Evidence map›Paper›PMID 37455933›Full record

ArticleFrontiers in aging neuroscience2023

Changes in white matter functional networks across late adulthood.

Muwei Li, Yurui Gao, Richard D Lawless, Lyuan Xu, Yu Zhao, Kurt G Schilling, Zhaohua Ding, Adam W Anderson, Bennett A Landman, John C Gore

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. White-Matter BOLD Encoding Beyond Marginal Connectivity.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Distributed fMRI Patterns Coupled to Low-Frequency Cardiorespiratory Dynamics Provide Markers of Aging.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
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

10 authors.

Muwei LiVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Yurui GaoVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Richard D LawlessVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Lyuan XuVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Yu ZhaoVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Kurt G SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Zhaohua DingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Adam W AndersonVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.
John C GoreVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, United States.

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
Resting State Connectivity in White MatterR01NS093669 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2016 to 2020
$2.7M
Biophysical basis of functional MRI of white matterR01NS113832 · NINDS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C · 2020 to 2024
$2.4M
DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASER01AG043434 · NIA · WASHINGTON UNIVERSITY · PI ROE, CATHERINE M · 2012 to 2016
$2.4M
Secondary analysis of functional MRI and resting state connectivity in white matterRF1MH123201 · NIMH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORE, JOHN C, LANDMAN, BENNETT A. · 2021 to 2021
$1.3M
Microstructure and connectivity modeling from the cortex to the spinal cord in Multiple SclerosisK01EB032898 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SCHILLING, KURT G · 2022 to 2025
$630k
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002243NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG043434NIBIB NIH HHS K01 EB032898NIBIB NIH HHS R01 EB009352NICHD NIH HHS P50 HD103537NIMH NIH HHS RF1 MH123201NINDS NIH HHS R01 NS093669NINDS NIH HHS R01 NS113832
6 · The paper itself

Abstract

Introduction: The aging brain is characterized by decreases in not only neuronal density but also reductions in myelinated white matter (WM) fibers that provide the essential foundation for communication between cortical regions. Age-related degeneration of WM has been previously characterized by histopathology as well as T2 FLAIR and diffusion MRI. Recent studies have consistently shown that BOLD (blood oxygenation level dependent) effects in WM are robustly detectable, are modulated by neural activities, and thus represent a complementary window into the functional organization of the brain. However, there have been no previous systematic studies of whether or how WM BOLD signals vary with normal aging. We therefore performed a comprehensive quantification of WM BOLD signals across scales to evaluate their potential as indicators of functional changes that arise with aging. Methods: By using spatial independent component analysis (ICA) of BOLD signals acquired in a resting state, WM voxels were grouped into spatially distinct functional units. The functional connectivities (FCs) within and among those units were measured and their relationships with aging were assessed. On a larger spatial scale, a graph was reconstructed based on the pair-wise connectivities among units, modeling the WM as a complex network and producing a set of graph-theoretical metrics. Results: The spectral powers that reflect the intensities of BOLD signals were found to be significantly affected by aging across more than half of the WM units. The functional connectivities (FCs) within and among those units were found to decrease significantly with aging. We observed a widespread reduction of graph-theoretical metrics, suggesting a decrease in the ability to exchange information between remote WM regions with aging. Discussion: Our findings converge to support the notion that WM BOLD signals in specific regions, and their interactions with other regions, have the potential to serve as imaging markers of aging.

Indexed as

BOLDfMRIICAnormal aging brainresting statewhite matter (WM)

Identifiers

PMID37455933
PMCPMC10347529

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Registered trials

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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.