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Sensory stimulation leads to structural changes within the CNS (Central Nervous System), thus providing the fundamental mechanism for learning and memory. The olfactory circuit offers a unique model for studying experience-dependent plasticity, partly due to a continuous supply of integrating adult born neurons. Our lab has recently implemented an olfactory cued learning paradigm in which specific odor pairs are coupled to either a reward or punishment to study downstream circuit changes. The following protocol outlines the basic set up for our learning paradigm. Here, we describe the equipment setup, programming of software, and method of behavioral training.
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[Abstract] Sensory stimulation leads to structural changes within the CNS (Central Nervous System), thus providing the fundamental mechanism for learning and memory. The olfactory circuit offers a unique model for studying experience-dependent plasticity, partly due to a continuous supply of integrating adult born neurons. Our lab has recently implemented an olfactory cued learning paradigm in which specific odor pairs are coupled to either a reward or punishment to study downstream circuit changes. The following protocol outlines the basic set up for our learning paradigm. Here, we describe the equipment setup, programming of software, and method of behavioral training.
Keywords: Olfactory, Circuit, Learning, Synaptic, Plasticity, Go/No-Go, Behavior
[Background] The adult brain features ongoing experience-dependent structural changes. Within the rodent olfactory bulb (OB) where odor information is first processed, a continuous supply of adult born interneurons (granule cells) either integrates into the olfactory circuitry or undergoes apoptosis (Petreanu and Alvarez-Buylla, 2002; Carleton et al., 2003; Lledo et al., 2006; Sakamoto et al., 2014). This choice between survival or death is greatly influenced by sensory stimulus and olfactory cued learning (Rochefort et al., 2002; Alonso et al., 2006). Moreover, younger granule cells also undergo experience-dependent synaptic changes within a critical time window (Yamaguchi and Mori, 2005). To examine how sensory experience affects synaptic plasticity in OB circuits, our lab has successfully implemented a Go/No-Go olfactory cued learning task (Huang et al., 2016; Quast et al., 2016). Mice are trained to associate a ‘Go Odor’ with a water reward and a separate ‘No-Go Odor’ with a punishment (trial timeout) (Figure 1). Upon completion of training, mice will be able to distinguish the two odors by performing the associated task with greater than 85% accuracy (Supplemental Video 1). Figure 1. Go/No-Go task. Trained, water-deprived mice will first poke their nose into the central odor port to initiate odor delivery. Subsequently, either a Go or No-Go odor is delivered at random. If the Go Odor is delivered, trained mice will move to either of the two side ports to collect the water reward. If the No-Go odor is delivered, trained mice will refrain from seeking water and re-poke into the odor port.
Materials and Reagents
Equipment
Software
Procedure
Data analysis
In the trained group, only mice which perform the Go/No-Go trial at > 85% accuracy was utilized in our circuit mapping experiments (Huang et al., 2016). Mice that did not meet the criteria are not included in further studies. Furthermore, olfactory learning progression can be displayed for both the initial two associated odors used in training (Figure 4A), as well as for any subsequent re-associated odors (Figure 4B). Any statistical package may be used to analyze data, with specific tests depending on the experimenter’s needs. In Huang et al. (2016), connectivity patterns in the olfactory bulb among trained, pseudotrained and control groups were compared by two-way ANOVA with repeated measures. Figure 4. Learning curve. In stage 4B, mice are presented both Go and No-Go trials at random. Average percent correct choice for sequential trial blocks (20 trials/block) are shown for a group of 5 mice (A). Error bars display standard error for the same block across all animals within one group. Re-association of novel odorants once mice are successfully trained can also be graphed similarly (B).
Notes
Recipes
Acknowledgments
This protocol is adapted from previous work within our lab (Huang et al., 2016). It is supported by the McNair Medical Institute, NINDS grant R01NS078294 to B.R.A., and NIH IDDRC grant U54HD083092. The authors declare no conflicts of interest and no competing interests.
References
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