Evidence map›Paper›PMID 34704219›Full record

ArticleGeroScience2022

Older age, male sex, and cerebral microbleeds predict white matter loss after traumatic brain injury.

David J Robles, Ammar Dharani, Kenneth A Rostowsky, Nikhil N Chaudhari, Van Ngo, Fan Zhang, Lauren J O'Donnell, Lauren Green, Nasim Sheikh-Bahaei, Helena C Chui and 1 more

Open access · greenAbstract read
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
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  4. Deep learning to quantify the pace of brain aging in relation to neurocognitive changes.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

11 authors at 2 institutions in 1 country.

David J RoblesEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
Ammar DharaniEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
Kenneth A RostowskyEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
Nikhil N ChaudhariEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
Van NgoEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA.
Fan ZhangDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Lauren J O'DonnellDepartment of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Lauren GreenDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
Nasim Sheikh-BahaeiDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
Helena C ChuiDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, 90033, USA.
Andrei IrimiaEthel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, 90089, USA. irimia@usc.edu.ORCID 0000-0002-9254-9388
University of Southern California · USBrigham and Women's Hospital · US

Funding

USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI, ARTHUR W TOGA · 2020 to 2026
$27.8M
Training and DisseminationP41EB015902 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI PUJOL, SONIA · 2012 to 2022
$20.9M
Image Guided Therapy Center - Ultrasound-based sensor system for the monitoring of COVID-19 patientsP41EB015898 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI TEMPANY, CLARE M · 2012 to 2021
$18.9M
TRD 3 - Enabling Technologies for Intraprocedural GuidanceP41EB028741 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI Nobuhiko Hata, CLARE M TEMPANY · 2021 to 2026
$10.7M
Novel DT-MRI Analyses of White Matter in SchizophreniaR01MH074794 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI WESTIN, CARL-FREDRIK · 2007 to 2021
$9.6M
Mapping the superficial white matter connectome of the human brain using ultra high resolution multi-contrast diffusion MRIR01MH125860 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI MAKRIS, NIKOLAOS, O'DONNELL, LAUREN JEAN · 2021 to 2025
$4.1M
Harmonizing multi-site diffusion MRI acquisitions for neuroscientific analysis across ages and brain disordersR01MH119222 · NIMH · BRIGHAM AND WOMEN'S HOSPITAL · PI O'DONNELL, LAUREN JEAN, RATHI, YOGESH · 2019 to 2023
$4.0M
Effects of blood-brain barrier disruption upon white matter connectivity subsequent to traumatic brain injuryR01NS100973 · NINDS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI IRIMIA, ANDREI · 2017 to 2021
$1.6M
NIA NIH HHS P30 AG066530NIBIB NIH HHS P41 EB015898NIBIB NIH HHS P41 EB015902NIBIB NIH HHS P41 EB028741NIMH NIH HHS R01 MH074794NIMH NIH HHS R01 MH119222NIMH NIH HHS R01 MH125860NINDS NIH HHS R01 NS100973
6 · The paper itself

Abstract

Little is known on how mild traumatic brain injury affects white matter based on age at injury, sex, cerebral microbleeds, and time since injury. Here, we study the fractional anisotropy of white matter to study these effects in 109 participants aged 18-77 (46 females, age μ ± σ = 40 ± 17 years) imaged within [Formula: see text] 1 week and [Formula: see text] 6 months post-injury. Age is found to be linearly associated with white matter degradation, likely due not only to injury but also to cumulative effects of other pathologies and to their interactions with injury. Age is associated with mean anisotropy decreases in the corpus callosum, middle longitudinal fasciculi, inferior longitudinal and occipitofrontal fasciculi, and superficial frontal and temporal fasciculi. Over [Formula: see text] 6 months, the mean anisotropies of the corpus callosum, left superficial frontal fasciculi, and left corticospinal tract decrease significantly. Independently of other predictors, age and cerebral microbleeds contribute to anisotropy decrease in the callosal genu. Chronically, the white matter of commissural tracts, left superficial frontal fasciculi, and left corticospinal tract degrade appreciably, independently of other predictors. Our findings suggest that large commissural and intra-hemispheric structures are at high risk for post-traumatic degradation. This study identifies detailed neuroanatomic substrates consistent with brain injury patients' age-dependent deficits in information processing speed, interhemispheric communication, motor coordination, visual acuity, sensory integration, reading speed/comprehension, executive function, personality, and memory. We also identify neuroanatomic features underlying white matter degradation whose severity is associated with the male sex. Future studies should compare our findings to functional measures and other neurodegenerative processes.

Indexed as

Brain Injuries, TraumaticWhite MatterAgedCerebral HemorrhageCorpus CallosumDiffusion Tensor ImagingFemaleHumansMaleDiffusion tensor imagingExecutive functionFractional anisotropySensory integrationSusceptibility-weighted imaging

Identifiers

PMID34704219
PMCPMC8811069
OpenAlexW3210163757

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.