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Linking Macroscale Graph Analytical Organization to Microscale Neuroarchitectonics in the Macaque Connectome
Open accessAbstract
Macroscale connectivity of the mammalian brain has been shown to display several characteristics of an efficient communication network architecture. In parallel, at the microscopic scale, histological studies have extensively revealed large interregional variation in cortical neural architectonics. However, how these two “scales” of cerebrum organization are linked remains an open question. Collating and combining data across multiple studies on the cortical cytoarchitecture of the macaque cortex with information on macroscale anatomical wiring derived from tract tracing studies, this study focuses on examining the interplay between macroscale organization of the macaque connectome and microscale cortical neuronal architecture. Our findings show that both macroscale degree as well as the topological role in the overall network are related to the level of neuronal complexity of cortical regions at the microscale, showing (among several effects) a positive overall association between macroscale degree and metrics of microscale pyramidal complexity. Macroscale hub regions, together forming a densely interconnected “rich club,” are noted to display a high level of neuronal complexity, findings supportive of a high level of integrative neuronal processes to occur in these regions. Together, we report on cross-scale observations that jointly suggest that a region's microscale neuronal architecture is tuned to its role in the global brain network.
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“macroscale FC is known to be modulated by interareal correlated gene expression, areal densities of excitatory and inhibitory receptors, and other features of microscale architecture that vary across brain structures (Richiardi et al., 2015; Scholtens et al., 2014; Turk et al., 2016; van den Heuvel et al., 2016b)”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Scholtens et al., 2014
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Metadata
- Authors
- Scholtens, L. H., Schmidt, R., de Reus, M. A., & van den Heuvel, M. P.
- Affiliations
- University Medical Center Utrecht (NL)
- ORCID
- Scholtens, Lianne H.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-09-03
- Volume
- 34
- Issue
- 36
- Pages
- 12192-12205
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6608464
- OpenAlex
- W2162763711
- Cited by
- 160
- References
- 86
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 14 · 2023: 10 · 2022: 9 · 2021: 13 · 2020: 10 · 2019: 14 · 2018: 27 · 2017: 14 · 2016: 16 · 2015: 19 · 2014: 2
- FWCI
- 9.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (#451-12-001)
- 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
- cortical cytoarchitecture, neuronal complexity, pyramidal neurons, network hubs, rich club, brain network topology, neural tracing, cortical connectivity
- MeSH terms
- Animals, Brain, Macaca, Models, Neurological, Connectome
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