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相关概念视频

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
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The limbic system, often called the "emotional brain," is a complex set of structures located deep within the brain. The intricate network of the limbic system supports a wide range of psychological functions, from emotional regulation to memory formation and sensory processing. This functional brain region encompasses specific parts of the diencephalon and the cerebrum, integrating the higher mental functions of the cerebral cortex with the primitive emotional responses of the deep...
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Each cerebral hemisphere can be divided into three main regions. The outermost region, the cerebral cortex, is a thin layer (2 to 4 millimeters thick) made up of gray matter, consisting of neuron cell bodies, dendrites, glial cells, and blood vessels. The middle region, or white matter, is primarily composed of myelinated nerve fibers organized into three types of large tracts: association fibers, commissures, and projection fibers. Association fibers connect different areas within the same...
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相关实验视频

Updated: Jun 8, 2025

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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发育中的大脑中的白质功能网络.

Yali Huang1, Charles M Glasier1,2, Xiaoxu Na1

  • 1Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States.

Frontiers in neuroscience
|November 7, 2024
PubMed
概括
此摘要是机器生成的。

大脑白质的功能网络显示,从新生儿到8岁的孩子,有显著的发育变化,老年儿童的连接性变化和更高的高频能量,反映了大脑的发育.

关键词:
通过RS-fMRI进行.大脑发育大脑的发育大脑的发展法尔夫夫夫 (法尔夫夫夫) 的意思功能连接性的功能连接性白质是白色物质的组成部分.

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科学领域:

  • 神经科学是一个神经科学.
  • 发育神经科学的发展神经科学.
  • 脑部成像 脑部成像

背景情况:

  • 功能磁共振成像 (fMRI) 显示了儿童认知发育期间灰色物质网络的动态变化.
  • 白质的功能网络虽然由于信号较弱而被研究较少,但对于理解大脑成熟至关重要.
  • 之前的研究还没有完全描述大脑发育中的白质网络变化.

研究的目的:

  • 研究和比较新生儿和8岁儿童的白质功能网络.
  • 为了确定白质网络特征的发育差异.
  • 将发现与灰色物质网络发展相关联.

主要方法:

  • 使用标准化协议从新生儿和8岁儿童获得休息状态fMRI数据.
  • 使用独立组件分析 (ICA) 来提取白质的功能网络.
  • 分析了网络内部和网络间的功能连接 (FC) 和低频波动的分数振幅 (fALFF).

主要成果:

  • 白质功能网络在新生儿和8岁儿童中都得到了可靠的描述.
  • 与新生儿相比,8岁的儿童在关键通道 (光学辐射,皮质脊髓) 中表现出较低的网络内部FC和较高的网络内部FC (CP-ACR).
  • 年龄较大的儿童在白质网络中显示出高频能量分布的增加 (0.01-0.15 Hz).

结论:

  • 在婴儿和童年之间,白质功能网络发生了显著的发育转变.
  • 这些变化,包括改变的FC和频率分布,表明大脑发育过程中的功能差异化和整合.
  • 白质网络的发现反映了灰质网络中观察到的发育变化.