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神经影像学对感觉运动时间的元认知改善的特征。

Neuroimaging Signatures of Metacognitive Improvement in Sensorimotor Timing.

机构信息

Department of Psychology, George Mason University, Fairfax, Virginia, 22030.

Department of Psychology, George Mason University, Fairfax, Virginia, 22030

出版信息

J Neurosci. 2024 Feb 28;44(9):e1789222023. doi: 10.1523/JNEUROSCI.1789-22.2023.

DOI:10.1523/JNEUROSCI.1789-22.2023
PMID:38129131
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10904090/
Abstract

Error monitoring is an essential human ability underlying learning and metacognition. In the time domain, humans possess a remarkable ability to learn and adapt to temporal intervals, yet the neural mechanisms underlying this are not clear. Recently, we demonstrated that humans improve sensorimotor time estimates when given the chance to incorporate previous trial feedback ( Bader and Wiener, 2021), suggesting that humans are metacognitively aware of their own timing errors. To test the neural basis of this metacognitive ability, human participants of both sexes underwent fMRI while they performed a visual temporal reproduction task with randomized supra-second intervals (1.5-6 s). Crucially, each trial was repeated following feedback, allowing a "re-do" to learn from the successes or errors in the initial trial. Behaviorally, we replicated our previous finding of improved re-do trial performance despite temporally uninformative (i.e., early or late) feedback. For neuroimaging, we observed a dissociation between estimating and reproducing time intervals. Estimation engaged the default mode network (DMN), including the superior frontal gyri, precuneus, and posterior cingulate, whereas reproduction activated regions associated traditionally with the "timing network" (TN), including the supplementary motor area (SMA), precentral gyrus, and right supramarginal gyrus. Notably, greater and more extensive DMN involvement was observed in re-do trials, whereas for the TN, it was more constrained. Task-based connectivity between these networks demonstrated higher inter-network correlation primarily when estimating initial trials, while re-do trial communication was higher during reproduction. Overall, these results suggest that the DMN and TN jointly mediate subjective self-awareness to improve timing performance.

摘要

错误监控是人类学习和元认知的基本能力。在时域上,人类具有学习和适应时间间隔的非凡能力,但这背后的神经机制尚不清楚。最近,我们证明了人类在有机会整合先前试验反馈时,可以提高感觉运动时间估计(Bader 和 Wiener,2021),这表明人类对自己的时间误差具有元认知意识。为了测试这种元认知能力的神经基础,我们让男女两性的人类参与者在执行具有随机超秒间隔(1.5-6 秒)的视觉时间复制任务时接受 fMRI 扫描。至关重要的是,每次试验都在反馈后重复,允许“重新做”从初始试验的成功或错误中学习。在行为上,我们复制了我们之前的发现,即尽管反馈在时间上没有信息(即,早或晚),但重新做试验的表现得到了改善。对于神经影像学,我们观察到估计和复制时间间隔之间的分离。估计涉及默认模式网络(DMN),包括额上回、楔前叶和后扣带回,而复制则激活了与传统上与“定时网络”(TN)相关的区域,包括辅助运动区(SMA)、中央前回和右侧缘上回。值得注意的是,在重新做试验中观察到 DMN 的参与程度更大且更广泛,而对于 TN 则更为受限。这些网络之间的基于任务的连接表明,在估计初始试验时,网络之间的相关性更高,而在复制试验时,重新做试验的通讯更高。总体而言,这些结果表明,DMN 和 TN 共同介导了主观自我意识,以提高定时性能。

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