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在动机学习偏差中,前额叶信号先于纹状体信号,以便进行有偏差的信用分配。

Prefrontal signals precede striatal signals for biased credit assignment in motivational learning biases.

机构信息

Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, The Netherlands.

Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany.

出版信息

Nat Commun. 2024 Jan 2;15(1):19. doi: 10.1038/s41467-023-44632-x.

DOI:10.1038/s41467-023-44632-x
PMID:38168089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10762147/
Abstract

Actions are biased by the outcomes they can produce: Humans are more likely to show action under reward prospect, but hold back under punishment prospect. Such motivational biases derive not only from biased response selection, but also from biased learning: humans tend to attribute rewards to their own actions, but are reluctant to attribute punishments to having held back. The neural origin of these biases is unclear. Specifically, it remains open whether motivational biases arise primarily from the architecture of subcortical regions or also reflect cortical influences, the latter being typically associated with increased behavioral flexibility and control beyond stereotyped behaviors. Simultaneous EEG-fMRI allowed us to track which regions encoded biased prediction errors in which order. Biased prediction errors occurred in cortical regions (dorsal anterior and posterior cingulate cortices) before subcortical regions (striatum). These results highlight that biased learning is not a mere feature of the basal ganglia, but arises through prefrontal cortical contributions, revealing motivational biases to be a potentially flexible, sophisticated mechanism.

摘要

行为会受到其结果的影响

人类在有奖励预期的情况下更倾向于采取行动,但在有惩罚预期的情况下则会退缩。这种动机偏差不仅源于有偏差的反应选择,还源于有偏差的学习:人类倾向于将奖励归因于自己的行为,但不愿意将惩罚归因于自己的退缩。这些偏差的神经起源尚不清楚。具体来说,动机偏差主要是由皮质下区域的结构引起的,还是也反映了皮质的影响,后者通常与刻板行为之外的行为灵活性和控制的增加有关,仍存在争议。同时进行的 EEG-fMRI 使我们能够追踪哪些区域按顺序编码有偏差的预测误差。有偏差的预测误差先出现在皮质区域(背侧前扣带和后扣带皮质),然后才出现在皮质下区域(纹状体)。这些结果表明,有偏差的学习不仅仅是基底神经节的一个特征,而是通过前额叶皮质的贡献产生的,这揭示了动机偏差是一种潜在的灵活、复杂的机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/432412e02a3d/41467_2023_44632_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/194ba23b6071/41467_2023_44632_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/09d7ff988c38/41467_2023_44632_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/46ce3e2d3d1e/41467_2023_44632_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/d4f502e11e9d/41467_2023_44632_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/395c35354997/41467_2023_44632_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/432412e02a3d/41467_2023_44632_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/194ba23b6071/41467_2023_44632_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/09d7ff988c38/41467_2023_44632_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/46ce3e2d3d1e/41467_2023_44632_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/d4f502e11e9d/41467_2023_44632_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/395c35354997/41467_2023_44632_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ba39/10762147/432412e02a3d/41467_2023_44632_Fig6_HTML.jpg

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2
Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment.波状多巴胺动力学作为时空信用分配的机制。
Cell. 2021 May 13;184(10):2733-2749.e16. doi: 10.1016/j.cell.2021.03.046. Epub 2021 Apr 15.
3
Effects of dopamine on reinforcement learning in Parkinson's disease depend on motor phenotype.多巴胺对帕金森病强化学习的影响取决于运动表型。
前额叶皮质神经回路在维持社会稳态中的作用。
Biol Psychiatry. 2025 May 15;97(10):953-960. doi: 10.1016/j.biopsych.2024.07.007. Epub 2024 Jul 15.
Brain. 2020 Dec 5;143(11):3422-3434. doi: 10.1093/brain/awaa335.
4
Polarity of uncertainty representation during exploration and exploitation in ventromedial prefrontal cortex.腹内侧前额叶皮层在探索与开发过程中不确定性表示的极性。
Nat Hum Behav. 2021 Jan;5(1):83-98. doi: 10.1038/s41562-020-0929-3. Epub 2020 Aug 31.
5
Neural mechanisms resolving exploitation-exploration dilemmas in the medial prefrontal cortex.内侧前额叶皮层中解决利用-探索困境的神经机制。
Science. 2020 Aug 28;369(6507). doi: 10.1126/science.abb0184.
6
Stable and dynamic representations of value in the prefrontal cortex.前额叶皮层中价值的稳定和动态表现。
Elife. 2020 Jul 6;9:e54313. doi: 10.7554/eLife.54313.
7
Striatal Beta Oscillation and Neuronal Activity in the Primate Caudate Nucleus Differentially Represent Valence and Arousal Under Approach-Avoidance Conflict.在灵长类动物尾状核中,纹状体β振荡和神经元活动在趋近-回避冲突下对效价和觉醒的表征存在差异。
Front Neurosci. 2020 Feb 7;14:89. doi: 10.3389/fnins.2020.00089. eCollection 2020.
8
Causal Role of Motor Preparation during Error-Driven Learning.错误驱动学习中运动准备的因果作用。
Neuron. 2020 Apr 22;106(2):329-339.e4. doi: 10.1016/j.neuron.2020.01.019. Epub 2020 Feb 12.
9
Targeted Stimulation of Human Orbitofrontal Networks Disrupts Outcome-Guided Behavior.靶向刺激人类眶额网络会破坏结果导向行为。
Curr Biol. 2020 Feb 3;30(3):490-498.e4. doi: 10.1016/j.cub.2019.12.007. Epub 2020 Jan 16.
10
Computational noise in reward-guided learning drives behavioral variability in volatile environments.奖励导向学习中的计算噪声驱动易变环境中的行为可变性。
Nat Neurosci. 2019 Dec;22(12):2066-2077. doi: 10.1038/s41593-019-0518-9. Epub 2019 Oct 28.