Evidence map›Paper›PMID 36368498›Full record

ArticleNeuroImage2022

Cortical myelin profile variations in healthy aging brain: A T1w/T2w ratio study.

Yu Veronica Sui, Arjun V Masurkar, Henry Rusinek, Barry Reisberg, Mariana Lazar

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

23 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  6. Review
  7. Article
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  9. Article
  10. Article
  11. Article
  12. Association between cardiorespiratory fitness and total brain myelin volume among older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. So You Want to Image Myelin Using MRI: Magnetic Susceptibility Source Separation for Myelin Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Review
  18. Article
  19. Article
  20. Aging Brain from a Lifespan Perspective.Current topics in behavioral neurosciences · 2024
    Review
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

5 authors at 2 institutions in 1 country.

Yu Veronica SuiDepartment of Radiology, NYU Grossman School of Medicine, 660 1st Ave, rm440, New York, NY 10016, USA. Electronic address: veronica.suiyu@nyu.edu.
Arjun V MasurkarDepartment of Neurology, Center for Cognitive Neurology, NYU Grossman School of Medicine, New York, NY, USA; Department of Neuroscience and Physiology, NYU Grossman School of Medicine, New York, NY, USA; Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA.
Henry RusinekDepartment of Radiology, NYU Grossman School of Medicine, 660 1st Ave, rm440, New York, NY 10016, USA; Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA.
Barry ReisbergDepartment of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA.
Mariana LazarDepartment of Radiology, NYU Grossman School of Medicine, 660 1st Ave, rm440, New York, NY 10016, USA.
New York University · USCenter for Neuro-Oncology · US

Funding

PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI RUSINEK, HENRY · 1990 to 2019
$36.1M
Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
TR&D 4: Revealing Microstructure: Biophysical modeling and validation for discovery and clinical careP41EB017183 · NIBIB · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Daniel K Sodickson · 2014 to 2026
$19.3M
MAPPING THE HUMAN CONNECTOME DURING TYPICAL AGINGU01AG052564 · NIA · WASHINGTON UNIVERSITY · PI SALAT, DAVID H, TERPSTRA, MELISSA J · 2016 to 2020
$18.9M
NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG066512NIA NIH HHS U01 AG052564NIBIB NIH HHS P41 EB017183
6 · The paper itself

Abstract

Demyelination is observed in both healthy aging and age-related neurodegenerative disorders. While the significance of myelin within the cortex is well acknowledged, studies focused on intracortical demyelination and depth-specific structural alterations in normal aging are lacking. Using the recently available Human Connectome Project Aging dataset, we investigated intracortical myelin in a normal aging population using the T1w/T2w ratio. To capture the fine changes across cortical depths, we employed a surface-based approach by constructing cortical profiles traveling perpendicularly through the cortical ribbon and sampling T1w/T2w values. The curvatures of T1w/T2w cortical profiles may be influenced by differences in local myeloarchitecture and other tissue properties, which are known to vary across cortical regions. To quantify the shape of these profiles, we parametrized the level of curvature using a nonlinearity index (NLI) that measures the deviation of the profile from a straight line. We showed that NLI exhibited a steep decline in aging that was independent of local cortical thinning. Further examination of the profiles revealed that lower T1w/T2w near the gray-white matter boundary and superficial cortical depths were major contributors to the apparent NLI variations with age. These findings suggest that demyelination and changes in other T1w/T2w related tissue properties in normal aging may be depth-specific and highlight the potential of NLI as a unique marker of microstructural alterations within the cerebral cortex.

Indexed as

Magnetic Resonance ImagingMyelin SheathAgedBrainCerebral CortexGray MatterHumansAgingCerebral cortexMagnetic resonance imagingMyelin sheath

Identifiers

PMID36368498
PMCPMC9904172
OpenAlexW4308518076

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.