Reinforcement magnitudes modulate subthalamic beta band activity in patients with Parkinson’s disease

Reinforcement magnitudes modulate subthalamic beta band activity in patients with Parkinson’s disease
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强化幅度调节帕金森病患者的丘脑底β带活动

DOI:
10.1038/s41598-018-26887-3
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发表时间:
2018
期刊:
影响因子:
4.6
通讯作者:
Kühn AA
Kühn AA
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Schroll H;Horn A;Runge J;Lipp A;Schneider GH;Krauss JK;Hamker FH;Kühn AA

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我们着手研究人类基底神经节中的β振荡是否在强化学习过程中受到调制。基于先前的研究,我们假设β活动可能反映个体接受强化的程度(强化假设),他们的强化预测错误(多巴胺假设)或他们基于强化的重复与适应反应的倾向(现状假设)。我们通过记录19名帕金森病患者的丘脑底核的局部场电位(LFPs)来测试这些假设。然后,我们将患者的强化幅度,强化预测错误和反应重复倾向与任务相关的功率变化在他们的LFP振荡。在反馈演示过程中,在14至27 Hz(β谱)的频率范围内的活动与强化幅度呈正相关。在反应过程中,α和低β活性(6至18 Hz)与先前的强化幅度呈负相关。强化预测错误和反应重复倾向与LFP振荡没有显着相关。这些结果表明,强化学习过程中的α和β振荡反映了患者观察到的强化幅度,而不是他们的强化预测错误或他们重复与调整反应的倾向,这既反对阶段性多巴胺的参与,也反对现状理论的适用性。
We set out to investigate whether beta oscillations in the human basal ganglia are modulated during reinforcement learning. Based on previous research, we assumed that beta activity might either reflect the magnitudes of individuals’ received reinforcements (reinforcement hypothesis), their reinforcement prediction errors (dopamine hypothesis) or their tendencies to repeat versus adapt responses based upon reinforcements (status-quo hypothesis). We tested these hypotheses by recording local field potentials (LFPs) from the subthalamic nuclei of 19 Parkinson’s disease patients engaged in a reinforcement-learning paradigm. We then correlated patients’ reinforcement magnitudes, reinforcement prediction errors and response repetition tendencies with task-related power changes in their LFP oscillations. During feedback presentation, activity in the frequency range of 14 to 27 Hz (beta spectrum) correlated positively with reinforcement magnitudes. During responding, alpha and low beta activity (6 to 18 Hz) was negatively correlated withpreviousreinforcement magnitudes. Reinforcement prediction errors and response repetition tendencies did not correlate significantly with LFP oscillations. These results suggest that alpha and beta oscillations during reinforcement learning reflect patients’ observed reinforcement magnitudes, rather than their reinforcement prediction errors or their tendencies to repeat versus adapt their responses, arguing both against an involvement of phasic dopamine and against applicability of the status-quo theory.
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