OSCR

High brain network system segregation is differentially linked with cognitive performance across the life span.

Overview

Authors: Cameron N Calder1,2,3, Carl Helmick4,3, Javeria Ali Hashmi1,2,3
  1. Department of Medical Neuroscience, Dalhousie University
  2. Department of Anesthesia, Pain Management, and Perioperative Medicine, Dalhousie University
  3. Nova Scotia Health Authority
  4. Psychiatry Brain Imaging Laboratory, Dalhousie University
Institutions: Dalhousie University (Canada); Nova Scotia Health Authority (Canada)
Journal: Network neuroscience (Cambridge, Mass.), volume 10, issue 2, pages 352-373
Dates: received 20 May 2025; accepted 13 December 2025; published online 22 April 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1162/netn.a.542 · PMID 42039097 · PMCID PMC13108503 · OpenAlex W7118392401
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: fMRI (modality), human (organism), cognitive (subfield)
Methods: Connectivity, Preprocessing, fMRI & imaging, Physiology & signal measures
Keywords: Cognitive aging, Cognition, Resting-state fMRI, Functional connectivity, Functional brain networks, System segregation
Topic: Functional Brain Connectivity Studies (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Citations: not cited yet (Europe PMC); 77 references in the paper

Abstract

Healthy aging is marked by changes in both cognitive performance and the organization of brain networks. Declines in cognition have been linked to reductions in system segregation (SS), as older adults typically exhibit less segregated functional networks than younger adults. While lower segregation has been associated with diminished cognitive abilities, it remains unclear how individual variability in SS contributes to cognitive outcomes across the lifespan. Here, we examine relationships between SS and three cognitive domains (semantic, executive, episodic memory) using resting-state fMRI data from 179 younger (18–29 years) and 117 older adults (60–89 years). SS was measured globally and for specific networks using Schaefer’s 7-network parcellation. Our findings confirmed a global age-related reduction in SS, particularly impacting the somatomotor, ventral attention, and frontoparietal networks. This reduction in global SS mediated negative effects of age group on semantic and executive performance. When examining younger and older groups separately, we found that higher SS was associated with better semantic performance in both groups, while observing a similar positive association with executive performance only in older adults, suggesting that executive function becomes increasingly dependent on preserved network architecture with age. Maintaining SS may therefore be critical for supporting healthy cognitive aging.

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

Code

The paper links to its data, not to its authors' code: see the Data section.

Tracing map

A tracing map links a paper to the code its authors published: this paper has none, so it has no map.

Data

Datasets cited

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, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 6 keywords, 3 funders, 71 references.

Cite

This paper

Calder, C. N., Helmick, C., & Hashmi, J. A. (2026). High brain network system segregation is differentially linked with cognitive performance across the life span. Network neuroscience (Cambridge, Mass.), 10(2), 352-373. https://doi.org/10.1162/netn.a.542

BibTeX

@article{calder2026high,
author = {Calder, Cameron N and Helmick, Carl and Hashmi, Javeria Ali},
title = {{High brain network system segregation is differentially linked with cognitive performance across the life span}},
journal = {Network neuroscience (Cambridge, Mass.)},
year = {2026},
month = apr,
volume = {10},
number = {2},
pages = {352--373},
publisher = {MIT Press},
issn = {2472-1751},
doi = {10.1162/netn.a.542},
url = {https://doi.org/10.1162/netn.a.542},
pmid = {42039097},
pmcid = {PMC13108503}
}

RIS

TY - JOUR
AU - Calder, Cameron N
AU - Helmick, Carl
AU - Hashmi, Javeria Ali
TI - High brain network system segregation is differentially linked with cognitive performance across the life span
T2 - Network neuroscience (Cambridge, Mass.)
J2 - Netw Neurosci
PY - 2026
DA - 2026/04/22
VL - 10
IS - 2
SP - 352
EP - 373
SN - 2472-1751
PB - MIT Press
DO - 10.1162/netn.a.542
UR - https://doi.org/10.1162/netn.a.542
LA - en
ER -

CSL-JSON

{
"id": "10.1162/netn.a.542",
"type": "article-journal",
"title": "High brain network system segregation is differentially linked with cognitive performance across the life span",
"container-title": "Network neuroscience (Cambridge, Mass.)",
"author": [
{
"family": "Calder",
"given": "Cameron N"
},
{
"family": "Helmick",
"given": "Carl"
},
{
"family": "Hashmi",
"given": "Javeria Ali"
}
],
"container-title-short": "Netw Neurosci",
"volume": "10",
"issue": "2",
"page": "352-373",
"DOI": "10.1162/netn.a.542",
"PMID": "42039097",
"PMCID": "PMC13108503",
"ISSN": "2472-1751",
"publisher": "MIT Press",
"URL": "https://doi.org/10.1162/netn.a.542",
"language": "en",
"issued": {
"date-parts": [
[
2026,
4,
22
]
]
}
}

Similar papers

The papers with a page that share the most with this one: the tools found in their code, their categories, datasets, cited references and authors, the rarest counting most.

[1] doi:10.1038/s42003-026-10282-0 [code]
Genetic risk of Alzheimer's disease is associated with loss of brain network segregation in midlife.
Journal: Communications biology
In common: 12 references
[2] doi:10.1162/imag.a.1285 [code]
Individualized mapping of functional brain networks in older adulthood.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: fMRI, 8 references
[3] doi:10.1038/s41467-026-76598-x
Preserved topography, lateralization, selectivity, and functional connectivity of the language network in older brains.
Journal: Nature communications
In common: fMRI, cognitive, 6 references
[4] doi:10.1186/s40337-026-01671-1 [code]
Aberrant large- and mesoscale network segregation and integration in bulimia nervosa.
Journal: Journal of eating disorders
In common: fMRI, 7 references
[5] doi:10.1162/nol.a.245 [code]
Age-Related Differences in Resting-State Functional Connectivity Predict Specific Patterns of Speech Disfluency.
Journal: Neurobiology of language (Cambridge, Mass.)
In common: fMRI, cognitive, 6 references
[6] doi:10.1162/imag.a.1338 [code]
Systematic fMRI signal differences across cohorts alter lifespan trajectories of functional brain networks.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: fMRI, 6 references
[7] doi:10.1093/brain/awaf443 [code]
Cellular signatures underlying functional resilience in presymptomatic frontotemporal dementia.
Journal: Brain : a journal of neurology
In common: fMRI, 5 references
[8] doi:10.1162/imag.a.1198 [code]
MEPrep: A robust pipeline for multi-echo fMRI denoising and preprocessing.
Journal: Imaging neuroscience (Cambridge, Mass.)
In common: fMRI, 6 references
[9] doi:10.1016/j.neuroimage.2026.122186
Aging, brain network connectivity, and cognition: evidence from resting-state dynamic arterial spin labeling.
Journal: NeuroImage
In common: fMRI, cognitive, 4 references
[10] doi:10.1371/journal.pbio.3003738 [code]
Altered salience network structure-function integration underlies the decline in cognitive flexibility during aging.
Journal: PLoS biology
In common: fMRI, cognitive, 4 references

Contribute

The authors of this paper can claim it, correct its record and validate its tracing map, and the maintainers of its code (its owner, or a public member of its organization) correct what it says of their repository; anyone signed in can ask for its removal. Every request goes to OSCR's own machine, which answers it; your account page follows them.

Sign in with ORCID to claim this paper as one of its authors, correct its record or validate its tracing map: when the paper's metadata lists your ORCID iD, you are recognized at once. Maintainers of its code: sign in with GitHub, then claim the repository on your account page.

Request its removal

To ask OSCR to remove this record, the copies of its authors' scripts or its tracing map, use the removal request page: signed in, you say who you are, what to remove and why, then review and confirm the request. Published rules decide every request (how).

Discussion, reproductions, activity

Discussion: questions and error reports about this paper and its code, from signed-in readers and its authors. It opens with sign-in.

Reproductions: reports from readers who ran the authors' code: what they reproduced, with which environment, commit and data. It opens with sign-in.

Activity: what happens around this paper: new versions of its record, its map's validation, discussions and reproductions. It opens with sign-in.