Evidence map›Paper›PMID 37292885›Full record

ArticlebioRxiv : the preprint server for biology2023

Leveraging longitudinal diffusion MRI data to quantify differences in white matter microstructural decline in normal and abnormal aging.

Derek B Archer, Kurt Schilling, Niranjana Shashikumar, Varuna Jasodanand, Elizabeth E Moore, Kimberly R Pechman, Murat Bilgel, Lori L Beason-Held, Yang An, Andrea Shafer and 9 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Derek B ArcherVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Kurt SchillingVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Niranjana ShashikumarVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Varuna JasodanandVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Elizabeth E MooreVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Kimberly R PechmanVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Murat BilgelLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Lori L Beason-HeldLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Yang AnLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Andrea ShaferLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Luigi FerrucciNational Institute on Aging, Baltimore, MD, USA.
Shannon L RisacherIndiana University School of Medicine, Indianapolis, IN, USA.
Katherine A GiffordVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Bennett A LandmanVanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.
Angela L JeffersonVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Andrew J SaykinIndiana University School of Medicine, Indianapolis, IN, USA.
Susan M ResnickLaboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA.
Timothy J HohmanVanderbilt Memory and Alzheimer's Center, Vanderbilt University School of Medicine, Nashville, TN, USA.
Alzheimer’s Disease Neuroimaging Initiative

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
Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
MVP Data Integration into the ADSP Phenotype Harmonization ConsortiumU24AG074855 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CUCCARO, MICHAEL L, HOHMAN, TIMOTHY J · 2021 to 2025
$37.5M
Neuroimaging Predictors of Cognitive Decline, Impairment, and ResilienceZIAAG000191 · NIA · NATIONAL INSTITUTE ON AGING · PI FERRUCCI, LUIGI · 2009 to 2025
$26.4M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Vanderbilt Memory & Aging ProjectR01AG034962 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JEFFERSON, ANGELA L. · 2011 to 2025
$24.1M
Genetic Drivers of Resilience to Alzheimer's DiseaseR01AG059716 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HOHMAN, TIMOTHY J · 2018 to 2022
$4.4M
Subjective Cognitive Decline in OIder AdultsR01AG062826 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GIFFORD, KATHERINE A., JEFFERSON, ANGELA L. · 2020 to 2024
$4.1M
White matter and small vessel disease in older adultsR01AG056534 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI JEFFERSON, ANGELA L. · 2017 to 2021
$3.2M
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 TR000445NCATS NIH HHS UL1 TR002243NIA NIH HHS F30 AG064847NIA NIH HHS K01 AG073584NIA NIH HHS L30 AG060964NIA NIH HHS R01 AG034962NIA NIH HHS R01 AG056534NIA NIH HHS R01 AG059716NIA NIH HHS R01 AG062826NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886NIA NIH HHS U24 AG074855NIBIB NIH HHS K01 EB032898NIGMS NIH HHS T32 GM007347NIH HHS S10 OD023680
6 · The paper itself

Abstract

introductionIt is unclear how rates of white matter microstructural decline differ between normal aging and abnormal aging.

methodsDiffusion MRI data from several well-established longitudinal cohorts of aging [Alzheimer's Neuroimaging Initiative (ADNI), Baltimore Longitudinal Study of Aging (BLSA), Vanderbilt Memory & Aging Project (VMAP)] was free-water corrected and harmonized. This dataset included 1,723 participants (age at baseline: 72.8±8.87 years, 49.5% male) and 4,605 imaging sessions (follow-up time: 2.97±2.09 years, follow-up range: 1-13 years, mean number of visits: 4.42±1.98). Differences in white matter microstructural decline in normal and abnormal agers was assessed.

resultsWhile we found global decline in white matter in normal/abnormal aging, we found that several white matter tracts (e.g., cingulum bundle) were vulnerable to abnormal aging.

conclusionsThere is a prevalent role of white matter microstructural decline in aging, and future large-scale studies in this area may further refine our understanding of the underlying neurodegenerative processes. HIGHLIGHTS: Longitudinal data was free-water corrected and harmonizedGlobal effects of white matter decline were seen in normal and abnormal agingThe free-water metric was most vulnerable to abnormal agingCingulum free-water was the most vulnerable to abnormal aging.

Identifiers

PMID37292885
PMCPMC10245725

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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.