Natural Neural Projection Dynamics Underlying Social Behavior

被引:990
作者
Gunaydin, Lisa A. [1 ]
Grosenick, Logan [1 ,2 ]
Finkelstein, Joel C. [1 ]
Kauvar, Isaac V. [1 ]
Fenno, Lief E. [1 ,2 ]
Adhikari, Avishek [1 ]
Lammel, Stephan [3 ]
Mirzabekov, Julie J. [1 ]
Airan, Raag D. [1 ]
Zalocusky, Kelly A. [1 ,2 ]
Tye, Kay M. [1 ]
Anikeeva, Polina [1 ]
Malenka, Robert C. [3 ]
Deisseroth, Karl [1 ,3 ,4 ]
机构
[1] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[2] Stanford Univ, Neurosci Program, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Psychiat & Behav Sci, Stanford, CA 94305 USA
[4] Stanford Univ, Howard Hughes Med Inst, Stanford, CA 94305 USA
关键词
VENTRAL TEGMENTAL AREA; IN-VIVO CONTROL; NUCLEUS-ACCUMBENS; DOPAMINE RELEASE; CALCIUM INDICATOR; NEURONAL-ACTIVITY; INBRED STRAINS; PRAIRIE VOLES; REWARD; MICE;
D O I
10.1016/j.cell.2014.05.017
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Social interaction is a complex behavior essential for many species and is impaired in major neuropsychiatric disorders. Pharmacological studies have implicated certain neurotransmitter systems in social behavior, but circuit-level understanding of endogenous neural activity during social interaction is lacking. We therefore developed and applied a new methodology, termed fiber photometry, to optically record natural neural activity in genetically and connectivity-defined projections to elucidate the realtime role of specified pathways in mammalian behavior. Fiber photometry revealed that activity dynamics of a ventral tegmental area (VTA)-to-nucleus accumbens (NAc) projection could encode and predict key features of social, but not novel object, interaction. Consistent with this observation, optogenetic control of cells specifically contributing to this projection was sufficient to modulate social behavior, which was mediated by type 1 dopamine receptor signaling downstream in the NAc. Direct observation of deep projection-specific activity in this way captures a fundamental and previously inaccessible dimension of mammalian circuit dynamics.
引用
收藏
页码:1535 / 1551
页数:17
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