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相关概念视频

Information Processing Approach01:30

Information Processing Approach

48
The information-processing theory of cognitive development centers on fundamental mental processes, including attention, memory, and problem-solving skills. Researchers in this field examine how cognitive abilities, such as working memory, evolve and influence children's overall development. Studies indicate that children with stronger working memory tend to excel in reading comprehension, math, and problem-solving compared to peers with less efficient memory skills. Low working memory is...
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High-Level and Low-Level Awareness01:19

High-Level and Low-Level Awareness

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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...
275
Role of Cerebellum and Prefrontal Cortex in Memory01:14

Role of Cerebellum and Prefrontal Cortex in Memory

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The cerebellum, while traditionally associated with motor control, also plays a crucial role in memory, particularly in procedural memory, which involves learning motor tasks that become automatic through repetition. For example, studies have shown that when the cerebellum is damaged, individuals or animals lose the ability to learn conditioned motor responses, such as the conditioned eye-blink response in classical conditioning experiments with rabbits. This study demonstrates the...
452

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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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个人级别的功能连接性预测了认知控制效率.

Benjamin L Deck1, Apoorva Kelkar1, Brian Erickson1

  • 1Department of Psychological and Brain Sciences, Drexel University, 3201 Chestnut Street, Philadelphia, 19104, PA, USA.

NeuroImage
|October 11, 2023
PubMed
概括
此摘要是机器生成的。

认知控制 (CC) 依赖于大脑网络的相互作用. 这项研究表明,像前端-双侧控制网络 (FPCN-B) 和侧面默认模式网络 (L-DMN) 等网络之间的功能连接预测了个体的切换和抑制能力.

关键词:
认知控制 认知控制纳沃恩 (Navon) 是一个名字.预测 预测 预测斯图普斯都是一位Stroop的朋友.

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科学领域:

  • 神经科学是一个神经科学.
  • 认知心理学 认知心理学
  • 脑部成像 脑部成像

背景情况:

  • 认知控制 (CC) 对于日常解决问题至关重要,并且在各种疾病中受损.
  • 三方模型将切换,抑制和更新确定为关键的CC行为.
  • 特定的大脑网络,包括前侧双侧控制网络B (FPCN-B),背侧注意网络 (DAN), cingulo-opercular网络 (CON) 和横向默认模式网络 (L-DMN),都与CC行为有关.

研究的目的:

  • 研究特定大脑网络之间的相互作用,预测认知切换和抑制的个体差异.
  • 确定FPCN-B,DAN,CON和L-DMN内部和之间的功能连接模式是否可以预测CC行为.

主要方法:

  • 参与者在执行需要认知切换和抑制的任务时接受了fMRI扫描.
  • 支持向量回归 (SVR) 模型被用来预测行为表现,使用个人估计的功能连接.
  • 分析了FPCN-B,DAN,CON和L-DMN之间的连接.

主要成果:

  • 发现网络间的功能连接可以预测抑制和切换行为中的个体差异.
  • 确定横向默认模式网络 (L-DMN) 在切换和抑制任务中起着重要作用.
  • 个人估计的网络间连接可以作为CC行为可靠的标记.

结论:

  • 大脑网络之间的相互作用,特别是涉及L-DMN,是认知控制的基础.
  • 功能连接模式为评估和理解CC缺陷提供了潜在的生物标志物.
  • 认知切换和抑制能力来自分布式神经网络之间的动态相互作用.