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相关概念视频

Long-term Potentiation01:35

Long-term Potentiation

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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相关实验视频

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Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
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长期持续的注意力改变了动态的功能连接模式.

Jia Liu, Nebojsa Malesevic, Christian Antfolk

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |December 12, 2023
    PubMed
    概括
    此摘要是机器生成的。

    精神疲劳会影响持续的注意力. 使用图形理论的动态大脑网络分析显示,随着时间的推移,特征性路径长度和聚类系数下降,这表明认知能力下降.

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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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    Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
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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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    科学领域:

    • 神经科学是一个神经科学.
    • 认知科学 认知科学
    • 计算神经科学是一种神经科学.

    背景情况:

    • 精神疲劳显著影响性能效率和安全.
    • 使用图形理论的功能连接分析有效地揭示了由于精神疲劳而导致的认知资源变化.
    • 动态网络重组对于理解认知能力至关重要.

    研究的目的:

    • 探索与持续注意力相关的大脑网络的动态时间尺度.
    • 研究精神疲劳对功能性大脑网络的影响.
    • 应用图形理论来分析长时间注意力任务期间大脑网络的动态变化.

    主要方法:

    • 在60分钟的持续注意力任务中使用了21名受试者的开放式EEG数据集.
    • 使用权重阶段滞后指数 (wPLI) 在太频段构建的连接矩阵.
    • 有特征的动态图表测量,包括特征路径长度 (CPL) 和聚类系数 (CC).

    主要成果:

    • 甲频段的前额-双侧脑网络与持续的注意力有关.
    • 在时间和空间激活中平均计算时,CPL和CC都显示了任务时间的减少.
    • 这些发现表明,由于精神疲劳,注意力维持能力的恶化.

    结论:

    • 精神疲劳导致持续注意力能力下降.
    • 图形理论分析提供了关于精神疲劳及其对大脑网络的影响的宝贵见解.
    • 了解动态大脑网络的变化有助于研究神经疾病中的注意力缺陷和精神状态.