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Mihalaş, Ştefan

0000-0002-2629-7100

Mayo Clinic

Allen Institute for Brain Science

Citations 1

Large-scale topology and the default mode network in the mouse connectome
Stafford, James M. , Jarrett, Benjamin R., Miranda-Domínguez, Óscar , Mills, Brian D. , Cain, Nicholas , Lahvis, Garet P. , Lattal, K. Matthew , Mitchell, Suzanne H. , David, Stephen V. , Fryer, John Denis , Fryer, John D., Mihalaş, Ştefan , Nigg, Joel T. , Fair, Damien A.

Proceedings of the National Academy of Sciences | December 15, 2014 | Volume: 111 | Issue: 52 | Pages: 18745-18750

10.1073/pnas.1404346111 Get It

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.