Cited by 229Functional Brain Connectivity StudiesAdvanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

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Large-scale topology and the default mode network in the mouse connectome

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Stafford, James M., Jarrett, Benjamin R., Miranda-Dominguez, Oscar, Mills, Brian D., Cain, Nicholas, Mihalas, Stefan, Lahvis, Garet P., Lattal, K. Matthew, Mitchell, Suzanne H., David, Stephen V., Fryer, John D., Nigg, Joel T., Fair, Damien A.·2014·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.1404346111PMC PMC4284535

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Abstract

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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Functional brain mapping using specific sensory-circuit stimulation and a theoretical graph network analysis in mice with neuropathic allodynia
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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: Stafford, James M.
Mills, Brian D.
Cain, Nicholas
Lahvis, Garet P.
Lattal, K. Matthew
Mitchell, Suzanne H.
David, Stephen V.
Fryer, John D.
Nigg, Joel T.
Fair, Damien A.
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
DOI: 10.1073/pnas.1404346111
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
Licence: www.pnas.org/site/misc/userlicense.xhtml (vor, 197 d)
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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Large-scale topology and the default mode network in the mouse connectome

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