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

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 +5 more·2014·Proceedings of the National Academy of Sciences

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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  1. [22]Nasrallah FA, Tay HC, Chuang KH. Detection of functional connectivity in the resting mouse brain. Neuroimage. 2014;86:417–424. doi: 10.1016/j.neuroimage.2013.10.025. [[DOI](https://doi.org/10.1016/j.neuroimage.2013.10.025)] [[PubMed](https://pubmed.ncbi.nlm.nih.gov/24157920/)] [[Google Scholar](https://scholar.google.com/scholar_lookup?journal=Neuroimage&title=Detection%20of%20functional%20connectivity%20in%20the%20resting%20mouse%20brain&author=FA%20Nasrallah&author=HC%20Tay&author=KH%20Chuang&volume=86&publication_year=2014&pages=417-424&pmid=24157920&doi=10.1016/j.neuroimage.2013.10.025&)] · DOI

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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)
Venue
Proceedings of the National Academy of Sciences
Published
2014-12-15
Volume
111
Issue
52
Pages
18745-18750
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
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
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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