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Neuroanatomical patterns of dementia risk in autism spectrum disorder.

Code ↔ Paper

1 match between paragraphs of the paper and lines of its authors' code, computed by the harvester (lexical-v1). Click a colored paragraph or line to see its counterpart.

The 1 match · it ties a paragraph to a whole file, not to given lines: a weak match, whose lines are not tinted
  1. [1] § Methods › Brain-age ↔ collate_brain_ages.sh, the whole file · a weak match · score 0.51 · College London, brainageR, predicted

Paper

Loaded from Europe PMC by your browser, not stored by OSCR: doi.org · Europe PMC

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The authors' code

Shell · 23 lines · 678 B · LGPL-3.0 · 1 match

  1. #!/bin/bash
  2. ## brainageR script for collating brain predicted age results within a single directory
  3. ## James Cole, King's College London [email hidden]
  4. ## software version 1.0 09 Aug 2018
  5. directory=$1
  6. output_name=$2
  8. if [ "$#" -ne 2 ]; then
  9. echo "You must specify two arguments, collate_brain_ages.sh <directory> <output.csv>"
  10. exit 1
  11. fi
  13. header=`echo File,brain.predicted_age`
  14. for i in `find $directory -type f -name \*csv | sort | xargs -I x grep -l brain.predicted_age x`; do
  15. j=`wc -l $i | awk '{print $1}'`
  16. if [ $j == 2 ]; then
  17. tail -n +2 $i >> tmp.data.file
  18. fi
  19. done
  21. echo $header > tmp.header.file
  22. cat tmp.header.file tmp.data.file > $output_name
  23. rm tmp.*.file

collate_brain_ages.sh at commit f944460, under LGPL-3.0 · at the source

Overview

Authors: Young Seon Shin1, Jingying Wang2, Stormi L Pulver3, Ann-Marie Orlando4,5,6, Regilda A Romero5,6, Carolina R Cuomo2, Isabella Valiente Lauzan1, Tyler Dentry1, Desirae J Shirley2, Danielle Christensen2, Kathryn E Unruh7,8, Cassandra J Stevens7,8, Walker S McKinney9, Matthew W Mosconi7,8, David E Vaillancourt1,10,11, Zheng Wang2, Stephen A Coombes1,11
ORCID iDs: Matthew W Mosconi
  1. Laboratory for Rehabilitation Neuroscience, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
  2. Neurocognitive and Behavioral Development Laboratory, Department of Applied Physiology and Kinesiology, University of Florida, Gainesville, FL, United States
  3. Department of Pediatrics, Emory School of Medicine, Atlanta, GA, United States
  4. Center for Autism and Related Disabilities (CARD), University of Florida, Gainesville, FL, United States
  5. UF Health Center for Autism and Neurodevelopment (UF Health CAN), University of Florida, Gainesville, FL, United States
  6. Department of Psychiatry, University of Florida, Gainesville, FL, United States
  7. Life Span Institute, Dole Human Development Center, University of Kansas, Lawrence, KS, United States
  8. Kansas Center for Autism Research and Training (K-CART), University of Kansas, Lawrence, KS, United States
  9. Department of Behavioral Medicine and Clinical Psychology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, United States
  10. Department of Neurology and McKnight Brain Institute, University of Florida, Gainesville, FL, United States
  11. Department of Biomedical Engineering, University of Florida, Gainesville, FL, United States
Institutions: University of Florida (United States); Emory University (United States); University of Florida Health (United States); University of Kansas (United States); Cincinnati Children's Hospital Medical Center (United States)
Journal: Frontiers in aging neuroscience, volume 18, article 1771822
Dates: received 19 December 2025; accepted 16 March 2026; published online 2 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3389/fnagi.2026.1771822 · PMID 42006949 · PMCID PMC13082925 · OpenAlex W7147559246
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), Alzheimer's / dementia (population), autism (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, fMRI & imaging, Preprocessing
Keywords: aging, autism spectrum disorder, cortical thickness, dementia, structure MRI
Topic: Autism Spectrum Disorder Research (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: NIA NIH HHS (R01 AG086493); NIH HHS (S10 OD021726); NINDS NIH HHS (R01 NS121120)
Citations: not cited yet (Europe PMC); 58 references in the paper

Abstract

Autism spectrum disorder (ASD) is a neurodevelopmental disorder. While previous studies have reported a high prevalence of dementia diagnoses in the ASD population, the risk of dementia-related neurodegeneration remains poorly understood. This study aimed to assess dementia-sensitive composite measures of brain structure and brain age across the lifespan in an ASD cohort (ages 7–73) to investigate neuroanatomical features linked to neurodegenerative vulnerability. The composite score and brain age were not significantly different between diagnostic groups when analyses considered the entire cohort, nor when the cohort was split into subgroups based on age. However, age-effects were found for both groups, with negative relationships revealing a decrease in cortical thickness with increasing age. Subgroup analyses showed that the same negative relationship was evident in the old NT group but was absent in the old ASD group, even when controlling for clinical factors. Our findings are consistent with the safeguard or parallel development hypothesis and suggest that conventional dementia-like structural vulnerability is not widespread and generalizable in ASD. Our observations highlight the limitations of current dementia-sensitive composites in assessing neurodegenerative risk in ASD. Developing dementia-sensitive biomarkers for autistic individuals is critical to enhance diagnostic precision and identify clinically significant biomarkers in this cohort.

Reproduced under the paper's license (CC BY), from the paper cited above.

Repository

Its files are read in the Code ↔ Paper reader above, with 1 match between paragraphs and lines of code.

james-cole/brainageR

License: LGPL-3.0
State: the link answers, verified on 26 September 2026
Evidence: files inventoried
Commit: f9444605527337b07b9a8eb2f6c8c81261aa8b61, 14 September 2026
Languages: Shell (5), R (1), MATLAB (1)
Size: 25 files, 7 scripts
Software Heritage: not archived
Found in: the text
Holds: README, license file
Not found: CITATION.cff, environment file, tests, continuous integration, documentation
Tools: FSL (3 files), RNifti (1 file), SPM (1 file), tidyverse (1 file)
Availability: 1 check, the latest on 26 September 2026: the link answers
  • 26 September 2026: the link answers
9 files
At the source: github.com/james-cole/brainageR

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 7 scripts, each with its path and the digest of its content;
  • 1 match between paragraphs of the paper and lines of the code (method lexical-v1);
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 28 September 2026: the first record

Recorded: type, language, journal, volume, pages, dates, 17 authors, 5 keywords, 3 funders, 51 references.

Cite

This paper

Shin, Y. S., Wang, J., Pulver, S. L., Orlando, A.-M., Romero, R. A., Cuomo, C. R., Lauzan, I. V., Dentry, T., Shirley, D. J., Christensen, D., Unruh, K. E., Stevens, C. J., McKinney, W. S., Mosconi, M. W., Vaillancourt, D. E., Wang, Z., & Coombes, S. A. (2026). Neuroanatomical patterns of dementia risk in autism spectrum disorder. Frontiers in aging neuroscience, 18, 1771822. https://doi.org/10.3389/fnagi.2026.1771822

BibTeX

@article{shin2026neuroanatomical,
author = {Shin, Young Seon and Wang, Jingying and Pulver, Stormi L and Orlando, Ann-Marie and Romero, Regilda A and Cuomo, Carolina R and Lauzan, Isabella Valiente and Dentry, Tyler and Shirley, Desirae J and Christensen, Danielle and Unruh, Kathryn E and Stevens, Cassandra J and McKinney, Walker S and Mosconi, Matthew W and Vaillancourt, David E and Wang, Zheng and Coombes, Stephen A},
title = {{Neuroanatomical patterns of dementia risk in autism spectrum disorder}},
journal = {Frontiers in aging neuroscience},
year = {2026},
month = apr,
volume = {18},
pages = {1771822},
publisher = {Frontiers Media SA},
issn = {1663-4365},
doi = {10.3389/fnagi.2026.1771822},
url = {https://doi.org/10.3389/fnagi.2026.1771822},
pmid = {42006949},
pmcid = {PMC13082925}
}

RIS

TY - JOUR
AU - Shin, Young Seon
AU - Wang, Jingying
AU - Pulver, Stormi L
AU - Orlando, Ann-Marie
AU - Romero, Regilda A
AU - Cuomo, Carolina R
AU - Lauzan, Isabella Valiente
AU - Dentry, Tyler
AU - Shirley, Desirae J
AU - Christensen, Danielle
AU - Unruh, Kathryn E
AU - Stevens, Cassandra J
AU - McKinney, Walker S
AU - Mosconi, Matthew W
AU - Vaillancourt, David E
AU - Wang, Zheng
AU - Coombes, Stephen A
TI - Neuroanatomical patterns of dementia risk in autism spectrum disorder
T2 - Frontiers in aging neuroscience
J2 - Front Aging Neurosci
PY - 2026
DA - 2026/04/02
VL - 18
SP - 1771822
SN - 1663-4365
PB - Frontiers Media SA
DO - 10.3389/fnagi.2026.1771822
UR - https://doi.org/10.3389/fnagi.2026.1771822
LA - en
ER -

CSL-JSON

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"container-title": "Frontiers in aging neuroscience",
"author": [
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"family": "Shin",
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