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相关概念视频

Vision01:24

Vision

Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
Vector Algebra: Graphical Method01:10

Vector Algebra: Graphical Method

Vectors can be multiplied by scalars, added to other vectors, or subtracted from other vectors. The vector sum of two (or more) vectors is called the resultant vector or, for short, the resultant.
We use the laws of geometry to construct resultant vectors, followed by trigonometry to find vector magnitudes and directions. For a geometric construction of the sum of two vectors in a plane, we follow the parallelogram rule. Suppose two vectors are at arbitrary positions. Translate either one of...
Drawing Free-body Diagrams: Rules01:16

Drawing Free-body Diagrams: Rules

The first step in describing and analyzing most phenomena in physics involves the careful drawing of a free-body diagram. Free-body diagrams are useful in analyzing forces acting on an object or system, and are employed extensively in the study and application of Newton's laws of motion. The steps to draw a free-body diagram are listed below:
Lampbrush Chromosomes01:51

Lampbrush Chromosomes

In 1882, Flemming observed lampbrush chromosomes (LBC) in salamander eggs. Later in 1892, Rückert observed LBCs in shark egg cells and coined the term "lampbrush chromosomes" because they looked like brushes used to clean kerosene lamps.
LBCs are made up of two pairs of conjugating homologous chromatids. Each chromatid consists of alternatively positioned regions of condensed-inactive chromatin and loosely placed-active side loops, which can be contracted and extended. The loops resemble the...
Transformations of Functions I01:29

Transformations of Functions I

A function's graph can be modified by changing its position or size without altering its overall shape. These transformations allow the graph to be moved across the coordinate plane while preserving its pattern and structure. One of the most common transformations is shifting, which repositions the graph without distorting it.When the output of a function is adjusted by adding or subtracting a constant, the graph shifts vertically. A positive value moves the graph upward, while a negative value...
Transformations of Functions III01:20

Transformations of Functions III

Transformations modify the graphical representation of a function without changing its fundamental form. One common transformation is reflection, which flips the graph across a designated axis. When the vertical coordinates of all points are multiplied by the negative one, the entire graph is mirrored over the horizontal axis. This transformation reverses the vertical orientation of peaks and troughs, akin to signal inversion in electrical systems, where a waveform is flipped, but the timing of...

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相关实验视频

Updated: Jun 17, 2026

Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging
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Co-analysis of Brain Structure and Function using fMRI and Diffusion-weighted Imaging

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绘制白物质功能连接组:一个个人的视角.

Jiao Li1,2, Huafu Chen1,2, Wei Liao1,2

  • 1The Clinical Hospital of Chengdu Brain Science Institute, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 611731, P.R. China.

Psychoradiology
|November 11, 2025
PubMed
概括

这篇评论使用静止状态fMRI探索大脑白质 (WM) 功能连接体. 研究结果显示,WM网络可以区分疾病,预测智力,并揭示个体差异.

关键词:
临床应用 临床应用连接ome 连接ome 连接ome功能性核磁共振成像 (MRI) 功能性核磁共振成像拓学的拓学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.
  • 神经成像是一种神经成像.
  • 在Connectomics上,我们提供了连接.

背景情况:

  • 人类大脑的功能组织是理解认知的关键.
  • 之前的研究集中在灰质上,使白质 (WM) 功能连接体未得到充分探索.
  • 休息状态功能磁共振成像 (fMRI) 揭示了WM内部的功能动态.

研究的目的:

  • 通过静止状态fMRI对WM功能连接组映射的当前知识进行审查.
  • 介绍关于WM连接组映射,生理学,认知联系和临床相关性的比较发现.
  • 突出WM功能网络在理解大脑功能和疾病方面的潜力.

主要方法:

  • 对无任务 (休息状态) fMRI 神经成像分析的审查.
  • 对WM功能连接组映射,生理基础和认知神经科学关系的比较分析.
  • 检查WM功能网络的临床应用和拓特征.

主要成果:

  • 功能性WM网络具有有效的拓特征.
  • 这些特征可以区分患有脑疾病的个体和健康的对照人群.
  • 在预测一般智力和识别主体间变异性方面,WM功能网络显示出潜力.

结论:

  • WM功能连接体对于全面了解大脑组织至关重要.
  • 新出现的证据支持WM功能网络的临床和认知相关性.
  • 需要进一步的研究来解决局限性,并探索WM连接经济学的未来方向.