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Related Concept Videos

Blood Studies for Cardiovascular System I: Cardiac Biomarkers01:20

Blood Studies for Cardiovascular System I: Cardiac Biomarkers

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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
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Blood Studies for Cardiovascular System II: CRP, Hcy, and Cardiac Natriuretic Peptide Markers01:19

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

Giorgia Francesca Scaramuzzi1, Valerio Manippa2, Gaetano Scianatico2

  • 1University of Bari Aldo Moro, Bari, Bari, Italy.

Alzheimer'S & Dementia : the Journal of the Alzheimer'S Association
|December 26, 2025
PubMed
Summary
This summary is machine-generated.

Resting-state EEG gamma band power predicts associative memory performance. Increased slow-gamma and fast-gamma power in specific brain regions are linked to better memory recall, potentially serving as early biomarkers for cognitive decline.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomarkers

Background:

  • Associative memory is crucial for social cognition and declines early in Alzheimer's Disease (AD).
  • Gamma band oscillations (30-120 Hz) are vital for cognitive functions like memory consolidation.
  • Resting-state EEG (rsEEG) spectral power may predict associative memory deficits, offering early detection for AD-related cognitive impairment.

Purpose of the Study:

  • To investigate if rsEEG spectral power can serve as a predictive biomarker for associative memory ability.
  • To identify potential early indicators of memory challenges associated with AD.

Main Methods:

  • Forty-eight healthy adults participated in the study.
  • rsEEG recordings were obtained.
  • Participants completed a face-name association task (FNAT) assessing immediate and delayed recall.

Main Results:

  • Slow-gamma (s-γ) power significantly predicted delayed recall, explaining 22% of the variance (p=0.024).
  • Fast-gamma (f-γ) power significantly predicted delayed recall, explaining 27% of the variance (p=0.006).
  • Increased temporal s-γ, increased frontal f-γ, and reduced posterior f-γ power were associated with better memory performance.

Conclusions:

  • Findings confirm the role of the temporal lobe in associative memory consolidation and retrieval, aligning with AD-related gamma power reductions.
  • Increased frontal f-γ activity suggests enhanced executive control during memory retrieval.
  • These insights into neurophysiological mechanisms may aid in monitoring and preventing cognitive decline in at-risk populations.