Evidence map›Paper›PMID 32425831›Full record

ArticleFrontiers in psychiatry2020

Age-Related Changes of Peak Width Skeletonized Mean Diffusivity (PSMD) Across the Adult Lifespan: A Multi-Cohort Study.

Grégory Beaudet, Ami Tsuchida, Laurent Petit, Christophe Tzourio, Svenja Caspers, Jan Schreiber, Zdenka Pausova, Yash Patel, Tomas Paus, Reinhold Schmidt and 16 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–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

41 citing papers in PubMed.

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  11. Pulse Pressure Impairs Cognition via White Matter Disruption.Hypertension (Dallas, Tex. : 1979) · 2025
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  19. 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
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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

26 authors.

Grégory BeaudetInstitute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.
Ami TsuchidaInstitute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.
Laurent PetitInstitute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.
Christophe TzourioBordeaux Population Health Research Center, Inserm, Bordeaux, France.
Svenja CaspersInstitute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany.
Jan SchreiberInstitute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany.
Zdenka PausovaResearch Institute, The Hospital for Sick Children, Toronto, ON, Canada.
Yash PatelResearch Institute, The Hospital for Sick Children, Toronto, ON, Canada.
Tomas PausBloorview Research Institute, Holland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Reinhold SchmidtDepartment of Neurology, Medical University of Graz, Graz, Austria.
Lukas PirpamerDepartment of Neurology, Medical University of Graz, Graz, Austria.
Perminder S SachdevCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.
Henry BrodatyCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.
Nicole KochanCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.
Julian TrollorCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.
Wei WenCentre for Healthy Brain Ageing (CHeBA), School of Psychiatry, UNSW Medicine, University of New South Wales, Sydney, NSW, Australia.
Nicola J ArmstrongMathematics and Statistics, Murdoch University, Perth, WA, Australia.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
Susana Munõz ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom.
A Veronica WitteDepartmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Arno VillringerDepartmet of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Marco DueringInstitute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Munich, Germany.
Stéphanie DebetteInstitute of Neurodegenerative Diseases (IMN), University of Bordeaux, Bordeaux, France.
Bernard MazoyerInstitute of Neurodegenerative Diseases (IMN), CNRS, CEA, Bordeaux, France.

Funding

Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/M013111/1Medical Research Council MR/N027558/1Medical Research Council MR/R024065/1
6 · The paper itself

Abstract

Parameters of water diffusion in white matter derived from diffusion-weighted imaging (DWI), such as fractional anisotropy (FA), mean, axial, and radial diffusivity (MD, AD, and RD), and more recently, peak width of skeletonized mean diffusivity (PSMD), have been proposed as potential markers of normal and pathological brain ageing. However, their relative evolution over the entire adult lifespan in healthy individuals remains partly unknown during early and late adulthood, and particularly for the PSMD index. Here, we gathered and analyzed cross-sectional diffusion tensor imaging (DTI) data from 10 population-based cohort studies in order to establish the time course of white matter water diffusion phenotypes from post-adolescence to late adulthood. DTI data were obtained from a total of 20,005 individuals aged 18.1 to 92.6 years and analyzed with the same pipeline for computing skeletonized DTI metrics from DTI maps. For each individual, MD, AD, RD, and FA mean values were computed over their FA volume skeleton, PSMD being calculated as the 90% peak width of the MD values distribution across the FA skeleton. Mean values of each DTI metric were found to strongly vary across cohorts, most likely due to major differences in DWI acquisition protocols as well as pre-processing and DTI model fitting. However, age effects on each DTI metric were found to be highly consistent across cohorts. RD, MD, and AD variations with age exhibited the same U-shape pattern, first slowly decreasing during post-adolescence until the age of 30, 40, and 50 years, respectively, then progressively increasing until late life. FA showed a reverse profile, initially increasing then continuously decreasing, slowly until the 70s, then sharply declining thereafter. By contrast, PSMD constantly increased, first slowly until the 60s, then more sharply. These results demonstrate that, in the general population, age affects PSMD in a manner different from that of other DTI metrics. The constant increase in PSMD throughout the entire adult life, including during post-adolescence, indicates that PSMD could be an early marker of the ageing process.

Indexed as

ageingdiffusionMRIneurodegenerationPSMDwhite matter

Identifiers

PMID32425831
PMCPMC7212692

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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.