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相关概念视频

Decision Making01:20

Decision Making

70
Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
Automatic decision-making is fast, intuitive, and relies on gut feelings...
70
Reason and Intuition01:37

Reason and Intuition

6.3K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
6.3K
High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

227
Controlled processes in human consciousness represent high-alert mental states where individuals deliberately focus their attention on achieving specific goals. Controlled processes can be seen in situations like mastering new technology, where a person might become so absorbed that they ignore surrounding distractions. Such processes involve selective attention, requiring one to concentrate on particular elements of experience while disregarding others. These are governed by executive...
227

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相关实验视频

Updated: May 14, 2025

A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
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A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance

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突出的网络静止状态功能连接性预测了自我控制的决策.

Jasmin Stein1, Franziska M Korb2, Thomas Goschke2

  • 1Faculty of Psychology, TU Dresden, Dresden, D-01069, Germany. jasmin.stein@tu-dresden.de.

Scientific reports
|May 10, 2025
PubMed
概括

大脑网络连接,特别是突出网络连接.

科学领域:

  • 神经科学是一个神经科学.
  • 认知神经科学 认知神经科学
  • 脑部成像 脑部成像

背景情况:

  • 休息状态的功能连接模式,特别是在突出网络 (SN) 中,已被假设为预测自我控制.
  • 自主控制的一个建议的神经相关物涉及增加了与中央执行网络 (CEN) 的 SN 集成,并减少了与默认模式网络 (DMN) 的 SN 连接.

研究的目的:

  • 用功能磁共振成像 (fMRI) 来复制自我控制的神经相关的发现.
  • 研究突出网络功能集成与自我控制决策之间的关系.

主要方法:

  • 利用来自两个独立研究 (N=121和N=79) 的fMRI数据,涉及自我控制任务.
  • 分析了 salience 网络,中央执行网络和默认模式网络之间的静止状态功能连接.
  • 研究了网络交互指数与自我控制表现之间的关联.

主要成果:

  • 没有复制SN功能集成和自我控制之间的建议关联.
  • 发现了反向关系的证据:较低的自我控制表现与拟议的网络交互指数有关.
  • 结果表明,与自我控制的假设神经相关的相反.

结论:

关键词:
休息状态的功能连接.Salience 网络是一个突出网络.自制是一种自我控制.

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  • 突出网络休息状态功能连接在预测自我控制中的假设作用没有得到支持.
  • 这些发现表明,自我控制的基础是预期的神经机制的潜在逆转.
  • 方法考虑,包括分析管道和自我控制测量,对于解释这些结果至关重要.