Revealing modular architecture of human brain structural networks by using cortical thickness from MRI
Open accessAbstract
Modularity, presumably shaped by evolutionary constraints, underlies the functionality of most complex networks ranged from social to biological networks. However, it remains largely unknown in human cortical networks. In a previous study, we demonstrated a network of correlations of cortical thickness among specific cortical areas and speculated that these correlations reflected an underlying structural connectivity among those brain regions. Here, we further investigated the intrinsic modular architecture of the human brain network derived from cortical thickness measurement. Modules were defined as groups of cortical regions that are connected morphologically to achieve the maximum network modularity. We show that the human cortical network is organized into 6 topological modules that closely overlap known functional domains such as auditory/language, strategic/executive, sensorimotor, visual, and mnemonic processing. The identified structure-based modular architecture may provide new insights into the functionality of cortical regions and connections between structural brain modules. This study provides the first report of modular architecture of the structural network in the human brain using cortical thickness measurements.
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Numerous noninvasive brain imaging studies in primates using brain parcellations ranging from 45 to 90 areas report wide ranging densities, from 7% to over 50%.
“Numerous noninvasive brain imaging studies carried out in primates using brain parcellations ranging from 45 to 90 areas report wide ranging densities, from 7% to over 50% (He et al. 2007; Chen et al. 2008; Hagmann et al. 2008; Iturria-Medina et al. 2008; Gong et al. 2009; Li et al. 2009).”
From A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex (2014) · cites this paper as Chen et al. 2008
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- Authors
- Chen, Z. J., He, Y., Rosa-Neto, P., Germann, J., & Evans, A. C.
- Affiliations
- Montreal Neurological Institute and Hospital (CA)
- ORCID
- Evans, Alan C.
- Venue
- Cerebral Cortex
- Publisher
- Oxford University Press (OUP)
- Published
- 2008-02-10
- Volume
- 18
- Issue
- 10
- Pages
- 2374-2381
- ISSN
- 1047-3211 (ISSN-L)
- 1460-2199
- PMC
- PMC2733312
- OpenAlex
- W2114549884
- Cited by
- 484
- References
- 69
- Citations by year
- 2026: 9 · 2025: 9 · 2024: 13 · 2023: 17 · 2022: 16 · 2021: 26 · 2020: 23 · 2019: 31 · 2018: 35 · 2017: 25 · 2016: 36 · 2015: 38 · 2014: 38 · 2013: 44 · 2012: 33
- FWCI
- 15.47
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Cerebral Cortex (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Killam Trusts
- Canadian Institutes of Health Research
- National Institute of Mental Health (P01MH052176)
- 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
- brain network modularity, structural connectivity, cortical thickness, cortical modules, functional domains, topological modules, cortical morphometry
- MeSH terms
- Adult, Algorithms, Brain Mapping, Cerebral Cortex, Female, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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