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Altered salience network structure-function integration underlies the decline in cognitive flexibility during aging.

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  1. [1] § Methods › Derivation of structure–function coupling and decoupling ↔ choose_k.m, the whole file · a weak match · score 0.60 · cumulative sum, descending, eigenvectors, variance, parcellations, eigenvalue

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Overview

Authors: Xing Qian1, Wan Lin Yue1,2, Kwun Kei Ng1, Ruth L. F. Leong1, Fang Ji1, Narayanaswamy Venketasubramanian3, Saima Hilal4, Christopher Chen4, Michael W. L. Chee1, Dani S. Bassett5, Juan Helen Zhou1,2,6,7
ORCID iDs: Juan Helen Zhou
  1. Centre for Sleep and Cognition & Centre for Translational Magnetic Resonance Research, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  2. Integrative Sciences and Engineering Programme, NUS Graduate School, National University of Singapore, Singapore, Singapore
  3. Raffles Neuroscience Centre, Raffles Hospital, Singapore, Singapore
  4. Memory Aging and Cognition Centre, Department of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
  5. Departments of Physics & Astronomy, Bioengineering, Electrical & Systems Engineering, Neurology, and Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
  6. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore
  7. Department of Medicine, Healthy Longevity & Human Potential TRP, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
Institutions: National University of Singapore (Singapore); University of Pennsylvania (United States)
Journal: PLoS biology, volume 24, issue 4, article e3003738
Dates: received 2 October 2025; accepted 19 March 2026; published online 13 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1371/journal.pbio.3003738 · PMID 41973732 · PMCID PMC13089881 · OpenAlex W7154028436
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: structural MRI / diffusion (modality), fMRI (modality), human (organism), cognitive (subfield)
Methods: Spectral & time-frequency, Statistics, Preprocessing, fMRI & imaging
MeSH: Aging*, Brain*, Cognition*, Cognitive Flexibility*, Nerve Net*, Aged, Connectome, Executive Function, Female, Humans, Magnetic Resonance Imaging, Male (* major topic)
Journal subjects: Biology and Life Sciences, Developmental Biology, Organism Development, Aging, Physiology, Physiological Processes, Neuroscience, Brain Mapping, Functional Magnetic Resonance Imaging, Medicine and Health Sciences, Diagnostic Medicine, Diagnostic Radiology, Magnetic Resonance Imaging, Research and Analysis Methods, Imaging Techniques, Radiology and Imaging, Neuroimaging, People and Places, Population Groupings, Age Groups, Adults, Elderly, Computer and Information Sciences, Network Analysis, Signaling Networks, Anatomy, Nervous System, Central Nervous System, Brain Morphometry, Diffusion Magnetic Resonance Imaging, Physical Sciences, Mathematics, Algebra, Linear Algebra, Eigenvalues, Connectomics, Neuroanatomy
Topic: Action Observation and Synchronization (Social Psychology, Psychology), according to OpenAlex
Funding: National Medical Research Council, Singapore (NMRC/OFLCG19May-0035, NMRC/CIRG/1485/2018, NMRC/CSA-SI/0007/2016, NMRC/MOH-00707-01, NMRC/CG/435 M009/2017-NUH/NUHS, CIRG21nov-0007, HLCA23Feb-0004, OFYIRG23jul-0010); RIE2020 AME Programmatic Fund from A*STAR, Singapore (No. A20G8b0102); Ministry of Education, Singapore (MOE-T2EP40120-0007 & T2EP2-0223-0025, MOE-T2EP20220-0001); Yong Loo Lin School of Medicine Research Core Funding, National University of Singapore, Singapore
Citations: not cited yet (Europe PMC); 124 references in the paper

Abstract

Cognitive flexibility supports efficient switching between mental sets and contributes to the preservation of general cognition in aging. It relies on the integration between brain functional dynamics and structural architecture. However, how this structure–function integration changes with age and contributes to cognitive flexibility decline in older adults remains unclear. In this study, we investigated longitudinal aging-related changes in multimodal structure–function integration, quantified as functional signal alignment (i.e., coupling) versus liberality (i.e., decoupling) relative to individual structural connectomes, which represent distinct spectral components, and tested their longitudinal associations with cognitive flexibility. Resting-state fMRI signals were decomposed based on diffusion MRI–derived structural networks using a graph signal processing framework. We focused on subnetworks within three core large-scale cognitive systems: the executive control network (ECN), default mode network (DMN), and salience network (SN). Across two independent datasets, the task-positive SN-A subnetwork, which includes core SN regions such as the anterior insula and dorsal anterior cingulate cortex, exhibited decreased coupling and increased decoupling with aging. Importantly, these changes were associated with a greater decline in cognitive flexibility (measured by the Trail Making Test and Color Trails Test) over time. In contrast, task-negative DMN-A (centered in the medial prefrontal and posterior cingulate cortex) showed aging-related changes in the opposite direction, with increased coupling and decreased decoupling over time. Together, these findings reveal network-specific trajectories of intrinsic structure–function integration in normal aging and indicate that preserved structure–function integration within the SN may be particularly important for maintaining cognitive flexibility in older adults.

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

Repositories

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hzlab/2026_Qian_PLOS_BIOL_Coupling_Aging

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Commit: 66bfb31d7ea495502e11229e22036d3fddf27b82, 29 March 2026
Languages: MATLAB (2)
Size: 3 files, 2 scripts
Software Heritage: not archived
Found in: “Data Availability”
Holds: README
Not found: license file, CITATION.cff, environment file, tests, continuous integration, documentation
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  • 29 September 2026: the link answers
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Zenodo 19316674

License: CC-BY-4.0
State: the link answers, verified on 29 September 2026
Evidence: files inventoried
Size: 1 file
Software Heritage: not checked
Found in: “Data Availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 29 September 2026: the link answers (HTTP 200)
  • 29 September 2026: the link answers (HTTP 200)
3 files

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Data

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

Data Availability

The processed numerical data underlying the figures can be found within the paper and/or Supporting information files. The raw data supporting the findings of this study are not publicly available due to ethical and privacy restrictions associated with human participant data. Data access requests related to the Singapore Longitudinal Brain Aging Study (primary dataset) can be submitted to the Centre for Sleep and Cognition, National University of Singapore (https://medicine.nus.edu.sg/csc/contact-us/). Data access requests related to the Harmonization Study (validation dataset) can be submitted to the Memory, Ageing and Cognition Centre, National University of Singapore (https://medicine.nus.edu.sg/macc-2/projects/harmonization-study/). Access to these data will be considered upon reasonable request and subject to approval by the relevant institutional and ethics committees. Custom analysis code used in this study is available at https://github.com/hzlab/2026_Qian_PLOS_BIOL_Coupling_Aging (DOI https://doi.org/10.5281/zenodo.19316674).

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Recorded: type, language, journal, volume, issue, pages, dates, 11 authors, 12 MeSH terms, 4 funders, 117 references.

Cite

This paper

Qian, X., Yue, W. L., Ng, K. K., Leong, R. L. F., Ji, F., Venketasubramanian, N., Hilal, S., Chen, C., Chee, M. W. L., Bassett, D. S., & Zhou, J. H. (2026). Altered salience network structure-function integration underlies the decline in cognitive flexibility during aging. PLoS biology, 24(4), e3003738. https://doi.org/10.1371/journal.pbio.3003738

BibTeX

@article{qian2026altered,
author = {Qian, Xing and Yue, Wan Lin and Ng, Kwun Kei and Leong, Ruth L. F. and Ji, Fang and Venketasubramanian, Narayanaswamy and Hilal, Saima and Chen, Christopher and Chee, Michael W. L. and Bassett, Dani S. and Zhou, Juan Helen},
title = {{Altered salience network structure-function integration underlies the decline in cognitive flexibility during aging}},
journal = {PLoS biology},
year = {2026},
month = apr,
volume = {24},
number = {4},
pages = {e3003738},
publisher = {PLOS},
issn = {1544-9173},
doi = {10.1371/journal.pbio.3003738},
url = {https://doi.org/10.1371/journal.pbio.3003738},
pmid = {41973732},
pmcid = {PMC13089881}
}

RIS

TY - JOUR
AU - Qian, Xing
AU - Yue, Wan Lin
AU - Ng, Kwun Kei
AU - Leong, Ruth L. F.
AU - Ji, Fang
AU - Venketasubramanian, Narayanaswamy
AU - Hilal, Saima
AU - Chen, Christopher
AU - Chee, Michael W. L.
AU - Bassett, Dani S.
AU - Zhou, Juan Helen
TI - Altered salience network structure-function integration underlies the decline in cognitive flexibility during aging
T2 - PLoS biology
J2 - PLoS Biol
PY - 2026
DA - 2026/04/13
VL - 24
IS - 4
SP - e3003738
SN - 1544-9173
PB - PLOS
DO - 10.1371/journal.pbio.3003738
UR - https://doi.org/10.1371/journal.pbio.3003738
LA - en
ER -

CSL-JSON

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