Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Brain Imaging01:14

Brain Imaging

644
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...
644
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

216
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,...
216
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

9.0K
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...
9.0K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Psilocybin's effect on human brain synaptic plasticity.

Translational psychiatry·2026
Same author

Preoperative limbic cortical thinning in mesial temporal lobe epilepsy surgical candidates is associated with pre-existing and de novo postoperative depression.

Epileptic disorders : international epilepsy journal with videotape·2026
Same author

Convergent increases in serotonin 1B receptor binding following ketamine and electroconvulsive therapy: a multi-centre bayesian re-analysis of PET data.

Molecular psychiatry·2026
Same author

Multi-metric evaluations of acute psychedelic effects on fMRI brain entropy.

Nature communications·2026
Same author

Running therapy reorganizes dynamic brain networks linked to symptom improvement in affective disorders.

Biological psychiatry. Cognitive neuroscience and neuroimaging·2026
Same author

Scan duration for dopamine transporter neuroimaging with[<sup>123</sup>I]FP-CIT and a high-sensitivity multiple-pinhole SPECT/CT.

EJNMMI physics·2026

相关实验视频

Updated: Jan 10, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K

人类大脑成像数据的空间和人口相关性之间的不一致.

Patrick M Fisher1,2, Kristian Larsen1,3, Pontus Plavén-Sigray1,4

  • 1Neurobiology Research Unit, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark.

Human brain mapping
|November 26, 2025
PubMed
概括

跨区域的大脑成像测量之间的相关性可能具有误导性. 研究应该在解释这些发现时谨慎,因为它们可能不反映真正的参与者级别关系.

关键词:
相关性 相关性 相关性人类大脑成像成像磁共振成像技术的使用定子发射断层扫描 (PET).这是一个回归回归的回归.统计分析是一种统计分析.

更多相关视频

Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.4K
Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level
07:28

Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level

Published on: January 24, 2025

656

相关实验视频

Last Updated: Jan 10, 2026

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
14:27

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

16.1K
Modeling the Functional Network for Spatial Navigation in the Human Brain
05:55

Modeling the Functional Network for Spatial Navigation in the Human Brain

Published on: October 13, 2023

1.4K
Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level
07:28

Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level

Published on: January 24, 2025

656

科学领域:

  • 神经科学是一个神经科学.
  • 脑部成像 脑部成像
  • 生物统计学 生物统计学

背景情况:

  • 人口级大脑图通常用于关联受体结合潜力 (BP) 和功能 (例如,大脑血流,CBF).
  • 这些相关性通常通过独立队列的数据在不同地区进行估计,这引发了解释方面的担忧.

研究的目的:

  • 调查多式脑成像中跨区域相关性的有效性.
  • 突出人口级脑图分析中的潜在偏见和解释问题.

主要方法:

  • 在24名健康参与者中利用多式神经成像 ([11C]Cimbi-36 PET和MRI) 来测量区域BP和CBF.
  • 使用四种方法估计相关性:从单个/单独的队列跨区域,跨区域内的参与者,以及在线性混合效应模型中.
  • 进行模拟研究以评估区域差异对相关性估计的影响.

主要成果:

  • 在不同地区发现了显著的正相关性 (ρ̂1.1 = 0.672,p = 0.0023; ρ̂1.2 = 0.659,p = 0.0030).
  • 参与者的区域特异性相关性明显较低且不显著 (ρ̂2平均值 = 0.140; ρ̂3 = 0.138, p = 0.26).
  • 模拟表明,BP/CBF的区域差异可能会导致跨区域的相关性产生偏差,并增加1型错误率.

结论:

  • 人口级大脑图中的跨区域相关性可能不准确地反映参与者级生物关系.
  • 解释跨区域的相关性作为生物关系的证据是有问题的,因为潜在的偏见.
  • 需要进一步的研究来开发有效的方法来分析人口层面的大脑成像数据和减轻偏见.