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

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

749
Cardiac biomarkers are enzymes, proteins, and hormones released into the blood when cardiac cells are injured. They are powerful tools for triaging.
The essential diagnostic tools for detecting myocardial necrosis and monitoring individuals suspected of having acute coronary syndrome (ACS) include:
Troponins
Troponins, particularly cardiac troponins I and T, are the most precise and sensitive markers of myocardial injury. They are detectable within 4-6 hours of myocardial injury and remain...
749
Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers

516
Cardiac biomarkers are critical in diagnosing, prognosing, and managing cardiovascular diseases. Routine measurement of specific biomarkers such as B-type natriuretic peptide (BNP), C-reactive protein (CRP), and homocysteine (Hcy) is common practice in clinical settings to evaluate heart function and predict cardiovascular events.
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
516

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

Dementia etiology classification using NULISA plasma biomarkers and machine learning.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Plasma neurofilament light is associated with hippocampal volume and memory performance but not functional connectivity in older adults with and without mild cognitive decline.

Aging brain·2026
Same author

Linking sleep apnea and arthritis in the National Alzheimer Coordinating Center Cohort: A cross-sectional analysis.

Medicine·2026
Same author

Measurement differences in the Harmonized Cognitive Assessment Protocol across ethnicity and language in the United States.

Neuropsychology·2026
Same author

Motor, not cognitive, performance relates to amyloid status in normal older adults.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Baseline Resting-State Network Integration Modulates Task Performance and Aftereffect.

Sensors (Basel, Switzerland)·2026
Same journal

Multimorbidity burden and patterns associated with DeepBrainNet-derived brain-age gap in dementia-free older adults: A community-based study.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Reply to "Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities".

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Shifting the emphasis of brain health literacy from individuals to systems to reduce inequalities.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Correlates and predictors of self-efficacy among dementia caregivers: D-CARE findings.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

What should convince a clinician of disease modification in Alzheimer's disease clinical trials?

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same journal

Primary cilia-extracellular vesicle crosstalk in Alzheimer's disease: Emerging mechanisms and biomarker potential.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
查看所有相关文章

相关实验视频

Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K

生物标志物 生物标志物

Ming Gu1,2, Boxin Sun1,2, Voyko Kavcic1,3,4

  • 1Michigan Alzheimer's Disease Research Center, Ann Arbor, MI, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
PubMed
概括
此摘要是机器生成的。

结合脑电图 (EEG) 和NIH工具箱-认知电池 (NIHTB-CB) 数据,显著提高了检测轻度认知障碍 (MCI) 的准确性. 这种综合方法为早期阿尔茨海默氏症提供了更敏感的方法.

更多相关视频

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

相关实验视频

Last Updated: Jan 7, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.1K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.9K
Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans
08:14

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

702

科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 生物医学工程 生物医学工程

背景情况:

  • 早期识别患有阿尔茨海默病和相关痴呆症风险的个体对于及时干预和提高生活质量至关重要.
  • 这项研究旨在通过将脑电图 (EEG) 数据与NIH工具箱-认知电池 (NIHTB-CB) 集成,提高正常认知 (NC) 和轻度认知障碍 (MCI) 的分类准确性.

研究的目的:

  • 为了评估单独使用EEG的诊断性能,单独使用NIHTB-CB,以及用于区分正常认知和轻度认知障碍之间的联合EEG+NIHTB-CB方法.
  • 确定是否结合认知评估得分可以提高基于EEG的分析对MCI检测的辨别力.

主要方法:

  • 利用了71名参与者 (40NC,31MCI) 的数据,其中包括64通道静止状态EEG和NIHTB-CB评估.
  • NIHTB-CB包括结晶和流体能力,处理速度,注意力,工作记忆和视觉记忆的测试.
  • 使用单独的EEG,单独的NIHTB-CB和组合方法的k倍交叉验证 (k=3,5,10) 的比较分类准确性,在50个随机测试集选择中平均结果.

主要成果:

  • 合并的EEG+NIHTB-CB模型达到最高的10倍测试准确率78.82%,超过单独的EEG (75.49%) 和单独的NIHTB-CB (65.89%).
  • 组合模型的十倍交叉验证准确度,利用所有样本进行特征选择,达到93.1%.
  • 对于k=3和k=5交叉验证,观察到有利于综合方法的类似趋势.

结论:

  • 与NIHTB-CB认知分数与EEG数据的整合显著提高了轻度认知障碍检测的准确性,而不是单独使用这两种方法.
  • 综合的EEG+NIHTB-CB模型在MCI检测方面表现出卓越的灵敏度,突显了多式联络数据的协同效应价值.
  • 增加样本大小有助于在认知障碍研究中更可靠的特征选择和分类.