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内在神经时程介导自我时间整合的认知偏差,作为关键机制。

Intrinsic neural timescales mediate the cognitive bias of self - temporal integration as key mechanism.

机构信息

School of Psychology, University of Ottawa, 136 Jean-Jacques Lussier, Ottawa, ON K1N 6N5, Canada; Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada.

Mind, Brain Imaging and Neuroethics Unit, Institute of Mental Health Research, Royal Ottawa Mental Health Centre, University of Ottawa, 1145 Carling Avenue, Ottawa, ON K1Z 7K4, Canada.

出版信息

Neuroimage. 2023 Mar;268:119896. doi: 10.1016/j.neuroimage.2023.119896. Epub 2023 Jan 21.

Abstract

Our perceptions and decisions are not always objectively correct as they are featured by a bias related to our self. What are the behavioral, neural, and computational mechanisms of such cognitive bias? Addressing this yet unresolved question, we here investigate whether the cognitive bias is related to temporal integration and segregation as mediated by the brain's Intrinsic neural timescales (INT). Using Signal Detection Theory (SDT), we operationalize the cognitive bias by the Criterion C as distinguished from the sensitivity index d'. This was probed in a self-task based on morphed self- and other faces. Behavioral data demonstrate clear cognitive bias, i.e., Criterion C. That was related to the EEG-based INT as measured by the autocorrelation window (ACW) in especially the transmodal regions dorsolateral prefrontal cortex (dlPFC) and default-mode network (DMN) as distinct from unimodal visual cortex. Finally, simulation of the same paradigm in a large-scale network model shows high degrees of temporal integration of temporally distinct inputs in CMS/DMN and dlPFC while temporal segregation predominates in visual cortex. Together, we demonstrate a key role of INT-based temporal integration in CMS/DMN and dlPFC including its relation to the brain's uni-transmodal topographical organization in mediating the cognitive bias of our self.

摘要

我们的感知和决策并不总是客观正确的,因为它们具有与自我相关的偏见。这种认知偏差的行为、神经和计算机制是什么?为了解决这个尚未解决的问题,我们在这里研究认知偏差是否与时间整合和分离有关,这是由大脑的内在神经时间尺度(INT)介导的。我们使用信号检测理论(SDT),通过与敏感指数 d'不同的标准 C 来操作认知偏差。这是通过基于变形的自我和他人面孔的自我任务来探测的。行为数据表明存在明显的认知偏差,即标准 C。这与基于 EEG 的 INT 有关,INT 是通过自相关窗口(ACW)测量的,特别是在背外侧前额叶皮层(dlPFC)和默认模式网络(DMN)的跨模态区域,而不是在单模态视觉皮层中。最后,在一个大规模网络模型中模拟相同的范式表明,在 CMS/DMN 和 dlPFC 中,时间上不同的输入具有高度的时间整合,而在视觉皮层中则主要是时间分离。总之,我们证明了基于 INT 的时间整合在 CMS/DMN 和 dlPFC 中的关键作用,包括其在介导我们自我认知偏差中的大脑单一跨模态拓扑组织的关系。

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