Functional connectivity hubs of the mouse brain
Abstract
Recent advances in functional connectivity methods have made it possible to identify brain hubs - a set of highly connected regions serving as integrators of distributed neuronal activity. The integrative role of hub nodes makes these areas points of high vulnerability to dysfunction in brain disorders, and abnormal hub connectivity profiles have been described for several neuropsychiatric disorders. The identification of analogous functional connectivity hubs in preclinical species like the mouse may provide critical insight into the elusive biological underpinnings of these connectional alterations. To spatially locate functional connectivity hubs in the mouse brain, here we applied a fully-weighted network analysis to map whole-brain intrinsic functional connectivity (i.e., the functional connectome) at a high-resolution voxel-scale. Analysis of a large resting-state functional magnetic resonance imaging (rsfMRI) dataset revealed the presence of six distinct functional modules related to known large-scale functional partitions of the brain, including a default-mode network (DMN). Consistent with human studies, highly-connected functional hubs were identified in several sub-regions of the DMN, including the anterior and posterior cingulate and prefrontal cortices, in the thalamus, and in small foci within well-known integrative cortical structures such as the insular and temporal association cortices. According to their integrative role, the identified hubs exhibited mutual…
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Relevant subnetworks have been shown to be present in mice both structurally and functionally.
“Relevant subnetworks have been shown to be present in mice both structurally and functionally (Liska, Galbusera, Schwarz, & Gozzi, 2015; Stafford et al., 2014)”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Liska, Galbusera, Schwarz, & Gozzi, 2015
The presence of hubs in the mouse brain is consistent with other studies.
“This is consistent with other studies showing presence of hubs in the mouse brain (Liska et al., 2015; Rubinov, Ypma, Watson, & Bullmore, 2015).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Liska et al., 2015
Cites
Finding and evaluating community structure in networks
Newman, M. E. J., & Girvan, M. (2004) · Physical Review E · doi:10.1103/physreve.69.026113 · Cited by 13,931 · see citing works
Functional Network Organization of the Human Brain
Power, J. D., Cohen, A. L., Nelson, S. M., Wig, G. S., Barnes, K. A., Church, J. A., Vogel, A. C., Laumann, T. O., Miezin, F. M., Schlaggar, B. L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.006 · Cited by 4,124 · see citing works
Buckner, R. L., Sepulcre, J., Talukdar, T., Krienen, F. M., Liu, H., Hedden, T., Andrews-Hanna, J. R., Sperling, R. A., & Johnson, K. A. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.5062-08.2009 · Cited by 2,862 · see citing works
Murphy, K., Birn, R. M., Handwerker, D. A., Jones, T. B., & Bandettini, P. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.09.036 · Cited by 2,387 · see citing works
Network hubs in the human brain
van den Heuvel, M. P., & Sporns, O. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.012 · Cited by 2,123 · cited 5× · see citing works
“Consistent with this notion, aberrant rsfMRI connectivity profiles have been described for several hub regions in pathological conditions such as autism, schizophrenia and neurodegenerative disorders (Buckner et al., 2009; van den Heuvel and Sporns, 2013).”
InfluentialFunctional brain networks develop from a local to distributed organization
Fair, D. A., Cohen, A. L., Power, J. D., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Schlaggar, B. L., & Petersen, S. E. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000381 · Cited by 1,530 · see citing works
Network attributes for segregation and integration in the human brain
Sporns, O. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.015 · Cited by 1,067 · see citing works
Robustness of community structure in networks
Karrer, B., Levina, E., & Newman, M. E. J. (2008) · Physical Review E · doi:10.1103/physreve.77.046119 · Cited by 350 · see citing works
Large-scale topology and the default mode network in the mouse connectome
Stafford, J. M., Jarrett, B. R., Miranda-Dominguez, O., Mills, B. D., Cain, N., Mihalas, S., Lahvis, G. P., Lattal, K. M., Mitchell, S. H., David, S. V., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404346111 · Cited by 229 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Structural basis of large-scale functional connectivity in the mouse
Grandjean, J., Zerbi, V., Balsters, J. H., Wenderoth, N., & Rudin, M. (2017) · The Journal of Neuroscience · doi:10.1523/jneurosci.0438-17.2017 · Cited by 151 · see citing works
Bertero, A., Liska, A., Pagani, M., Parolisi, R., Masferrer, M. E., Gritti, M., Pedrazzoli, M., Galbusera, A., Sarica, A., Cerasa, A., et al. (2018) · Brain · doi:10.1093/brain/awy111 · Cited by 120 · see citing works
Self-citationDeletion of Autism Risk Gene Shank3 Disrupts Prefrontal Connectivity
Pagani, M., Bertero, A., Liska, A., Galbusera, A., Sabbioni, M., Barsotti, N., Colenbier, N., Marinazzo, D., Scattoni, M. L., Pasqualetti, M., et al. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.2529-18.2019 · Cited by 111 · see citing works
Self-citationDeletion of the mu opioid receptor gene in mice reshapes the reward-aversion connectome
Mechling, A. E., Arefin, T., Lee, H.-L., Bienert, T., Reisert, M., Ben Hamida, S., Darcq, E., Ehrlich, A., Gaveriaux-Ruff, C., Parent, M. J., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1601640113 · Cited by 80 · see citing works
Chao, T.-H. H., Lee, B., Hsu, L.-M., Cerri, D. H., Zhang, W.-T., Wang, T.-W. W., Ryali, S., Menon, V., & Shih, Y.-Y. I. (2023) · Science Advances · doi:10.1126/sciadv.ade5732 · Cited by 49 · see citing works
Kesler, S. R., Acton, P., Rao, V., & Ray, W. J. (2018) · Network Neuroscience · doi:10.1162/netn_a_00048 · Cited by 34 · see citing works
“We then acquired ex vivo diffusion tensor imaging (DTI) data using a 9.4 Tesla Bruker Avance BioSpec scanner (fMRI was not available on this scanner at the time of this study).”
ResultInfluential
- Authors
- Liska, A., Galbusera, A., Schwarz, A. J., & Gozzi, A.
- Affiliations
- University of Trento (IT)
- Italian Institute of Technology (IT)
- Indiana University Bloomington (US)
- Corresponding author
- Gozzi, Alessandro
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2015-07
- Volume
- 115
- Pages
- 281-291
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2070632454
- Cited by
- 171
- References
- 9
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 17 · 2023: 15 · 2022: 15 · 2021: 15 · 2020: 22 · 2019: 16 · 2018: 17 · 2017: 19 · 2016: 9 · 2015: 4
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Iris (University of Trento) (submittedVersion)
- Funders
- Istituto Italiano di Tecnologia
- Simons Foundation (314688)
- 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
- mouse brain, functional connectome, resting-state fMRI, default mode network, large-scale brain organization, cingulate cortex, thalamus, insula, temporal association cortex
- MeSH terms
- Algorithms, Animals, Brain, Brain Mapping, Dogs, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Mice, Inbred C57BL, Nerve Net, Neural Pathways, Thalamus, Prefrontal Cortex, 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 ›
Are you an author, or do you see a problem with this page? Request a review
