A critical role for NMDA receptors in parvalbumin interneurons for gamma induction and behavior
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Author(s)
Jones, S. R.
Deisseroth, Karl
Carlen, Marie
Meletis, Konstantinos
Siegle, Joshua Handman
Cardin, Jessica A.
Futai, Kensuke
Vierling-Claassen, Dorea L.
Ruhlmann, C.
Sheng, Morgan Hwa-Tze
Date Issued
April 2011
Journal
Molecular Psychiatry
Publisher
Nature Publishing Group
Citation
Carlén, M et al. “A Critical Role for NMDA Receptors in Parvalbumin Interneurons for Gamma Rhythm Induction and Behavior.” Molecular Psychiatry 17.5 (2011): 537–548. Web. 27 June 2012. © 2012 Macmillan Publishers Limited
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Author's final manuscript
Abstract
Synchronous recruitment of fast-spiking (FS) parvalbumin (PV) interneurons generates gamma oscillations, rhythms that emerge during performance of cognitive tasks. Administration of N-methyl-D-aspartate (NMDA) receptor antagonists alters gamma rhythms, and can induce cognitive as well as psychosis-like symptoms in humans. The disruption of NMDA receptor (NMDAR) signaling specifically in FS PV interneurons is therefore hypothesized to give rise to neural network dysfunction that could underlie these symptoms. To address the connection between NMDAR activity, FS PV interneurons, gamma oscillations and behavior, we generated mice lacking NMDAR neurotransmission only in PV cells (PV-Cre/NR1f/f mice). Here, we show that mutant mice exhibit enhanced baseline cortical gamma rhythms, impaired gamma rhythm induction after optogenetic drive of PV interneurons and reduced sensitivity to the effects of NMDAR antagonists on gamma oscillations and stereotypies. Mutant mice show largely normal behaviors except for selective cognitive impairments, including deficits in habituation, working memory and associative learning. Our results provide evidence for the critical role of NMDAR in PV interneurons for expression of normal gamma rhythms and specific cognitive behaviors.
MIT Department
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Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Picower Institute for Learning and Memory
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DOI of Published Version
https://doi.org/10.1038/mp.2011.31
