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Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures.

Overview

Authors: Robyn A Honea1,2, Ankit Patel1, William Guiler1, Mark D’Esposito3, Sandra Bond Chapman4, Lori G Cook4, Jeffrey S Spence4
  1. University of Kansas Alzheimer’s Disease Research Center, Fairway, KS USA
  2. Department of Neurology, University of Kansas Medical Center, Kansas City, KS USA
  3. Department of Molecular and Cell Biology, Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA USA
  4. Center for BrainHealth, School of Behavioral and Brain Sciences, The University of Texas at Dallas, Dallas, TX USA
Institutions: University of Kansas (United States); University of Kansas Medical Center (United States); University of California, Berkeley (United States); The University of Texas at Dallas (United States)
Journal: Brain imaging and behavior, volume 20, issue 4, article 111
Dates: received 11 November 2025; accepted 24 June 2026; published online 13 July 2026; in print 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1007/s11682-026-01175-1 · PMID 42437827 · PMCID PMC13357483 · OpenAlex W4416390182
Open access: hybrid, a free copy (OpenAlex)
Status: code on request
Categories: structural MRI / diffusion (modality), human (organism), clinical / translational (subfield)
Methods: Statistics, fMRI & imaging, Preprocessing
MeSH: Brain*, Magnetic Resonance Imaging*, Adult, Aged, Biomarkers, Brain Mapping, Cognition, Female, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Male, Middle Aged, Neuropsychological Tests, Organ Size, Young Adult (* major topic)
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: NIMH NIH HHS (R01 MH123610); National Institute of Health, USA (R01MH123610); UTD Sammon’s award
Citations: not cited yet (Europe PMC); 80 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the code is available on request

Read it in the paper: doi.org/10.1007/s11682-026-01175-1.

Tracing map

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Data

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Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the data are available on request

Read it in the paper: doi.org/10.1007/s11682-026-01175-1.

Versions

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Version 2, 28 September 2026

  • Publisher: n/a → Springer Science+Business Media

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 16 MeSH terms, 3 funders, 80 references.

Cite

This paper

Honea, R. A., Patel, A., Guiler, W., D’Esposito, M., Chapman, S. B., Cook, L. G., & Spence, J. S. (2026). Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures. Brain imaging and behavior, 20(4), 111. https://doi.org/10.1007/s11682-026-01175-1

BibTeX

@article{honea2026longitudinal,
author = {Honea, Robyn A and Patel, Ankit and Guiler, William and D’Esposito, Mark and Chapman, Sandra Bond and Cook, Lori G and Spence, Jeffrey S},
title = {{Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures}},
journal = {Brain imaging and behavior},
year = {2026},
month = jul,
volume = {20},
number = {4},
pages = {111},
publisher = {Springer Science+Business Media},
issn = {1931-7557},
doi = {10.1007/s11682-026-01175-1},
url = {https://doi.org/10.1007/s11682-026-01175-1},
pmid = {42437827},
pmcid = {PMC13357483}
}

RIS

TY - JOUR
AU - Honea, Robyn A
AU - Patel, Ankit
AU - Guiler, William
AU - D’Esposito, Mark
AU - Chapman, Sandra Bond
AU - Cook, Lori G
AU - Spence, Jeffrey S
TI - Longitudinal surface-based morphometry reveals potential MRI biomarkers correlated with multidimensional brain health measures
T2 - Brain imaging and behavior
J2 - Brain Imaging Behav
PY - 2026
DA - 2026/07/13
VL - 20
IS - 4
SP - 111
SN - 1931-7557
PB - Springer Science+Business Media
DO - 10.1007/s11682-026-01175-1
UR - https://doi.org/10.1007/s11682-026-01175-1
LA - en
ER -

CSL-JSON

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"language": "en",
"issued": {
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