteers
    Zongjun Guo
    Juan Chen
    Shien Liu
    Yuhuan Li
    Bo Sun
    Zhenbo Gao
    [J]. Neural Regeneration Research, 2013, 8 (35) : 3344 - 3352
  • [28] Influences of sleep, cortisol reactivity, and risk/reward-based decision-making on suicide
    Law, Keyne C.
    O'Connell, Katherine L.
    Jacobson, Samantha, V
    Baer, Margaret M.
    Baker, Phillip M.
    Tull, Matthew T.
    [J]. JOURNAL OF BEHAVIOR THERAPY AND EXPERIMENTAL PSYCHIATRY, 2024, 85
  • [29] Effects of Depressive Symptoms, Feelings, and Interoception on Reward-Based Decision-Making: Investigation Using Reinforcement Learning Model
    Ogishima, Hiroyoshi
    Maeda, Shunta
    Tanaka, Yuki
    Shimada, Hironori
    [J]. BRAIN SCIENCES, 2020, 10 (08) : 1 - 15
  • [30] Learning, Reward, and Decision Making
    O'Doherty, John P.
    Cockburn, Jeffrey
    Pauli, Wolfgang M.
    [J]. ANNUAL REVIEW OF PSYCHOLOGY, VOL 68, 2017, 68 : 73 - 100