Evidence map›Paper›PMID 23771298›Full record

Trial reportAnnals of biomedical engineering2013

Model-based quantification of cerebral hemodynamics as a physiomarker for Alzheimer's disease?

V Z Marmarelis, D C Shin, M E Orme, R Zhang

Abstract readClinical Trial
In one paragraph

Trial report in Annals of biomedical engineering, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Trial
  2. Data-based modeling of cerebral hemodynamics quantifies impairment of cerebral blood flow regulation in type-2 diabetes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
  3. Time-domain methods for quantifying dynamic cerebral blood flow autoregulation: Review and recommendations. A white paper from the Cerebrovascular Research Network (CARNet).Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Quantification of dynamic cerebral autoregulation and COJournal of applied physiology (Bethesda, Md. : 1985) · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Vascular coupling in resting-state fMRI: evidence from multiple modalities.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015
    Article
  18. Principal Dynamic Mode Analysis of EEG Data for Assisting the Diagnosis of Alzheimer's Disease.IEEE journal of translational engineering in health and medicine · 2015
    Article
  19. Expression of Tau protein in rats with cognitive dysfunction induced by cerebral hypoperfusion.International journal of clinical and experimental medicine · 2015
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

V Z MarmarelisUniversity of Southern California, Los Angeles, CA, USA, vzm@usc.edu.
D C Shin
M E Orme
R Zhang

Funding

TrainingP41EB001978 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KHOO, MICHAEL C K · 2003 to 2017
$18.1M
Mild Cognitive Impairment: Cerebrovascular Dysfunction and Exercise TrainingR01AG033106 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG, ZHANG, RONG · 2009 to 2012
$3.1M
NIA NIH HHS R01 AG033106NIA NIH HHS R01AG033106-01NIBIB NIH HHS P41 EB001978NIBIB NIH HHS P41-EB001978
6 · The paper itself

Abstract

Previous studies have found that Alzheimer's disease (AD) impairs cerebral vascular function, even at early stages of the disease. This offers the prospect of a useful diagnostic method for AD, if cerebral vascular dysfunction can be quantified reliably within practical clinical constraints. We present a recently developed methodology that utilizes a data-based dynamic nonlinear closed-loop model of cerebral hemodynamics to compute "physiomarkers" quantifying the state of cerebral flow autoregulation to pressure-changes (CA) and cerebral CO2 vasomotor reactivity (CVMR) in each subject. This model is estimated from beat-to-beat measurements of mean arterial blood pressure, mean cerebral blood flow velocity and end-tidal CO2, which can be made reliably and non-invasively under resting conditions. This model may also take an open-loop form and comparisons are made with the closed-loop counterpart. The proposed model-based physiomarkers take the form of two indices that quantify the gain of the CA and CVMR processes in each subject. It was found in an initial set of clinical data that the CVMR index delineates AD patients from control subjects and, therefore, may prove useful in the improved diagnosis of early-stage AD.

Indexed as

Blood PressureCerebrovascular CirculationModels, CardiovascularAlzheimer DiseaseBlood Flow VelocityFemaleHumansMale

Identifiers

PMID23771298
PMCPMC3992829

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.