Mapping putative hubs in human, chimpanzee and rhesus macaque connectomes via diffusion tractography
Open accessAbstract
Mapping anatomical brain networks with graph-theoretic analysis of diffusion tractography has recently gained popularity, because of its presumed value in understanding brain function. However, this approach has seldom been used to compare brain connectomes across species, which may provide insights into brain evolution. Here, we employed a data-driven approach to compare interregional brain connections across three primate species: 1) the intensively studied rhesus macaque, 2) our closest living primate relative, the chimpanzee, and 3) humans. Specifically, we first used random parcellations and surface-based probabilistic diffusion tractography to derive the brain networks of the three species under various network densities and resolutions. We then compared the characteristics of the networks using graph-theoretic measures. In rhesus macaques, our tractography-defined hubs showed reasonable overlap with hubs previously identified using anterograde and retrograde tracer data. Across all three species, hubs were largely symmetric in the two hemispheres and were consistently identified in medial parietal, insular, retrosplenial cingulate and ventrolateral prefrontal cortices, suggesting a conserved structural architecture within these regions. However, species differences were observed in the inferior parietal cortex, polar and medial prefrontal cortices. The potential significance of these interspecies differences is discussed.
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Resting-state networks are consistent across species to some extent.
“and, to some extent, across species [5]”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [5]
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Self-citation
- Authors
- Li, L., Hu, X., Preuss, T. M., Glasser, M. F., Damen, F. W., Qiu, Y., & Rilling, J.
- Affiliations
- Georgia Institute of Technology (US)
- Emory University (US)
- Washington University in St. Louis (US)
- Corresponding author
- Rilling, James
- ORCID
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-10
- Volume
- 80
- Pages
- 462-474
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC3720835
- OpenAlex
- W1979383653
- Cited by
- 109
- References
- 96
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 9 · 2023: 6 · 2022: 4 · 2021: 6 · 2020: 10 · 2019: 11 · 2018: 13 · 2017: 11 · 2016: 10 · 2015: 6 · 2014: 12 · 2013: 4
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (5P01 AG026423-03, P50-MH100029)
- National Center for Research Resources (P51RR165)
- Office of Research Infrastructure Programs (P51OD11132)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- brain connectome, diffusion tractography, primate brain evolution, human-brain comparison, chimpanzees, rhesus monkeys, probabilistic tractography, hemispheric symmetry, prefrontal cortex, parietal cortex, insula, retrosplenial cortex
- MeSH terms
- Animals, Brain, Pan troglodytes, Humans, Macaca mulatta, Models, Anatomic, Models, Neurological, Nerve Fibers, Myelinated, Nerve Net, Species Specificity, Diffusion Tensor Imaging, 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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