Evidence map›Paper›PMID 33480157›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2021

MarkVCID cerebral small vessel consortium: II. Neuroimaging protocols.

Hanzhang Lu, Amir H Kashani, Konstantinos Arfanakis, Arvind Caprihan, Charles DeCarli, Brian T Gold, Yang Li, Pauline Maillard, Claudia L Satizabal, Lara Stables and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 2% 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, 2 syntheses or guidelines pooled it, 79 citations in OpenAlex.

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  16. Celebrating 40 years of the University of Kentucky Alzheimer's Disease Research Center.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
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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

20 authors at 12 institutions in 2 countries.

Hanzhang LuDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Amir H KashaniDepartment of Ophthalmology, USC Roski Eye Institute, USC Ginsberg Institute for Biomedical Therapeutics, Los Angeles, California, USA.
Konstantinos ArfanakisDepartment of Biomedical Engineering, Illinois Institute of Technology, Chicago, Illinois, USA.
Arvind CaprihanThe Mind Research Network, Albuquerque, New Mexico, USA.
Charles DeCarliDepartment of Neurology, University of California, Davis, Davis, California, USA.
Brian T GoldDepartment of Neuroscience, University of Kentucky, Lexington, Kentucky, USA.
Yang LiDepartment of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Pauline MaillardDepartment of Neurology, University of California, Davis, Davis, California, USA.
Claudia L SatizabalDepartment of Epidemiology and Biostatistics, University of Texas Health San Antonio, San Antonio, Texas, USA.
Lara StablesDepartment of Neurology, University of California, San Francisco, San Francisco, California, USA.
Danny J J WangDepartments of Neurology and Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Roderick A CorriveauNational Institute of Neurological Disorders and Stroke, Rockville, Maryland, USA.
Herpreet SinghDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Eric E SmithDepartments of Clinical Neurosciences and Radiology, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada.
Bruce FischlDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Andre van der KouweDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Kristin SchwabDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Karl G HelmerDepartment of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Steven M GreenbergDepartment of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
MarkVCID Consortium
Harvard University · USMassachusetts General Hospital · USJohns Hopkins University · USUniversity of California, Davis · USUniversity of Southern California · USIllinois Institute of Technology · USMind Research Network · USNational Institute of Neurological Disorders and Stroke · USThe University of Texas Health Science Center at San Antonio · USUniversity of Calgary · CAUniversity of California, San Francisco · USUniversity of Kentucky · US

Funding

South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
University of Kentucky Alzheimer's Disease Research CenterP30AG072946 · NIA · UNIVERSITY OF KENTUCKY · PI LINDA J VAN ELDIK · 2021 to 2026
$23.5M
University of Kentucky Alzheimer's Disease Core Center - Biomarker CoreP30AG028383 · NIA · UNIVERSITY OF KENTUCKY · PI SCHMITT, FREDERICK · 2006 to 2020
$23.3M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
VCID Biomarkers Coordinating CenterU24NS100591 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Steven M Greenberg · 2016 to 2026
$19.8M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
TRD 4: Platforms for multi-modal and multi-scale imaging dataP41EB031771 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI Hanzhang Lu, Peter CM Van Zijl · 2021 to 2026
$9.9M
Multidimensional Assessment of Brain Health as A Marker of Dementia Risk and ResilienceR01AG066524 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KASHANI, AMIR H, RAMACHANDRAN, VASAN S · 2020 to 2024
$9.7M
Imaging and Analysis Techniques to Construct a Cell Census Atlas of the Human Brain Admin SupplementU01MH117023 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI BOAS, DAVID A, FISCHL, BRUCE · 2018 to 2022
$7.6M
A Longitudinal Analysis Stream for FreeSurferR01NS083534 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Bruce Fischl · 2014 to 2026
$4.6M
THE UNIVERSITY OF TEXAS HOUSTON STROKE TRAINING PROGRAMT32NS007412 · NINDS · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SAVITZ, SEAN I · 1998 to 2023
$4.6M
Imaging Cerebral and Retinal Microvasculature in Cerebral Small Vessel DiseaseUH3NS100614 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI KASHANI, AMIR H, WANG, DANNY JJ · 2018 to 2020
$4.3M
NIA NIH HHS P30 AG028383NIA NIH HHS P30 AG066546NIA NIH HHS P30 AG072946NIA NIH HHS R01 AG054076NIA NIH HHS R01 AG066524NIA NIH HHS U01 AG052409NIBIB NIH HHS P41 EB031771NIBIB NIH HHS R01 EB019956NIMH NIH HHS U01 MH117023NINDS NIH HHS R01 NS017950NINDS NIH HHS R01 NS083534NINDS NIH HHS R01 NS105820NINDS NIH HHS T32 NS007412NINDS NIH HHS U01 NS125513NINDS NIH HHS U24 NS100591NINDS NIH HHS UF1 NS100599NINDS NIH HHS UF1 NS100614NINDS NIH HHS UF1 NS125513NINDS NIH HHS UH2 NS100588NINDS NIH HHS UH2 NS100598NINDS NIH HHS UH2 NS100599NINDS NIH HHS UH2 NS100605NINDS NIH HHS UH2 NS100606NINDS NIH HHS UH2 NS100608NINDS NIH HHS UH2 NS100614NINDS NIH HHS UH3 NS100599NINDS NIH HHS UH3 NS100614
6 · The paper itself

Abstract

The MarkVCID consortium was formed under cooperative agreements with the National Institute of Neurologic Diseases and Stroke (NINDS) and National Institute on Aging (NIA) in 2016 with the goals of developing and validating biomarkers for the cerebral small vessel diseases associated with the vascular contributions to cognitive impairment and dementia (VCID). Rigorously validated biomarkers have consistently been identified as crucial for multicenter studies to identify effective strategies to prevent and treat VCID, specifically to detect increased VCID risk, diagnose the presence of small vessel disease and its subtypes, assess prognosis for disease progression or response to treatment, demonstrate target engagement or mechanism of action for candidate interventions, and monitor disease progression during treatment. The seven project sites and central coordinating center comprising MarkVCID, working with NINDS and NIA, identified a panel of 11 candidate fluid- and neuroimaging-based biomarker kits and established harmonized multicenter study protocols (see companion paper "MarkVCID cerebral small vessel consortium: I. Enrollment, clinical, fluid protocols" for full details). Here we describe the MarkVCID neuroimaging protocols with specific focus on validating their application to future multicenter trials. MarkVCID procedures for participant enrollment; clinical and cognitive evaluation; and collection, handling, and instrumental validation of fluid samples are described in detail in a companion paper. Magnetic resonance imaging (MRI) has long served as the neuroimaging modality of choice for cerebral small vessel disease and VCID because of its sensitivity to a wide range of brain properties, including small structural lesions, connectivity, and cerebrovascular physiology. Despite MRI's widespread use in the VCID field, there have been relatively scant data validating the repeatability and reproducibility of MRI-based biomarkers across raters, scanner types, and time intervals (collectively defined as instrumental validity). The MRI protocols described here address the core MRI sequences for assessing cerebral small vessel disease in future research studies, specific sequence parameters for use across various research scanner types, and rigorous procedures for determining instrumental validity. Another candidate neuroimaging modality considered by MarkVCID is optical coherence tomography angiography (OCTA), a non-invasive technique for directly visualizing retinal capillaries as a marker of the cerebral capillaries. OCTA has theoretical promise as a unique opportunity to visualize small vessels derived from the cerebral circulation, but at a considerably earlier stage of development than MRI. The additional OCTA protocols described here address procedures for determining OCTA instrumental validity, evaluating sources of variability such as pupil dilation, and handling data to maintain participant privacy. MRI protocol and instrumental validation The core sequences selected for the MarkVCID MRI protocol are three-dimensional T1-weighted multi-echo magnetization-prepared rapid-acquisition-of-gradient-echo (ME-MPRAGE), three-dimensional T2-weighted fast spin echo fluid-attenuated-inversion-recovery (FLAIR), two-dimensional diffusion-weighted spin-echo echo-planar imaging (DWI), three-dimensional T2*-weighted multi-echo gradient echo (3D-GRE), three-dimensional T

Indexed as

BiomarkersAgedAngiographyBrainCerebral Small Vessel DiseasesCognitive DysfunctionFemaleHumansMagnetic Resonance ImagingMaleNeuroimagingTomography, Optical CoherenceBiomarkersacquisition protocolbiomarkermagnetic resonance imagingoptical computed tomography angiographyquality assurancesmall vessel diseasevascular contributions to cognitive impairment and dementia

Identifiers

PMID33480157
PMCPMC8627001
OpenAlexW3125485613

What OpenQuestion holds

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Registered trials

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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.