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亚临床抑郁对前额叶-纹状体基于模型和无模型学习的影响。

Effects of subclinical depression on prefrontal-striatal model-based and model-free learning.

机构信息

Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Brain and Cognitive Engineering Program, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

出版信息

PLoS Comput Biol. 2021 May 14;17(5):e1009003. doi: 10.1371/journal.pcbi.1009003. eCollection 2021 May.

DOI:10.1371/journal.pcbi.1009003
PMID:33989284
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8153417/
Abstract

Depression is characterized by deficits in the reinforcement learning (RL) process. Although many computational and neural studies have extended our knowledge of the impact of depression on RL, most focus on habitual control (model-free RL), yielding a relatively poor understanding of goal-directed control (model-based RL) and arbitration control to find a balance between the two. We investigated the effects of subclinical depression on model-based and model-free learning in the prefrontal-striatal circuitry. First, we found that subclinical depression is associated with the attenuated state and reward prediction error representation in the insula and caudate. Critically, we found that it accompanies the disrupted arbitration control between model-based and model-free learning in the predominantly inferior lateral prefrontal cortex and frontopolar cortex. We also found that depression undermines the ability to exploit viable options, called exploitation sensitivity. These findings characterize how subclinical depression influences different levels of the decision-making hierarchy, advancing previous conflicting views that depression simply influences either habitual or goal-directed control. Our study creates possibilities for various clinical applications, such as early diagnosis and behavioral therapy design.

摘要

抑郁症的特征是强化学习(RL)过程中出现缺陷。尽管许多计算和神经科学研究扩展了我们对抑郁症对 RL 影响的认识,但大多数研究都集中在习惯控制(无模型 RL)上,因此对目标导向控制(基于模型的 RL)和仲裁控制的理解相对较差,以在两者之间找到平衡。我们研究了亚临床抑郁症对前额叶-纹状体回路中基于模型和无模型学习的影响。首先,我们发现亚临床抑郁症与岛叶和尾状核中的衰减状态和奖励预测误差表示有关。至关重要的是,我们发现它伴随着主要在下外侧前额叶皮层和额极皮层中基于模型和无模型学习之间的仲裁控制的破坏。我们还发现,抑郁症削弱了利用可行选项的能力,称为利用敏感性。这些发现描述了亚临床抑郁症如何影响决策层次的不同级别,推进了先前相互矛盾的观点,即抑郁症只是简单地影响习惯或目标导向控制。我们的研究为各种临床应用创造了可能性,例如早期诊断和行为治疗设计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/926e12c7e18e/pcbi.1009003.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/a2bf89a3439d/pcbi.1009003.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/5274822cc537/pcbi.1009003.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/0c34fec410c2/pcbi.1009003.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/307d88f21246/pcbi.1009003.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/c25dbf9f3daf/pcbi.1009003.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/1c43a7659e9d/pcbi.1009003.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/926e12c7e18e/pcbi.1009003.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/a2bf89a3439d/pcbi.1009003.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/292fcffb80e1/pcbi.1009003.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/5274822cc537/pcbi.1009003.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/0c34fec410c2/pcbi.1009003.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/307d88f21246/pcbi.1009003.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/c25dbf9f3daf/pcbi.1009003.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/1c43a7659e9d/pcbi.1009003.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef61/8153417/926e12c7e18e/pcbi.1009003.g008.jpg

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Sci Robot. 2019 Jul 17;4(32). doi: 10.1126/scirobotics.aax2198.
2
Humans primarily use model-based inference in the two-stage task.人类主要在两阶段任务中使用基于模型的推理。
Nat Hum Behav. 2020 Oct;4(10):1053-1066. doi: 10.1038/s41562-020-0905-y. Epub 2020 Jul 6.
3
Task complexity interacts with state-space uncertainty in the arbitration between model-based and model-free learning.任务复杂性与状态空间不确定性相互作用,影响基于模型和无模型学习之间的仲裁。
基于目标导向网络的实时功能磁共振成像神经反馈治疗快感缺失性抑郁症的可行性研究。
Front Psychiatry. 2023 Dec 5;14:1253727. doi: 10.3389/fpsyt.2023.1253727. eCollection 2023.
4
Impairment of arbitration between model-based and model-free reinforcement learning in obsessive-compulsive disorder.强迫症中基于模型和无模型强化学习之间的仲裁受损。
Front Psychiatry. 2023 May 26;14:1162800. doi: 10.3389/fpsyt.2023.1162800. eCollection 2023.
Nat Commun. 2019 Dec 16;10(1):5738. doi: 10.1038/s41467-019-13632-1.
4
Generalization guides human exploration in vast decision spaces.泛化指导人类在广阔的决策空间中进行探索。
Nat Hum Behav. 2018 Dec;2(12):915-924. doi: 10.1038/s41562-018-0467-4. Epub 2018 Nov 12.
5
Connectome analysis of functional and structural hemispheric brain networks in major depressive disorder.重度抑郁症功能性和结构性大脑半球网络的连接组学分析。
Transl Psychiatry. 2019 Apr 12;9(1):136. doi: 10.1038/s41398-019-0467-9.
6
Prioritized memory access explains planning and hippocampal replay.优先化的记忆访问解释了规划和海马体重放。
Nat Neurosci. 2018 Nov;21(11):1609-1617. doi: 10.1038/s41593-018-0232-z. Epub 2018 Oct 22.
7
Inhibitory and excitatory mechanisms in the human cingulate-cortex support reinforcement learning: A functional Proton Magnetic Resonance Spectroscopy study.人类扣带皮层中的抑制和兴奋机制支持强化学习:一项功能质子磁共振波谱研究。
Neuroimage. 2019 Jan 1;184:25-35. doi: 10.1016/j.neuroimage.2018.09.016. Epub 2018 Sep 7.
8
Neural Basis of Depression Related to a Dominant Right Hemisphere: A Resting-State fMRI Study.与右半球优势相关的抑郁症的神经基础:一项静息态功能磁共振成像研究。
Behav Neurol. 2018 Jun 5;2018:5024520. doi: 10.1155/2018/5024520. eCollection 2018.
9
Causal role of the inferolateral prefrontal cortex in balancing goal-directed and habitual control of behavior.内侧前额叶皮层在平衡目标导向和习惯控制行为中的因果作用。
Sci Rep. 2018 Jun 20;8(1):9382. doi: 10.1038/s41598-018-27678-6.
10
Impaired reward prediction error encoding and striatal-midbrain connectivity in depression.抑郁症患者的奖励预测误差编码和纹状体-中脑连接受损。
Neuropsychopharmacology. 2018 Jun;43(7):1581-1588. doi: 10.1038/s41386-018-0032-x. Epub 2018 Feb 26.