Evidence map›Paper›PMID 36440281›Full record

ArticleFrontiers in neuroscience2022

Peak width of skeletonized mean diffusivity in cerebral amyloid angiopathy: Spatial signature, cognitive, and neuroimaging associations.

Maria Clara Zanon Zotin, Dorothee Schoemaker, Nicolas Raposo, Valentina Perosa, Martin Bretzner, Lukas Sveikata, Qi Li, Susanne J van Veluw, Mitchell J Horn, Mark R Etherton and 7 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 19 citations in OpenAlex.

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  8. White matter hyperintensity spatial patterns: Risk factors and clinical correlates.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  11. Microstructural white matter damage on MRI is associated with disease severity in Dutch-type cerebral amyloid angiopathy.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
    Article
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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

17 authors at 9 institutions in 7 countries.

Maria Clara Zanon ZotinJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Dorothee SchoemakerDepartment of Psychiatry, Harvard Medical School, Massachusetts General Hospital, Boston, MA, United States.
Nicolas RaposoToulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
Valentina PerosaGerman Center for Neurodegenerative Disease, Magdeburg, Germany.
Martin BretznerJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Lukas SveikataJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Qi LiThe First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Susanne J van VeluwJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Mitchell J HornJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Mark R EthertonJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Andreas CharidimouJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
M Edip GurolJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Steven M GreenbergJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Marco DueringDepartment of Biomedical Engineering, Medical Imaging Analysis Center (MIAC), University of Basel, Basel, Switzerland.
Antonio Carlos Dos SantosCenter for Imaging Sciences and Medical Physics, Department of Medical Imaging, Hematology and Clinical Oncology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Octavio M Pontes-NetoDepartment of Neuroscience and Behavioral Sciences, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.
Anand ViswanathanJ. Philip Kistler Stroke Research Center, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Harvard University · USUniversidade de São Paulo · BRMassachusetts General Hospital · USBoston University · USCentre de Recherche Jean Pierre Aubert · FRGerman Center for Neurodegenerative Diseases · DEThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversity of Basel · CH

Funding

Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Christine S Ritchie · 2019 to 2026
$36.5M
NIA NIH HHS P30 AG062421
6 · The paper itself

Abstract

Background: Peak width of skeletonized mean diffusivity (PSMD) is a promising diffusion tensor imaging (DTI) marker that shows consistent and strong cognitive associations in the context of different cerebral small vessel diseases (cSVD). Purpose: Investigate whether PSMD (1) is higher in patients with Cerebral Amyloid Angiopathy (CAA) than those with arteriolosclerosis; (2) can capture the anteroposterior distribution of CAA-related abnormalities; (3) shows similar neuroimaging and cognitive associations in comparison to other classical DTI markers, such as average mean diffusivity (MD) and fractional anisotropy (FA). Materials and methods: We analyzed cross-sectional neuroimaging and neuropsychological data from 90 non-demented memory-clinic subjects from a single center. Based on MRI findings, we classified them into probable-CAA (those that fulfilled the modified Boston criteria), subjects with MRI markers of cSVD not attributable to CAA (presumed arteriolosclerosis; cSVD), and subjects without evidence of cSVD on MRI (non-cSVD). We compared total and lobe-specific (frontal and occipital) DTI metrics values across the groups. We used linear regression models to investigate how PSMD, MD, and FA correlate with conventional neuroimaging markers of cSVD and cognitive scores in CAA. Results: PSMD was comparable in probable-CAA (median 4.06 × 10 Conclusion: PSMD is a promising biomarker of cognitive impairment in CAA that outperforms other conventional and DTI-based neuroimaging markers. Although global PSMD is similarly increased in different forms of cSVD, PSMD's spatial variations could potentially provide insights into the predominant type of underlying microvascular pathology.

Indexed as

cerebral amyloid angiopathycerebral small vessel diseasedementiadiffusion tensor imagingdiffusion-weighted imagingvascular cognitive impairment

Identifiers

PMID36440281
PMCPMC9693722
OpenAlexW4308800375

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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.