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Information Processing Architecture of Functionally Defined Clusters in the Macaque Cortex
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Computational and empirical neuroimaging studies have suggested that the anatomical connections between brain regions primarily constrain their functional interactions. Given that the large-scale organization of functional networks is determined by the temporal relationships between brain regions, the structural limitations may extend to the global characteristics of functional networks. Here, we explored the extent to which the functional network community structure is determined by the underlying anatomical architecture. We directly compared macaque (Macaca fascicularis) functional connectivity (FC) assessed using spontaneous blood oxygen level-dependent functional magnetic resonance imaging (BOLD-fMRI) to directed anatomical connectivity derived from macaque axonal tract tracing studies. Consistent with previous reports, FC increased with increasing strength of anatomical connection, and FC was also present between regions that had no direct anatomical connection. We observed moderate similarity between the FC of each region and its anatomical connectivity. Notably, anatomical connectivity patterns, as described by structural motifs, were different within and across functional modules: partitioning of the functional network was supported by dense bidirectional anatomical connections within clusters and unidirectional connections between clusters. Together, our data directly demonstrate that the FC patterns observed in resting-state BOLD-fMRI are dictated by the underlying neuroanatomical architecture. Importantly, we show how this architecture contributes to the global organizational principles of both functional specialization and integration.
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“Interregional FC arises from anatomical projection strengths (Messe et al., 2014; Shen et al., 2012), correlated gene expression (Richiardi et al., 2015), and synaptic receptor densities (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 Shen et al., 2012
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Metadata
- Authors
- Shen, K., Bezgin, G., Hutchison, R. M., Gati, J. S., Menon, R. S., Everling, S., & McIntosh, A. R.
- Affiliations
- Rotman Research Institute (CA)
- Western University (CA)
- University of Toronto (CA)
- ORCID
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-11-28
- Volume
- 32
- Issue
- 48
- Pages
- 17465-17476
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6621872
- OpenAlex
- W2057895125
- Cited by
- 123
- References
- 84
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 5 · 2023: 6 · 2022: 7 · 2021: 13 · 2020: 9 · 2019: 7 · 2018: 7 · 2017: 9 · 2016: 9 · 2015: 16 · 2014: 14 · 2013: 10
- FWCI
- 6.54
- 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)
- Funders
- James S. McDonnell Foundation
- Canadian Institutes of Health Research
- 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
- functional connectivity, structural connectivity, resting-state networks, community structure, macaque cortex, structural motifs, functional modules, brain network organization
- MeSH terms
- Animals, Brain Mapping, Cerebral Cortex, Female, Macaca fascicularis, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Neurons, Synapses
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