Evidence map›Paper›PMID 26936939›Full record

ArticleBrain : a journal of neurology2016

Longitudinal patterns of leukoaraiosis and brain atrophy in symptomatic small vessel disease.

Christian Lambert, Philip Benjamin, Eva Zeestraten, Andrew J Lawrence, Thomas R Barrick, Hugh S Markus

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed
12.2field-weighted citation impact, top 1% 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

93 citing papers in PubMed, 152 citations in OpenAlex.

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  2. The association between lacunes and white matter hyperintensity features on MRI: The SMART-MR study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
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33 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

6 authors at 3 institutions in 1 country.

Christian LambertNeurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK clambert112358@gmail.com.
Philip BenjaminNeurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK Department of Radiology, Charing Cross Campus, Imperial College NHS Trust, London W6 8RP, UK.
Eva ZeestratenNeurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK.
Andrew J LawrenceStroke Research Group, Division of Clinical Neurosciences, University of Cambridge, CB2 0QQ, UK.
Thomas R BarrickNeurosciences Research Centre, Cardiovascular and Cell Sciences Research Institute, St George's University of London, SW17 0RE, UK.
Hugh S MarkusStroke Research Group, Division of Clinical Neurosciences, University of Cambridge, CB2 0QQ, UK.
St George's, University of London · GBUniversity of Cambridge · GBCharing Cross Hospital · GB

Funding

Department of HealthWellcome Trust 081589
6 · The paper itself

Abstract

Cerebral small vessel disease is a common condition associated with lacunar stroke, cognitive impairment and significant functional morbidity. White matter hyperintensities and brain atrophy, seen on magnetic resonance imaging, are correlated with increasing disease severity. However, how the two are related remains an open question. To better define the relationship between white matter hyperintensity growth and brain atrophy, we applied a semi-automated magnetic resonance imaging segmentation analysis pipeline to a 3-year longitudinal cohort of 99 subjects with symptomatic small vessel disease, who were followed-up for ≥1 years. Using a novel two-stage warping pipeline with tissue repair step, voxel-by-voxel rate of change maps were calculated for each tissue class (grey matter, white matter, white matter hyperintensities and lacunes) for each individual. These maps capture both the distribution of disease and spatial information showing local rates of growth and atrophy. These were analysed to answer three primary questions: first, is there a relationship between whole brain atrophy and magnetic resonance imaging markers of small vessel disease (white matter hyperintensities or lacune volume)? Second, is there regional variation within the cerebral white matter in the rate of white matter hyperintensity progression? Finally, are there regionally specific relationships between the rates of white matter hyperintensity progression and cortical grey matter atrophy? We demonstrate that the rates of white matter hyperintensity expansion and grey matter atrophy are strongly correlated (Pearson's R = -0.69, P < 1 × 10(-7)), and significant grey matter loss and whole brain atrophy occurs annually (P < 0.05). Additionally, the rate of white matter hyperintensity growth was heterogeneous, occurring more rapidly within long association fasciculi. Using voxel-based quantification (family-wise error corrected P < 0.05), we show the rate of white matter hyperintensity progression is associated with increases in cortical grey matter atrophy rates, in the medial-frontal, orbito-frontal, parietal and occipital regions. Conversely, increased rates of global grey matter atrophy are significantly associated with faster white matter hyperintensity growth in the frontal and parietal regions. Together, these results link the progression of white matter hyperintensities with increasing rates of regional grey matter atrophy, and demonstrate that grey matter atrophy is the major contributor to whole brain atrophy in symptomatic cerebral small vessel disease. These measures provide novel insights into the longitudinal pathogenesis of small vessel disease, and imply that therapies aimed at reducing progression of white matter hyperintensities via end-arteriole damage may protect against secondary brain atrophy and consequent functional morbidity.

Indexed as

Disease ProgressionAgedAged, 80 and overAtrophyBrainCerebral Small Vessel DiseasesCohort StudiesFemaleFollow-Up StudiesHumansLeukoaraiosisLongitudinal StudiesMaleMiddle AgedProspective Studiesatrophylongitudinalsmall vessel diseasevoxel-based quantificationwhite matter hyperintensities

Identifiers

PMID26936939
PMCPMC4806220
OpenAlexW2291469492

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.