Day-to-day fluctuations in motivation drive effort-based decision-making

被引:0
作者
Hewitt, Samuel R. C. [1 ,2 ]
Norbury, Agnes [3 ,4 ]
Huys, Quentin J. M. [3 ,4 ]
Hauser, Tobias U. [1 ,2 ,5 ,6 ]
机构
[1] UCL, Queen Sq Inst Neurol, Max Planck UCL Ctr Computat Psychiat & Ageing Res, London WC1B 5EH, England
[2] UCL, Dept Imaging Neurosci, Funct Imaging Lab, London WC1N 3AR, England
[3] UCL, Queen Sq Inst Neurol, Mental Hlth Neurosci Dept, Div Psychiat,Appl Computat Psychiat Lab, London W1T 7NF, England
[4] UCL, Queen Sq Inst Neurol, Max Planck UCL Ctr Computat Psychiat & Ageing Res, London W1T 7NF, England
[5] Univ Tubingen, Fac Med, Dept Psychiat & Psychotherapy, D-72076 Tubingen, Germany
[6] German Ctr Mental Hlth DZPG, Project Site Tubingen, D-72076 Tubingen, Germany
基金
英国医学研究理事会; 英国惠康基金;
关键词
decision-making; reward; effort; motivation; longitudinal; MAJOR DEPRESSIVE DISORDER; REWARD; DOPAMINE; APATHY;
D O I
10.1073/pnas.2417964122
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
Internal states like motivation fluctuate substantially over time. However, studies of the neurocomputational mechanims of motivated behavior have failed to capture this. Here, we examined how naturalistic ups and downs in state motivation influence the subjective value of reward and effort. In a microlongitudinal design (N = 155, state timepoints = 3,344, decision-making tasks = 845), we captured fluctuations in state and effort-based decision-making using smartphone-based momentary assessments as people went about their daily lives. We found that both state and trait have independent and multiplicative effects on decision-making. State-behavior coupling was particularly pronounced in individuals with higher trait apathy, meaning that their choices were even more state dependent. Using computational modeling, we demonstrate that state motivation prospectively boosted reward sensitivity, making people more willing to exert effort in future. Our results show that day-to-day fluctuations in state and cognition are tightly linked and critical for understanding fundamental human behaviors and mental ill-health.
引用
收藏
页数:11
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