(Project 2, Liu) Oxytocin is important for many aspects of social cognition. However, it is far from understood how oxytocin acts in the brain to have its effects on social perception, learning and the formation of long-term attachments. The monogamous prairie vole (Microtus ochrogaster) is a premier animal model for studying mechanisms of attach- ment, and oxytocin acting in various reward-related brain regions is essential for prairie voles to form pair bonds. Yet exactly how oxytocin facilitates pair bonding by modulating the underlying neural circuitry during social inter- actions to form bonds is unknown, pointing to a gap in our knowledge linking neurochemical to neural circuit mechanisms of attachment. Our long-term goal is to elucidate how oxytocin modulates reward and sensory systems underlying social information processing and learning. We focus here on a key oxytocin receptor-rich node at the interface between these systems, the nucleus accumbens, which receives inputs from other oxytocin receptor-dense areas, the medial prefrontal cortex (Aim 1) and the basolateral amygdala (Aim 2). Our objective here is to determine whether manipulating the oxytocin system to impair or enhance pair bonding affects nucleus accumbens' functional connectivity with its mPFC and BLA inputs. Our central hypothesis is that oxytocin nor- mally acts to improve communication from reward and cue processing areas to local NAc circuits that integrate these channels of information during specific social interactions, helping to reinforce the ability of partner signals to elicit affiliative behavior. We validate this hypothesis using both loss-of-function and gain-of-function experi- mental designs, as well as optogenetics to test causality. The rationale for our proposal is that, once we know how oxytocin affects neural circuitry between brain areas to facilitate the formation of a selective attachment, we can begin to elucidate the molecular mechanisms for plasticity within these circuits.

Agency
National Institute of Health (NIH)
Institute
National Institute of Mental Health (NIMH)
Type
Specialized Center (P50)
Project #
5P50MH100023-09
Application #
10090654
Study Section
Special Emphasis Panel (ZMH1)
Project Start
2013-07-01
Project End
2023-01-31
Budget Start
2021-02-01
Budget End
2022-01-31
Support Year
9
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Emory University
Department
Type
DUNS #
066469933
City
Atlanta
State
GA
Country
United States
Zip Code
30322
Dobolyi, Arpad; Cservenák, Melinda; Young, Larry J (2018) Thalamic integration of social stimuli regulating parental behavior and the oxytocin system. Front Neuroendocrinol 51:102-115
Rogers, Christina N; Ross, Amy P; Sahu, Shweta P et al. (2018) Oxytocin- and arginine vasopressin-containing fibers in the cortex of humans, chimpanzees, and rhesus macaques. Am J Primatol 80:e22875
Ortiz, Juan J; Portillo, Wendy; Paredes, Raul G et al. (2018) Resting state brain networks in the prairie vole. Sci Rep 8:1231
Putnam, Philip T; Young, Larry J; Gothard, Katalin M (2018) Bridging the gap between rodents and humans: The role of non-human primates in oxytocin research. Am J Primatol 80:e22756
Bosch, Oliver J; Young, Larry J (2018) Oxytocin and Social Relationships: From Attachment to Bond Disruption. Curr Top Behav Neurosci 35:97-117
Andari, Elissar; Hurlemann, Rene; Young, Larry J (2018) A Precision Medicine Approach to Oxytocin Trials. Curr Top Behav Neurosci 35:559-590
Miranda-Dominguez, Oscar; Feczko, Eric; Grayson, David S et al. (2018) Heritability of the human connectome: A connectotyping study. Netw Neurosci 2:175-199
Li, Gaizhi; Liu, Penghong; Andari, Elissar et al. (2018) The Role of Amygdala in Patients With Euthymic Bipolar Disorder During Resting State. Front Psychiatry 9:445
Walum, Hasse; Young, Larry J (2018) The neural mechanisms and circuitry of the pair bond. Nat Rev Neurosci 19:643-654
Pohl, Tobias T; Young, Larry J; Bosch, Oliver J (2018) Lost connections: Oxytocin and the neural, physiological, and behavioral consequences of disrupted relationships. Int J Psychophysiol :

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