Evidence map›Paper›PMID 36973476›Full record

ArticleBrain imaging and behavior2023

Hypo- and hyper-perfusion in MCI and AD identified by different ASL MRI sequences.

Aldo Camargo, Ze Wang, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Spatially and temporally progressive hypoperfusion in Alzheimer's disease revealed by normative modeling.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Cerebral Hemodynamic Impairment and Cognitive Dysfunction inJournal of the American Heart Association · 2025
    Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Cerebral perfusion and amyloidosis in the oldest-old.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  15. 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

3 authors.

Aldo CamargoDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, HSF III Room 1173, 670 W Baltimore St, Baltimore, MD, 21201, USA.
Ze WangDepartment of Diagnostic Radiology & Nuclear Medicine, University of Maryland School of Medicine, HSF III Room 1173, 670 W Baltimore St, Baltimore, MD, 21201, USA. ze.wang@som.umaryland.edu.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
QAQC Johns Hopkins Institute for Clinical and Translational ResearchUL1TR003098 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2019 to 2023
$57.7M
High Spatial and Temporal Resolution MRI Mapping of Oxygen Consumption in HumansP41EB029460 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Ravinder Reddy · 2021 to 2026
$7.6M
Academic Industrial Partnership on Advanced Perfusion MRIR01EB031080 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI Yulin V Chang, JOHN A DETRE · 2022 to 2026
$2.7M
Diversity Supplement to Brain entropy mapping in Alzheimer's DiseaseR01AG070227 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2021 to 2024
$2.5M
Assessing ASL CBF as a biomarker for early Alzheimer's disease detection and disease progressionR01AG060054 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2019 to 2021
$1.7M
Assessing chronic pain using brain entropy mappingR21AG082345 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2022 to 2022
$442k
NCATS NIH HHS UL1 TR003098NIA NIH HHS R01 AG060054NIA NIH HHS R01 AG070227NIA NIH HHS R21 AG082345NIA NIH HHS U01 AG024904NIBIB NIH HHS P41 EB029460NIBIB NIH HHS R01 EB031080NIH HHS R01AG060054, R01AG070227, R01EB031080-01A1, P41EB029460-01A1, 1UL1TR003098.
6 · The paper itself

Abstract

Arterial spin labeling (ASL) perfusion MRI has been increasingly used in Alzheimer's Disease (AD) research. However, ASL MRI sequences differ greatly in terms of arterial blood signal preparations and data acquisition strategies, both leading to a large difference of signal-to-noise ratio (SNR). It is of great translational importance to compare the several widely used ASL MRI sequences regarding sensitivity of ASL measured cerebral blood flow (CBF) for detecting the between-group difference across the AD continuum. To this end, this study compared three ASL MRI sequences in AD research, including the 2D Pulsed ASL (PASL), 3D Background Suppressed (BS) PASL, and 3D BS Pseudo-Continuous ASL (PCASL). We used data from 100 healthy and cognitively normal elderly control (NC) subjects, 75 patients with mild cognitive impairment (MCI), and 57 Alzheimer's disease (AD) subjects from the AD neuroimaging initiative (ADNI). Both cross-sectional perfusion difference and perfusion versus clinical assessment correlations were examined. The major findings included: 3D PCASL sequence identified stronger patient versus control CBF/rCBF differences than 2D PASL and 3D PASL; MCI showed reduced CBF and CBF redistribution; CBF in orbito-frontal cortex presents a new U-shape change pattern from normal aging to MCI and to AD; 3D PCASL identified a negative rCBF to memory correlation while 2D PASL showed a positive correlation.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedCerebrovascular CirculationCross-Sectional StudiesHumansMagnetic Resonance ImagingPerfusion2D PASL3D PASL3D PCASLAlzheimer’s diseaseCerebral blood flow

Identifiers

PMID36973476
PMCPMC10198885

What Socratic 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 Socratic graph.