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Regional Brain Volume Variation Across Adulthood: A Cross-Sectional MRI Analysis of Age, Sex, and Hemispheric Asymmetry.

Overview

  1. CSU Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia
  2. School of Computing, Mathematics and Engineering, Charles Sturt University, Port Macquarie, NSW 2444, Australia
  3. School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia
  4. School of Dentistry and Medical Sciences, Charles Sturt University, Orange, NSW 2800, Australia
Institutions: Charles Sturt University (Australia)
Journal: Life (Basel, Switzerland), volume 16, issue 8, article 1356
Dates: received 16 June 2026; accepted 29 July 2026; published online 18 August 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.3390/life16081356 · PMID 42653044 · PMCID PMC13514872 · OpenAlex W7203668723
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism)
Methods: Statistics, Connectivity, fMRI & imaging
Keywords: brain ageing, structural MRI, regional brain volume, sex differences, hemispheric asymmetry, intracranial volume correction, subcortical structures, lifespan age association, brain volumetry, AgeRisk cohort
Topic: Dementia and Cognitive Impairment Research (Psychiatry and Mental health, Medicine), according to OpenAlex
Citations: not cited yet (Europe PMC); 84 references in the paper

Abstract

Distinguishing normative cross-sectional structural age differences from early neurodegeneration requires region-specific characterisation of cross-sectional age-related variation, yet findings remain sensitive to modelling strategy and intracranial volume (ICV) correction. T1-weighted MRI from 187 healthy adults (97 female, 90 male; aged 16.22–81.48 years) in the AgeRisk dataset were segmented using Vol2Brain. Multiple regression models applied to 19 predefined brain regions tested linear and quadratic age, sex, ICV, and signal-to-noise ratio (FDR-corrected within predictor families); hemispheric asymmetry indices were Bonferroni-corrected. Three hypothesis domains were preregistered: age associations, sex differences, and hemispheric asymmetry. Negative cross-sectional age associations were observed in subcortical (hippocampus, amygdala, caudate, putamen, and nucleus accumbens) and cortical regions (insula, temporal and occipital lobes; all pFDR<0.05). The parietal lobe showed significant quadratic curvature (pFDR=0.008); total cortical grey matter showed no age effect. White matter exhibited a positive linear rather than the hypothesised inverted-U relationship. After ICV adjustment, females showed greater grey-matter-dominant volumes and males greater cerebrospinal fluid volume (both pFDR<0.05). Sex-by-age interactions in four subcortical regions indicated shallower negative cross-sectional age associations in females (all pFDR≤0.034). Age was associated with reduced parietal and temporal hemispheric asymmetry (both p<0.001). Findings confirm regionally heterogeneous ageing, ICV-adjusted sex differences, and a selective negative cross-sectional association between age and hemispheric asymmetry, consistent with the broader lifespan literature.

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

Code

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Data

Datasets cited

Data Availability Statement

The original contributions presented in this study are included in the article/Supplementary Materials. 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, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 4 authors, 10 keywords, 81 references.

Cite

This paper

Debnath, T., Rahman, M. G., Debnath, S., & Chau, M. (2026). Regional Brain Volume Variation Across Adulthood: A Cross-Sectional MRI Analysis of Age, Sex, and Hemispheric Asymmetry. Life (Basel, Switzerland), 16(8), 1356. https://doi.org/10.3390/life16081356

BibTeX

@article{debnath2026regional,
author = {Debnath, Tanmoy and Rahman, Md Geaur and Debnath, Sourabhi and Chau, Minh},
title = {{Regional Brain Volume Variation Across Adulthood: A Cross-Sectional MRI Analysis of Age, Sex, and Hemispheric Asymmetry}},
journal = {Life (Basel, Switzerland)},
year = {2026},
month = aug,
volume = {16},
number = {8},
pages = {1356},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
issn = {2075-1729},
doi = {10.3390/life16081356},
url = {https://doi.org/10.3390/life16081356},
pmid = {42653044},
pmcid = {PMC13514872}
}

RIS

TY - JOUR
AU - Debnath, Tanmoy
AU - Rahman, Md Geaur
AU - Debnath, Sourabhi
AU - Chau, Minh
TI - Regional Brain Volume Variation Across Adulthood: A Cross-Sectional MRI Analysis of Age, Sex, and Hemispheric Asymmetry
T2 - Life (Basel, Switzerland)
J2 - Life (Basel)
PY - 2026
DA - 2026/08/18
VL - 16
IS - 8
SP - 1356
SN - 2075-1729
PB - Multidisciplinary Digital Publishing Institute (MDPI)
DO - 10.3390/life16081356
UR - https://doi.org/10.3390/life16081356
LA - en
ER -

CSL-JSON

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