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Large-scale topology and the default mode network in the mouse connectome
Open accessAbstract
Significance: Noninvasive brain imaging holds great promise for expanding our capabilities of treating human neurologic and psychiatric disorders. However, key limitations exist in human-only studies, and the ability to use animal models would greatly advance our understanding of human brain function. Mice offer sophisticated genetic and molecular methodology, but correlating these data to functional brain imaging in the mouse brain has remained a major hurdle. This study is the first, to our knowledge, to use whole-brain functional imaging to show large-scale functional architecture with structural correlates in the mouse. Perhaps more important is the finding of conservation in brain topology and default network among rodents and primates, thereby clearing the way for a bridge measurement between human and mouse models.
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“Connectome properties have been shown to be preserved across species and therefore provide a unique translational bridge between preclinical and clinical studies (Gorges et al., 2017; Oh et al., 2014; Stafford et al., 2014; van den Heuvel, Bullmore, & Sporns, 2016).”
From Functional and structural connectome properties in the 5XFAD transgenic mouse model of Alzheimer’s disease (2018) · cites this paper as Stafford et al., 2014
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“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 Stafford et al., 2014
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“network properties and structure-function relationships supporting sensory and cognitive function (see Figure 5) are attainable across species (Grayson et al., 2016; Miranda-Dominguez et al., 2014b; Stafford et al., 2014).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Stafford et al., 2014
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Metadata
- Authors
- 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., Fryer, J. D., Nigg, J. T., & Fair, D. A.
- Affiliations
- New York University (US)
- Departments of bBehavioral Neuroscience and
- Allen Institute for Brain Science (US)
- Allen Institute for Brain Science, Seattle, WA 98103; and
- Oregon Health & Science University (US)
- Mayo Clinic (US)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-12-15
- Volume
- 111
- Issue
- 52
- Pages
- 18745-18750
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4284535
- OpenAlex
- W2015376003
- Cited by
- 229
- References
- 67
- Citations by year
- 2026: 11 · 2025: 4 · 2024: 15 · 2023: 17 · 2022: 26 · 2021: 20 · 2020: 31 · 2019: 21 · 2018: 32 · 2017: 22 · 2016: 19 · 2015: 11
- FWCI
- 9.67
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Oregon Clinical and Translational Research Institute (UL1TR000128)
- HHS | NIH | National Institute of Mental Health (NIMH) (R01 MH096773, R00 MH091238, F31MH087031)
- National Institute of Alcohol Abuse and Alcoholism (F32AA022842)
- Simons Foundation (SF) (Junior Fellow)
- 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
- default mode network, resting-state functional connectivity, structural connectome, translational neuroscience
- MeSH terms
- Animals, Axons, Disease Models, Animal, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Nervous System Diseases, Psychotic Disorders, Mice, Connectome
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