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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)”
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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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Cites
A default mode of brain function
Raichle, M. E., MacLeod, A. M., Snyder, A. Z., Powers, W. J., Gusnard, D. A., & Shulman, G. L. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.2.676 · Cited by 12,190
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173
Greicius, M. D., Srivastava, G., Reiss, A. L., & Menon, V. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308627101 · Cited by 3,684
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
Functional-anatomic fractionation of the brain’s default network
Andrews-Hanna, J. R., Reidler, J. S., Sepulcre, J., Poulin, R., & Buckner, R. L. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.005 · Cited by 2,767
A mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612
Self-citationRich-club organization of the human connectome
van den Heuvel, M. P., & Sporns, O. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.3539-11.2011 · Cited by 2,354
Neurodegenerative Diseases Target Large-Scale Human Brain Networks
Seeley, W. W., Crawford, R. K., Zhou, J., Miller, B. L., & Greicius, M. D. (2009) · Neuron · doi:10.1016/j.neuron.2009.03.024 · Cited by 2,350
Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
Greicius, M. D., Supekar, K., Menon, V., & Dougherty, R. F. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn059 · Cited by 2,175
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
Common blood flow changes across visual tasks: II. Decreases in cerebral cortex
Shulman, G. L., Fiez, J. A., Corbetta, M., Buckner, R. L., Miezin, F. M., Raichle, M. E., & Petersen, S. E. (1997) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.1997.9.5.648 · Cited by 1,890
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786
Network structure of cerebral cortex shapes functional connectivity on multiple time scales
Honey, C. J., Kötter, R., Breakspear, M. J., & Sporns, O. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701519104 · Cited by 1,727
Default-mode brain dysfunction in mental disorders: A systematic review
Broyd, S. J., Demanuele, C., Debener, S., Helps, S. K., James, C. J., & Sonuga-Barke, E. J. S. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2008.09.002 · Cited by 1,675
The maturing architecture of the brain's default network
Fair, D. A., Cohen, A. L., Dosenbach, N. U. F., Church, J. A., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0800376105 · Cited by 1,314
Self-citationDevelopment of distinct control networks through segregation and integration
Fair, D. A., Dosenbach, N. U. F., Church, J. A., Cohen, A. L., Brahmbhatt, S., Miezin, F. M., Barch, D. M., Raichle, M. E., Petersen, S. E., & Schlaggar, B. L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0705843104 · Cited by 1,244
Self-citationAn Integrated Software Suite for Surface-based Analyses of Cerebral Cortex
Essen, D. C. V., Drury, H. A., Dickson, J., Harwell, J., Hanlon, D., & Anderson, C. H. (2001) · Journal of the American Medical Informatics Association · doi:10.1136/jamia.2001.0080443 · Cited by 1,100
The Rhesus Monkey Brain in Stereotaxic Coordinates
Paxinos, G., Huang, X., & Toga, A. W. (1999) · Research Online (University of Wollongong) · Cited by 1,070
Detecting rich-club ordering in complex networks
Colizza, V., Flammini, A., Serrano, M. A., & Vespignani, A. (2006) · Nature Physics · doi:10.1038/nphys209 · Cited by 1,001
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987
Neural basis of global resting-state fMRI activity
Schölvinck, M. L., Maier, A., Ye, F. Q., Duyn, J. H., & Leopold, D. A. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913110107 · Cited by 939
The evolution of distributed association networks in the human brain
Buckner, R. L., & Krienen, F. M. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.09.017 · Cited by 836 · cited 3×
“In addition, similarities of the frontal cortex are minimal between the rodent and humans (48).”
BackgroundAnatomically related grey and white matter abnormalities in adolescent-onset schizophrenia
Douaud, G., Smith, S. M., Jenkinson, M., Behrens, T. E. J., Johansen‐Berg, H., Vickers, J., James, S., Voets, N., Watkins, K. E., Matthews, P. M., et al. (2007) · Brain · doi:10.1093/brain/awm184 · Cited by 781
White matter maturation reshapes structural connectivity in the late developing human brain
Hagmann, P., Sporns, O., Madan, N., Cammoun, L., Pienaar, R., Wedeen, V. J., Meuli, R., Thiran, J.-P., & Grant, P. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009073107 · Cited by 700
Evidence for the Default Network's Role in Spontaneous Cognition
Andrews-Hanna, J. R., Reidler, J. S., Huang, C., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00830.2009 · Cited by 685
Abnormal Rich Club Organization and Functional Brain Dynamics in Schizophrenia
van den Heuvel, M. P., Sporns, O., Collin, G., Scheewe, T. W., Mandl, R. C. W., Cahn, W., Goñi, J., Pol, H. E. H., & Kahn, R. S. (2013) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2013.1328 · Cited by 649
Rat brains also have a default mode network
Lu, H., Zou, Q., Gu, H., Raichle, M. E., Stein, E. A., & Yang, Y. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1200506109 · Cited by 622
The Rich-Club Phenomenon in the Internet Topology
Zhou, S., & Mondragón, R. J. (2004) · IEEE Communications Letters · doi:10.1109/lcomm.2004.823426 · Cited by 618
Surface-Based and Probabilistic Atlases of Primate Cerebral Cortex
Essen, D. C. V., & Dierker, D. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.015 · Cited by 540
An investigation of functional and anatomical connectivity using magnetic resonance imaging
Koch, M. A., Norris, D. G., & Hund-Georgiadis, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.1052 · Cited by 509
Macaque monkey retrosplenial cortex: III. Cortical efferents
Kobayashi, Y., & Amaral, D. G. (2007) · The Journal of Comparative Neurology · doi:10.1002/cne.21346 · Cited by 487
The organization of dorsal frontal cortex in humans and macaques
Sallet, J., Mars, R. B., Noonan, M. P., Neubert, F.-X., Jbabdi, S., O'Reilly, J. X., Filippini, N., Thomas, A. G., & Rushworth, M. F. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.5108-12.2013 · Cited by 416
Macaque monkey retrosplenial cortex: II. Cortical afferents
Kobayashi, Y., & Amaral, D. G. (2003) · The Journal of Comparative Neurology · doi:10.1002/cne.10883 · Cited by 387
Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder
Fair, D. A., Posner, J., Nagel, B. J., Bathula, D., Dias, T. G. C., Mills, K. L., Blythe, M. S., Giwa, A., Schmitt, C. F., & Nigg, J. T. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.003 · Cited by 354
Self-citationvan Meer, M. P. A., van der Marel, K., Wang, K., Otte, W. M., el Bouazati, S., Roeling, T. A. P., Viergever, M. A., van der Sprenkel, J. W. B., & Dijkhuizen, R. M. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5709-09.2010 · Cited by 352
van den Heuvel, M., Mandl, R., Luigjes, J., & Hulshoff Pol, H. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.2964-08.2008 · Cited by 349
Cytoarchitecture of mouse and rat cingulate cortex with human homologies
Vogt, B. A., & Paxinos, G. (2014) · Brain Structure and Function · doi:10.1007/s00429-012-0493-3 · Cited by 348
The Rich Club of the C. elegans Neuronal Connectome
Towlson, E. K., Vértes, P. E., Ahnert, S. E., Schafer, W. R., & Bullmore, E. T. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.3784-12.2013 · Cited by 343 · cited 1×
“This finding would be similar to prior work, which has shown the presence of the Rich Club in other model systems (12, 36, 37) using a more tradition coefficient measure (Figs.”
ResultA modality‐independent approach to spatial normalization of tomographic images of the human brain
Lancaster, J. L., Glass, T. G., Lankipalli, B. R., Downs, H., Mayberg, H. S., & Fox, P. T. (1995) · Human Brain Mapping · doi:10.1002/hbm.460030305 · Cited by 256
Imaging of Functional Connectivity in the Mouse Brain
White, B. R., Bauer, A. Q., Snyder, A. Z., Schlaggar, B. L., Lee, J.-M., & Culver, J. P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016322 · Cited by 253
Jonckers, E., Audekerke, J. V., Visscher, G. D., der Linden, A. V., & Verhoye, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0018876 · Cited by 228
Architecture and connections of retrosplenial area 30 in the rhesus monkey (macaca mulatta).
Morris, R., Petrides, M., & Pandya, D. Ν. (1999) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.1999.00672.x · Cited by 226
Wang, Z., Chen, L. M., Négyessy, L., Friedman, R. M., Mishra, A., Gore, J. C., & Roe, A. W. (2013) · Neuron · doi:10.1016/j.neuron.2013.04.023 · Cited by 210
Resting‐state functional connectivity of the rat brain
Pawela, C. P., Biswal, B. B., Cho, Y. R., Kao, D. S., Li, R., Jones, S. R., Schulte, M. L., Matloub, H. S., Hudetz, A. G., & Hyde, J. S. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21524 · Cited by 200
Cortical parcellations of the macaque monkey analyzed on surface-based atlases.
van Essen, D., Glasser, M., Dierker, D. L., & Harwell, J. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr290 · Cited by 198
Structural and functional rich club organization of the brain in children and adults
Grayson, D. S., Ray, S., Carpenter, S., Iyer, S., Dias, T. G. C., Stevens, C., Nigg, J. T., & Fair, D. A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0088297 · Cited by 187
Self-citationMaturing thalamocortical functional connectivity across development
Fair (2010) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2010.00010 · Cited by 171
Ray, S., Miller, M., Karalunas, S., Robertson, C., Grayson, D. S., Cary, R. P., Hawkey, E., Painter, J. G., Kriz, D., Fombonne, E., et al. (2014) · Human Brain Mapping · doi:10.1002/hbm.22603 · Cited by 149
Self-citationPawela, C. P., Biswal, B. B., Hudetz, A. G., Schulte, M. L., Li, R., Jones, S. R., Cho, Y. R., Matloub, H. S., & Hyde, J. S. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.03.004 · Cited by 143
Miranda-Dominguez, O., Mills, B. D., Grayson, D., Woodall, A., Grant, K. A., Kroenke, C. D., & Fair, D. A. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.4229-13.2014 · Cited by 130
Self-citationDetection of functional connectivity in the resting mouse brain
Nasrallah, F. A., Tay, H. C., & Chuang, K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.025 · Cited by 110
Default-Mode-Like Network Activation in Awake Rodents
Upadhyay, J., Baker, S. J., Chandran, P., Miller, L. N., Lee, Y., Marek, G. J., Sakoğlu, Ü., Chin, C., Luo, F. R., Fox, G. B., et al. (2011) · PLoS ONE · doi:10.1371/journal.pone.0027839 · Cited by 100
Cytology of human caudomedial cingulate, retrosplenial, and caudal parahippocampal cortices
Vogt, B. A., Vogt, L. J., Perl, D. P., & Hof, P. R. (2001) · The Journal of Comparative Neurology · doi:10.1002/cne.1320 · Cited by 99
Hutchinson, E. B., Pulsipher, D. T., Dabbs, K., y Gutierrez, A. M., Sheth, R. D., Jones, J. E., Seidenberg, M., Meyerand, M. E., & Hermann, B. P. (2009) · Epilepsy Research · doi:10.1016/j.eplepsyres.2009.11.011 · Cited by 92
Fine-grained mapping of mouse brain functional connectivity with resting-state fMRI
Mechling, A. E., Hübner, N. S., Lee, H., Hennig, J., von Elverfeldt, D., & Harsan, L. A. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.078 · Cited by 82
Resting State fMRI Reveals Diminished Functional Connectivity in a Mouse Model of Amyloidosis
Shah, D., Jonckers, E., Praet, J., Vanhoutte, G., Delgado y Palacios, R., Bigot, C., D’Souza, D. V., Verhoye, M., & Van der Linden, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0084241 · Cited by 82
Cingulate Cortex and Disease Models
Vogt, B. A., Vogt, L. J., & Farber, N. B. (2004) · Elsevier eBooks · doi:10.1016/b978-012547638-6/50023-7 · Cited by 75
Dietary Omega-3 Fatty Acids Modulate Large-Scale Systems Organization in the Rhesus Macaque Brain
Grayson, D. S., Kroenke, C. D., Neuringer, M., & Fair, D. A. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.3038-13.2014 · Cited by 68
Self-citationPawela, C. P., Hudetz, A. G., Ward, B. D., Schulte, M. L., Li, R., Kao, D. S., Mauck, M. C., Cho, Y. R., Neitz, J., & Hyde, J. S. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.02.022 · Cited by 54
Stephan, K. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.016 · Cited by 39
Logothetis, N. K. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.033 · Cited by 32
Little, D. M., Foxely, S., & Lazarov, O. (2012) · Journal of Alzheimer s Disease · doi:10.3233/jad-2012-111508 · Cited by 19
Shim, W. H., Baek, K., Kim, J. K., Chae, Y., Suh, J., Rosen, B. R., Jeong, J., & Kim, Y. R. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00332.2012 · Cited by 13
A Multivariate Method for Comparing N-dimensional Distributions
Loudin, J. (2003) · Cited by 11
van Essen, D. (2003) · The MIT Press eBooks · doi:10.7551/mitpress/3136.003.0004 · Cited by 7
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Liao, X., Vasilakos, A. V., & Yong He, A. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.03.018 · Cited by 443
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“5) are attainable across species (Grayson et al., 2016; Miranda-Dominguez et al., 2014b; Stafford et al., 2014; Hutchison et al., 2015; Hutchison and Everling, 2012; Margulies et al., 2009).”
BackgroundSelf-citationRudolph, M. D., Graham, A. M., Feczko, E., Miranda-Dominguez, O., Rasmussen, J. M., Nardos, R., Entringer, S., Wadhwa, P. D., Buss, C., & Fair, D. A. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0128-y · Cited by 374
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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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