Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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...

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

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

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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Vitronectin Modulates Plasma Aβ Oligomerization Propensity Within Altered Albumin Interactome Networks in Alzheimer's Disease.

International journal of molecular sciences·2026

Same author

Microglial Dysfunction Induced by C9ORF72 Dipeptide Repeat Proteins: Biomarker and Therapeutic Perspectives.

International journal of molecular sciences·2026

Same author

Multitarget Actions of Pentacyclic Triterpenic Acids in Alzheimer's Disease: Mechanistic Insights.

Molecules (Basel, Switzerland)·2026

Same author

Prediction of cognitive impairment through speech data analysis: A comparative evaluation of deep learning models.

PloS one·2026

Same author

Systemic proteomic and organ aging signatures associated with plasma Aβ oligomerization in a Korean cohort: a cross-sectional study.

Frontiers in aging neuroscience·2026

Same author

A Novel Frameshift Mutation in <i>SLC20A2</i> in a Korean Patient with Primary Brain Calcification, Parkinsonism and Memory Impairment.

Biomedicines·2026

Search research articles

Related Experiment Video

Updated: Jan 7, 2026

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

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

Published on: January 28, 2014

Biomarkers.

Chanda Simfukwe¹, Seong Soo A An², Young Chul Youn³

¹Gachon University, Seongnam-Daero, Korea, Republic of (South).

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association

|December 24, 2025

Summary

Alzheimer

Area of Science:

Neuroscience
Biomarkers
Aging Research

Background:

Alzheimer's disease (AD) is a neurodegenerative disorder impacting brain function and resting-state electroencephalography (rEEG) patterns.
Previous research has focused on lower EEG frequencies, with limited investigation into the gamma band (30-100 Hz) in AD.
Gamma oscillations are implicated in cognitive processes, making their role in AD a critical area of study.

Purpose of the Study:

To investigate alterations in the power spectrum density (PSD) of gamma oscillations in individuals with Alzheimer's disease (AD) compared to healthy controls (HC).
To analyze differences in gamma band activity during eyes-open resting (EOR) and eyes-closed resting (ECR) states.
To explore the potential of gamma band activity as a biomarker for AD detection.

Main Methods:

More Related Videos

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

Related Experiment Videos

Last Updated: Jan 7, 2026

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

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

Published on: January 28, 2014

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Ecotoxicological Methodologies to Evaluate Biomarkers at Different Scales in Neotropical Anurans

Published on: April 28, 2023

Utilized resting-state EEG data from 534 participants (269 HC, 265 AD) aged 40-90.
Performed quantitative EEG (qEEG) analysis, including PSD, coherence, and functional connectivity in the 30-100 Hz gamma band.
Data preprocessing and statistical analyses were conducted using established neuroimaging toolboxes and ANOVA.

Main Results:

Significantly increased gamma band PSD was observed across 19 EEG channels in the AD group, particularly in frontal and temporal regions, during both EOR and ECR states.
Source-level analysis revealed elevated gamma power in the AD group compared to HC, with a significant difference in the ECR state.
Pairwise coherence and functional connectivity were elevated in the AD group during ECR but decreased during EOR compared to HC.

Conclusions:

Gamma band activity (30-90 Hz) shows significant alterations in Alzheimer's disease patients.
These findings highlight the potential of gamma oscillations as a sensitive biomarker for AD.
Gamma band analysis offers a cost-effective method for differentiating AD from healthy controls in dementia research.