Noradrenergic and Dopaminergic modulation of meta-cognition and meta-control.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS PLoS Computational Biology Pub Date : 2025-02-26 eCollection Date: 2025-02-01 DOI:10.1371/journal.pcbi.1012675
Sara Ershadmanesh, Sahar Rajabi, Reza Rostami, Rani Moran, Peter Dayan
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Abstract

Humans and animals use multiple control systems for decision-making. This involvement is subject to meta-cognitive regulation - as a form of control over control or meta-control. However, the nature of this meta-control is unclear. For instance, Model-based (MB) control may be boosted when decision-makers generally lack confidence as it is more statistically efficient; or it may be suppressed, since the MB controller can correctly assess its own unreliability. Since control and metacontrol are themselves subject to the influence of neuromodulators, we examined the effects of perturbing the noradrenergic (NE) and dopaminergic (DA) systems with propranolol and L-DOPA, respectively. We first administered a simple perceptual task to examine the effects of the manipulations on meta-cognitive ability. Using Bayesian analyses, we found that 81% of group M-ratio samples were lower under propranolol relative to placebo, suggesting a decrease of meta-cognitive ability; and 60% of group M-ratio samples were higher under L-DOPA relative to placebo, considered as no effect of L-DOPA on meta-cognitive ability . We then asked subjects to provide choices and confidence ratings in a two-outcome decision-making task that has been used to dissociate Model-free (MF) and MB control. MB behavior was enhanced by propranolol, while MF behavior was not significantly affected by either drug. The interaction between confidence and MF/MB behavior was highly variable under propranolol, but under L-DOPA, the interaction was significantly lower/higher relative to placebo. Our results suggest a decrease in metacognitive ability under the influence of propranolol and an enhancement of MB behavior and meta-control under the influence of propranolol and L-DOPA, respectively. These findings shed light on the role of NE and DA in different aspects of control and meta-control and suggest potential avenues for mitigating dysfunction.

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元认知和元控制的去甲肾上腺素能和多巴胺能调节。
人类和动物使用多种控制系统进行决策。这种参与受制于元认知调节——作为控制或元控制的一种形式。然而,这种元控制的性质尚不清楚。例如,当决策者普遍缺乏信心时,基于模型(MB)的控制可能会得到加强,因为它在统计上更有效;或者它可能被抑制,因为MB控制器可以正确地评估其自身的不可靠性。由于控制和元控制本身受到神经调节剂的影响,我们分别研究了用心得安和左旋多巴干扰去甲肾上腺素能系统和多巴胺能系统的影响。我们首先进行了一个简单的感知任务,以检查操作对元认知能力的影响。使用贝叶斯分析,我们发现81%的组m比率样本在心得安下比安慰剂低,表明元认知能力下降;60%的M-ratio组样本在左旋多巴的作用下高于安慰剂,认为左旋多巴对元认知能力没有影响。然后,我们要求受试者在一个用于分离无模型(MF)和MB控制的双结果决策任务中提供选择和信心评级。心得安可增强MB行为,而两种药物对MF行为均无显著影响。普萘洛尔组自信与MF/MB行为的交互作用差异较大,而左旋多巴组自信与MF/MB行为的交互作用显著高于安慰剂组。我们的研究结果表明,心得安影响下的元认知能力下降,心得安和左旋多巴影响下的MB行为和元控制分别增强。这些发现揭示了NE和DA在控制和元控制的不同方面的作用,并提出了减轻功能障碍的潜在途径。
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来源期刊
PLoS Computational Biology
PLoS Computational Biology BIOCHEMICAL RESEARCH METHODS-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
7.10
自引率
4.70%
发文量
820
审稿时长
2.5 months
期刊介绍: PLOS Computational Biology features works of exceptional significance that further our understanding of living systems at all scales—from molecules and cells, to patient populations and ecosystems—through the application of computational methods. Readers include life and computational scientists, who can take the important findings presented here to the next level of discovery. Research articles must be declared as belonging to a relevant section. More information about the sections can be found in the submission guidelines. Research articles should model aspects of biological systems, demonstrate both methodological and scientific novelty, and provide profound new biological insights. Generally, reliability and significance of biological discovery through computation should be validated and enriched by experimental studies. Inclusion of experimental validation is not required for publication, but should be referenced where possible. Inclusion of experimental validation of a modest biological discovery through computation does not render a manuscript suitable for PLOS Computational Biology. Research articles specifically designated as Methods papers should describe outstanding methods of exceptional importance that have been shown, or have the promise to provide new biological insights. The method must already be widely adopted, or have the promise of wide adoption by a broad community of users. Enhancements to existing published methods will only be considered if those enhancements bring exceptional new capabilities.
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