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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 54 out of 100. Mild cognitive impairment

Topic: Risk, prevention and care in population studies

Significant progress has been made uncovering functional brain networks, yet little is known about the corresponding structural covariance networks. The default network's functional architecture has been shown to change over the course of healthy and pathological aging. We examined cross-sectional and longitudinal datasets to reveal the structural covariance of the human default network across the adult lifespan and through the progression of Alzheimer's disease (AD). We used a novel approach to identify the structural covariance of the default network and derive individual participant scores that reflect the covariance pattern in each brain image. A seed-based multivariate analysis was conducted on structural images in the cross-sectional OASIS (N = 414) and longitudinal Alzheimer's Disease Neuroimaging Initiative (N = 434) datasets. We reproduced the distributed topology of the default network, based on a posterior cingulate cortex seed, consistent with prior reports of this intrinsic connectivity network. Structural covariance of the default network scores declined in healthy and pathological aging. Decline was greatest in the AD cohort and in those who progressed from mild cognitive impairment to AD. Structural covariance of the default network scores were positively associated with general cognitive status, reduced in APOEε4 carriers versus noncarriers, and associated with CSF biomarkers of AD. These findings identify the structural covariance of the default network and characterize changes to the network's gray matter integrity across the lifespan and through the progression of AD. The findings provide evidence for the large-scale network model of neurodegenerative disease, in which neurodegeneration spreads through intrinsically connected brain networks in a disease specific manner.

Key findings

Why it matters

Using cross-sectional and longitudinal imaging datasets, this study found that structural covariance of the default network declined in healthy and pathological aging, most in Alzheimer's disease and in those who progressed from mild cognitive impairment. It describes brain changes over aging and disease and does not test any treatment, cure or prevention.

Study details

How this study scored 54/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 4 of 4; Study design 4 of 12; Strength of evidence 3 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 3 of 5; Impact for its field and year 3 of 6; Cited by studies here 1 of 6; Still being cited 1 of 4; Senior author's track record 2 of 4; Institution's track record 2 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 54 of 100.54 of 100 points earned46 not earned

Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (The Journal of neuroscience : the official journal of the Society for Neuroscience)
Journal's citation record 4 / 4 Journal of Neuroscience: journal h-index 651 (OpenAlex, 2026-10-29)
Study design 4 / 12 A snapshot of people at one point in time
Strength of evidence 3 / 5 Rated “moderate” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2013 — within 20 year(s) of the newest study here
Sample size 2 / 4 414 participants
Effect reported 0 / 3 No effect size reported — scores zero (not stated in the record — scored 0)
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 5 / 7 Cited 121 times (OpenAlex, 2026-10-10)
Citations per year 3 / 5 8.1 citations a year over 15 year(s) since 2013
Impact for its field and year 3 / 6 Cited 4.4× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 1 / 6 Cited by 1 other studies in this library
Still being cited 1 / 4 Cited 13 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 2 / 4 Last-listed author Gary R. Turner: h-index 39 (OpenAlex, whole career)
Institution's track record 2 / 3 Cornell University: institution h-index 1,649 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 24048852)
Free to read 0 / 2 Behind a paywall — scores zero
Total 54 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Spreng, R. N., & Turner, G. R. (2013). Structural covariance of the default network in healthy and pathological aging. The Journal of neuroscience : the official journal of the Society for Neuroscience. https://doi.org/10.1523/jneurosci.2261-13.2013

Vancouver

Spreng RN, Turner GR. Structural covariance of the default network in healthy and pathological aging. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2013. doi:10.1523/jneurosci.2261-13.2013. PMID: 24048852.

BibTeX

@article{spreng2013-24048852,
  author  = {Spreng, R. N. and Turner, G. R.},
  title   = {{Structural covariance of the default network in healthy and pathological aging}},
  journal = {The Journal of neuroscience : the official journal of the Society for Neuroscience},
  year    = {2013},
  doi     = {10.1523/jneurosci.2261-13.2013},
  pmid    = {24048852},
  url     = {https://doi.org/10.1523/jneurosci.2261-13.2013}
}

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