Evidence map›Paper›PMID 39667399›Full record

ArticleNMR in biomedicine2025

Different Grey Matter Microstructural Patterns in Cognitively Healthy Versus Typical Ageing Healthy Versus Typical Brain Ageing.

Pavel Filip, J Riley McCarten, Laura Hemmy, Jillian Crocker, Michael Wolf, Jeromy Thotland, Zuzan Cayci, Shalom Michaeli, Lynn E Eberly, Melissa Terpstra and 1 more

Erratum issuedAbstract readComparative Study
In one paragraph

Article in NMR in biomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Pavel FilipCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-5656-5164
J Riley McCartenGeriatric Research, Education and Clinical Center, Veterans Affairs Medical Center, Minneapolis, Minnesota, USA.
Laura HemmyGeriatric Research, Education and Clinical Center, Veterans Affairs Medical Center, Minneapolis, Minnesota, USA.
Jillian CrockerCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Michael WolfCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Jeromy ThotlandCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Zuzan CayciDepartment of Radiology, University of Minnesota, Minneapolis, Minnesota, USA.
Shalom MichaeliCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Lynn E EberlyCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Melissa TerpstraCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.
Silvia MangiaCenter for Magnetic Resonance Research (CMRR), University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-6341-4516

Funding

MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
Linking Connectomics to Biochemical Trajectories of Aging: How the Human BrainAges Differentially in Key Regions of the Default Mode NetworkR01AG055591 · NIA · UNIVERSITY OF MISSOURI-COLUMBIA · PI MANGIA, SILVIA, TERPSTRA, MELISSA J · 2017 to 2021
$3.4M
Brain Dynamics CZ.02.01.01/00/22_008/0004643Charles University, Czech RepublicGeneral University Hospital in Prague MH CZ-DRO-VFN64165NIA NIH HHS R01 AG055591NIA NIH HHS U01 AG052564NIBIB NIH HHS P41 EB027061NIH HHS P41 EB027061NIH HHS R01 AG055591NIH HHS U01AG052564
6 · The paper itself

Abstract

Ageing is a complex phenomenon affecting a wide range of coexisting biological processes. The homogeneity of the studied population is an essential parameter for valid interpretations of outcomes. The presented study capitalises on the MRI data available in the Human Connectome Project-Aging (HCP-A) and, within individuals over 55 years of age who passed the HCP-A section criteria, compares a subgroup of 37 apparently neurocognitively healthy individuals selected based on stringent criteria with 37 age and sex-matched individuals still representative of typical ageing but who did not pass the stringent definition of neurocognitively healthy. Specifically, structural scans, diffusion weighted imaging and T1w/T2w ratio were utilised. Furthermore, data of 26 HCP-A participants older than 90 years as notional 'super-agers' were analysed. The relationship of age and several microstructural MRI metrics (T1w/T2w ratio, mean diffusivity, intracellular volume fraction and free water volume fraction) differed significantly between typical and healthy ageing cohort in areas highly relevant for ageing such as hippocampus, prefrontal and temporal cortex and cerebellum. However, the trajectories of the healthy ageing population did not show substantially better overlap with the findings in people older than 90 than those of the typical population. Therefore, caution must be exercised in the choice of adequate study group characteristics relevant for respective ageing-related hypotheses. Contrary to typical ageing group, the healthy ageing cohort may show generally stable levels of several MRI metrics of interest.

Indexed as

AgingCognitionGray MatterAgedAged, 80 and overBrainFemaleHealthy AgingHumansMagnetic Resonance ImagingMaleMiddle AgedHCP‐Ahealthy ageingMRItypical ageing

Identifiers

PMID39667399
PMCPMC11637651

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.