Evidence map›Paper›PMID 27911329›Full record

ArticleJournal of Alzheimer's disease : JAD2017

Comparison of Model-Based Indices of Cerebral Autoregulation and Vasomotor Reactivity Using Transcranial Doppler versus Near-Infrared Spectroscopy in Patients with Amnestic Mild Cognitive Impairment.

Vasilis Z Marmarelis, Dae C Shin, Takashi Tarumi, Rong Zhang

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
–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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. APOE4 carriers display loss of anticipatory cerebrovascular regulation across the Alzheimer's disease continuum.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Article
  7. 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
  8. 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
  9. COJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
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  14. Review
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  16. Review
  17. Prognosis and risk factors for reocclusion after mechanical thrombectomy.Annals of clinical and translational neurology · 2020
    Article
  18. Quantification of dynamic cerebral autoregulation and COJournal of applied physiology (Bethesda, Md. : 1985) · 2020
    Article
  19. 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.

Vasilis Z MarmarelisBiomedical Simulations Resource Center, University of Southern California, Los Angeles, CA, USA.
Dae C ShinBiomedical Simulations Resource Center, University of Southern California, Los Angeles, CA, USA.
Takashi TarumiExercise Physiology & Rehabilitation Center, UT Southwestern Medical Center, Dallas, TX, USA.
Rong ZhangExercise Physiology & Rehabilitation Center, UT Southwestern Medical Center, Dallas, TX, USA.

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 AG033106NIBIB NIH HHS P41 EB001978
6 · The paper itself

Abstract

We recently introduced model-based "physiomarkers" of dynamic cerebral autoregulation and CO2 vasomotor reactivity as an aid for diagnosis of early-stage Alzheimer's disease (AD) [1], where significant impairment of dynamic vasomotor reactivity (DVR) was observed in early-stage AD patients relative to age-matched controls. Milder impairment of DVR was shown in patients with amnestic mild cognitive impairment (MCI) using the same approach in a subsequent study [2]. The advocated approach utilizes subject-specific data-based models of cerebral hemodynamics to quantify the dynamic effects of resting-state changes in arterial blood pressure and end-tidal CO2 (the putative inputs) upon cerebral blood flow velocity (the putative output) measured at the middle cerebral artery via transcranial Doppler (TCD). The obtained input-output models are then used to compute model-based indices of DCA and DVR from model-predicted responses to an input pressure pulse or an input CO2 pulse, respectively. In this paper, we compare these model-based indices of DVR and DCA in 46 amnestic MCI patients, relative to 20 age-matched controls, using TCD measurements with their counterparts using Near-Infrared Spectroscopy (NIRS) measurements of blood oxygenation at the lateral prefrontal cortex in 43 patients and 22 age-matched controls. The goal of the study is to assess whether NIRS measurements can be used instead of TCD measurements to obtain model-based physiomarkers with comparable diagnostic utility. The results corroborate this view in terms of the ability of either output to yield model-based physiomarkers that can differentiate the group of aMCI patients from age-matched healthy controls.

Indexed as

Spectroscopy, Near-InfraredAgedAmnesiaBlood Flow VelocityCerebrovascular CirculationCognitive DysfunctionFemaleHomeostasisHumansMaleMental RecallMental Status ScheduleMiddle AgedModels, BiologicalTime FactorsUltrasonography, Doppler, TranscranialAlzheimer’s diseasecerebral blood flowcerebral circulationmild cognitive impairment

Identifiers

PMID27911329
PMCPMC5240580

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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.