Evidence map›Paper›PMID 29292540›Full record

ArticleJournal of magnetic resonance imaging : JMRI2018

Arterial-spin-labeling (ASL) perfusion MRI predicts cognitive function in elderly individuals: A 4-year longitudinal study.

Jill B De Vis, Shin-Lei Peng, Xi Chen, Yang Li, Peiying Liu, Sandeepa Sur, Karen M Rodrigue, Denise C Park, Hanzhang Lu

Open access · greenAbstract read
In one paragraph

Article in Journal of magnetic resonance imaging : JMRI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

63 citing papers in PubMed, 97 citations in OpenAlex.

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  11. The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI).Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Review
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  19. Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  20. Effects of Brain Maintenance and Cognitive Reserve on Age-Related Decline in Three Cognitive Abilities.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article

3 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 2 countries.

Jill B De VisDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Shin-Lei PengDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Xi ChenCenter for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Texas, USA.
Yang LiDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Peiying LiuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Sandeepa SurDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Karen M RodrigueCenter for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Texas, USA.
Denise C ParkCenter for Vital Longevity, School of Behavioral and Brain Sciences, University of Texas at Dallas, Texas, USA.
Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Johns Hopkins Medicine · USThe University of Texas at Dallas · USJohns Hopkins University · USChina Medical University · TW

Funding

TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
Neuroimaging of Dedifferentiation and Memory Across the LifespanR37AG006265 · NIA · UNIVERSITY OF TEXAS DALLAS · PI PARK, DENISE CORTIS · 2006 to 2016
$8.5M
Dallas Lifespan Brain Study-Wave 3: Neurodegeneration & Resilience in CognitionRF1AG006265 · NIA · UNIVERSITY OF TEXAS DALLAS · PI PARK, DENISE CORTIS · 2017 to 2019
$7.1M
Normalized functional MRI in human brain disordersR01MH084021 · NIMH · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2008 to 2017
$3.6M
IMAGERY,VISUAL MEMORY &AGING:A NEUROIMAGING APPROACHR01AG006265 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PARK, DENISE CORTIS · 1985 to 2005
$2.6M
Modulation of brain activity by control of the inspired airR01NS067015 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2010 to 2013
$1.5M
Cognition and cerebrovascular function across the lifespanR01AG042753 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI LU, HANZHANG · 2013 to 2015
$841k
Vascular Effects on Normal Neural and Cognitive AgingR00AG036848 · NIA · UNIVERSITY OF TEXAS DALLAS · PI RODRIGUE, KAREN M · 2012 to 2014
$733k
NIA NIH HHS R00 AG036848NIA NIH HHS R01 AG006265NIA NIH HHS R01 AG042753NIA NIH HHS R37 AG006265NIA NIH HHS RF1 AG006265NIBIB NIH HHS P41 EB015909NIMH NIH HHS R01 MH084021NINDS NIH HHS R01 NS067015
6 · The paper itself

Abstract

backgroundWith the disappointing outcomes of clinical trials on patients with Alzheimer's disease or mild cognitive impairment (MCI), there is increasing attention to understanding cognitive decline in normal elderly individuals, with the goal of identifying subjects who are most susceptible to imminent cognitive impairment. PURPOSE/HYPOTHESIS: To evaluate the potential of cerebral blood flow (CBF) as a biomarker by investigating the relationship between CBF at baseline and cognition at follow-up. STUDY TYPE: Prospective longitudinal study with a 4-year time interval. POPULATION: 309 healthy subjects aged 20-89 years old. FIELD STRENGTH/SEQUENCE: 3T pseudo-continuous-arterial-spin-labeling MRI. ASSESSMENT: CBF at baseline and cognitive assessment at both baseline and follow-up. STATISTICAL TESTS: Linear regression analyses with age, systolic blood pressure, physical activity, and baseline cognition as covariates.

resultsLinear regression analyses revealed that whole-brain CBF at baseline was predictive of general fluid cognition at follow-up. This effect was observed in the older group (age ≥54 years, β = 0.221, P = 0.004), but not in younger or entire sample (β = 0.018, P = 0.867 and β = 0.089, P = 0.098, respectively). Among major brain lobes, frontal CBF had the highest sensitivity in predicting future cognition, with a significant effect observed for fluid cognition (β = 0.244 P = 0.001), episodic memory (β = 0.294, P = 0.001), and reasoning (β = 0.186, P = 0.027). These associations remained significant after accounting for baseline cognition. Voxelwise analysis revealed that medial frontal cortex and anterior cingulate cortex, part of the default mode network (DMN), are among the most important regions in predicting fluid cognition. DATA

conclusionIn a healthy aging cohort, CBF can predict general cognitive ability as well as specific domains of cognitive function. LEVEL OF EVIDENCE: 1 Technical Efficacy: Stage 3 J. MAGN. RESON. IMAGING 2018;48:449-458.

Indexed as

Magnetic Resonance ImagingSpin LabelsAdultAgedAged, 80 and overArteriesBrainBrain MappingCardiovascular SystemCognitive DysfunctionFemaleHumansLife StyleLinear ModelsLongitudinal StudiesMaleSpin LabelsagingAlzheimer's diseasearterial spin labelingcerebral blood flowcognitionepisodic memory

Identifiers

PMID29292540
PMCPMC6028323
OpenAlexW2782431358

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.