Bridging the gap between the human and macaque connectome: a quantitative comparison of global interspecies structure–function relationships and network topology
Open accessAbstract
Resting state functional connectivity MRI (rs-fcMRI) may provide a powerful and noninvasive “bridge” for comparing brain function between patients and experimental animal models; however, the relationship between human and macaque rs-fcMRI remains poorly understood. Here, using a novel surface deformation process for species comparisons in the same anatomical space (Van Essen, 2004, 2005), we found high correspondence, but also unique hub topology, between human and macaque functional connectomes. The global functional connectivity match between species was moderate to strong (r= 0.41) and increased when considering the top 15% strongest connections (r= 0.54). Analysis of the match between functional connectivity and the underlying anatomical connectivity, derived from a previous retrograde tracer study done in macaques (Markov et al., 2012), showed impressive structure–function correspondence in both the macaque and human. When examining the strongest structural connections, we found a 70–80% match between structural and functional connectivity matrices in both species. Finally, we compare species on two widely used metrics for studying hub topology: degree and betweenness centrality. The data showed topological agreement across the species, with nodes of the posterior cingulate showing high degree and betweenness centrality. In contrast, nodes in medial frontal and parietal cortices were identified as having high degree and betweenness in the human as opposed to the macaque. Our results provide: (1) a thorough examination and validation for a surface-based interspecies deformation process, (2) a strong theoretical foundation for making interspecies comparisons of rs-fcMRI, and (3) a unique look at topological distinctions between the species.
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Improved correspondence of functional connectivity to secondary measures occurs after the use of global regression.
“Other work in animal models highlights the improved correspondence of functional connectivity to secondary measures (e.g. viral tracings of axonal tracts) after the use of global regression (Miranda-Dominguez et al., 2014).”
From Characterizing heterogeneity in children with and without ADHD based on reward system connectivity (2015) · cites this paper as Miranda-Dominguez et al., 2014
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“Cutting-edge work in resting-state fMRI acquisition and network analysis suggests that individual brains, even among typical subjects, are distinguishable via their functional connectomes (Finn et al., 2015; Laumann et al., 2015; Miranda-Dominguez et al., 2014b).”
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Self-citation
- Authors
- Miranda-Dominguez, O., Mills, B. D., Grayson, D., Woodall, A., Grant, K. A., Kroenke, C. D., & Fair, D. A.
- Affiliations
- University of California, Davis (US)
- Oregon National Primate Research Center (US)
- Oregon Health & Science University (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-04-16
- Volume
- 34
- Issue
- 16
- Pages
- 5552-5563
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3988411
- OpenAlex
- W2066302516
- Cited by
- 130
- References
- 68
- Citations by year
- 2025: 4 · 2024: 7 · 2023: 9 · 2022: 6 · 2021: 8 · 2020: 12 · 2019: 11 · 2018: 18 · 2017: 12 · 2016: 18 · 2015: 14 · 2014: 11
- FWCI
- 10.22
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- James S. McDonnell Foundation (R01 MH096773, K99/R00 MH091238)
- National Institutes of Health (AA109431, K99-R00, K99/R00 MH091238, MH091238, P51OD011092)
- National Institute on Alcohol Abuse and Alcoholism (U01AA013510)
- National Institute of Mental Health (K99/R00 MH091238, K99MH091238, R00MH091238, R01MH096773)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- resting-state functional connectivity, human-macaque comparison, surface deformation, structural connectivity, posterior cingulate cortex, betweenness centrality, degree centrality
- MeSH terms
- Adult, Animals, Brain, Female, Humans, Image Processing, Computer-Assisted, Macaca mulatta, Magnetic Resonance Imaging, Male, Neural Pathways, Oxygen, Regression Analysis, ROC Curve, Species Specificity, Young Adult, Connectome
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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