Related Experiment Video
Updated: Jan 7, 2026
07:20
Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
Published on: January 28, 2014
37.1K
Biomarkers.
Giordano Cecchetti1, Giulia Rugarli2,3, Luca Zanchi1
1IRCCS San Raffaele Scientific Institute, Milan, MI, Italy.
Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
Summary
Resting-state EEG theta and alpha power correlate with Alzheimer's disease (AD) plasma biomarkers. Distinct EEG patterns emerged across biomarker groups, highlighting EEG's potential for non-invasive AD diagnosis and monitoring.
Area of Science:
- Neuroscience
- Biomarkers
- Electroencephalography
Background:
- Alzheimer's disease (AD) is a neurodegenerative disorder causing cognitive decline.
- Resting-state electroencephalography (EEG) offers insights into AD-related neurophysiological changes.
- This study explores links between 32-channel resting-state EEG and AD plasma biomarkers in memory clinic patients.
Purpose of the Study:
- To investigate associations between 32-channel resting-state EEG parameters and plasma biomarkers for AD.
- To identify distinct EEG patterns in patients stratified by AD biomarker levels.
Main Methods:
- A cross-sectional study of 193 patients with cognitive disturbances.
- Collected resting-state 32-channel EEG and Lumipulse plasma biomarkers (pTau217, pTau181, NfL, Ab42/40 ratio).
- Patients stratified into three groups based on pTau217 cutoffs; linear regression and ANCOVA used to analyze associations.
Main Results:
- Positive associations found between AD plasma biomarkers (pTau217, pTau181, pTau217/Ab42 ratio) and theta/delta power.
- Negative associations observed between these biomarkers and alpha amplitude/power, and beta power.
- Stratification by pTau217 revealed distinct EEG patterns, with higher theta and lower alpha power in intermediate/high biomarker groups.
Conclusions:
- Resting-state EEG parameters, especially theta and alpha power, are strongly linked to AD plasma biomarkers.
- EEG can capture disease-specific neurophysiological alterations, supporting AD diagnosis.
- EEG presents a scalable, non-invasive method for AD diagnosis and monitoring.
Related Concept Videos
01:20Blood 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...
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
01:19Blood 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...
These markers indicate stress or strain on the heart muscle:
Natriuretic Peptides (BNP)
Cardiac myocytes produce these hormones in response to ventricular stretching...
516