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Cited by 59Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsComplex Network Analysis Techniques

Comparing connectivity pattern and small-world organization between structural correlation and resting-state networks in healthy adults

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Hosseini, S.M. Hadi, Kesler, Shelli R.·2013·NeuroImage
DOI 10.1016/j.neuroimage.2013.04.032PMC PMC3673883
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Abstract

In recent years, coordinated variations in brain morphology (e.g. volume, thickness, surface area) have been employed as a measure of structural association between brain regions to infer large-scale structural correlation networks (SCNs). However, it remains unclear how morphometric correlations relate to functional connectivity between brain regions. Resting-state networks (RSNs), derived from coordinated variations in neural activity at rest, have been shown to reflect connectivity between functionally related regions as well as, to some extent, anatomical connectivity between brain regions. Therefore, it is intriguing to investigate similarities between SCN and RSN to help identify how morphometric correlations relate to connections defined by resting-state connectivity. We investigated the similarities in connectivity patterns and small-world organization between SCN, derived from correlations of regional gray matter volume across individuals, and RSN in 36 healthy individuals. The results showed a significant similarity between SCN and RSN (60% for positive connections and 40% for negative connections) that might be explained by shared experience-related functional connectivity underlying both SCN and RSN. Conversely, the small-world parameters of the networks were significantly different, suggesting that SCN topological parameters cannot be regarded as a substitute for topological organization in resting-state networks. While our data suggest that using structural correlation networks can be useful in understanding alterations in structural associations in various brain disorders, it should be noted that a portion of the observed alterations might be explained by factors other than those reflecting resting-state connectivity.

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  • Negative functional edges were zeroed given evidence that properties of negative correlation networks are different than those of positive correlation networks.

    “Negative functional edges were zeroed given evidence that properties of negative correlation networks are different than those of positive correlation networks (Hosseini & Kesler, 2013; Schwarz & McGonigle, 2011).”

    From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Hosseini & Kesler, 2013

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Authors
Hosseini, S. M. H., & Kesler, S. R.
Affiliations
Stanford Medicine (US)
Corresponding author
Hosseini, S.M. Hadi
ORCID
Venue
NeuroImage
Publisher
Elsevier BV
Published
2013-09
Volume
78
Pages
402-414
ISSN
1053-8119 (ISSN-L)
DOI
10.1016/j.neuroimage.2013.04.032
PMC
PMC3673883
OpenAlex
W1985436353
Cited by
59
References
6
Citations by year
2025: 1 · 2024: 3 · 2023: 2 · 2022: 3 · 2021: 5 · 2020: 4 · 2019: 1 · 2018: 8 · 2017: 2 · 2016: 14 · 2015: 5 · 2014: 10 · 2013: 1
FWCI
5.48
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institutes of Health (1 DP2 OD004445-01)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
resting-state networks, gray matter volume, functional connectivity, network topology, brain connectivity, healthy adults
MeSH terms
Adult, Brain, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Nerve Net, Rest

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