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相关概念视频

Brain Imaging01:14

Brain Imaging

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Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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Neural Circuits01:25

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Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
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Imaging Studies I: CT and MRI01:14

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Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
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相关实验视频

Updated: Sep 11, 2025

Using Informational Connectivity to Measure the Synchronous Emergence of fMRI Multi-voxel Information Across Time
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Voxelwise编码模型框架:一个教程介绍,适合编码模型的fMRI数据.

Tom Dupré la Tour1, Matteo Visconti di Oleggio Castello1,2, Jack L Gallant1,2

  • 1Helen Wills Neuroscience Institute, University of California, Berkeley, CA, United States.

Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
PubMed
概括
此摘要是机器生成的。

语音编码模型 (VEM) 框架通过从刺激特征预测活动来映射大脑功能. 本文提供教程,使VEM更容易用于神经成像研究.

关键词:
对fMRI数据的分析.功能性大脑绘制地图自然主义的刺激是自然主义的.预测建模预测建模脊回归的回归方法声音方向编码模型的编码模型.

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科学领域:

  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.
  • 认知神经科学 认知神经科学

背景情况:

  • 功能性大脑映射对于理解认知至关重要.
  • 分析神经成像数据的现有方法可能会因过度适配和功能容量有限而受到影响.
  • 语音编码模型 (VEM) 框架为从复杂的刺激中预测大脑活动提供了一个强大的替代方案.

研究的目的:

  • 为了揭开Voxelwise编码模型 (VEM) 框架的神秘性.
  • 为初学者提供实践教程,帮助他们实现VEM.
  • 促进VEM在神经成像研究中的更广泛采用和传播.

主要方法:

  • 使用一个Voxelwise编码模型 (VEM) 方法,其中来自刺激的特征可以预测voxel-wise大脑活动.
  • 为每个空间样本 (voxel) 安装单独的编码模型.
  • 使用免费的开源工具和公共数据集进行可复制的分析.

主要成果:

  • VEM可以使用大量的功能,适应复杂的自然刺激和任务.
  • 生成了高维的功能地图,反映了对众多特征的voxel选择性.
  • 在单独的测试数据集上对模型性能评估可以最大限度地减少过拟合,并将结果推广到新的受试者和刺激.

结论:

  • VEM是一种功能性大脑映射的强大框架,与传统方法相比,它具有显著的优势.
  • 提供的教程旨在降低对VEM实施的入门障碍.
  • 预计增加可访问性将促进VEM在分析复杂的神经成像数据方面的更广泛使用.