4.7 Article

Olfactory bulb gamma oscillations are enhanced with task demands

Journal

JOURNAL OF NEUROSCIENCE
Volume 27, Issue 31, Pages 8358-8365

Publisher

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.1199-07.2007

Keywords

oscillations; gamma oscillations; perceptual learning; sensory acuity; beta oscillations; olfactory bulb; piriform (pyriform)

Categories

Funding

  1. NIDCD NIH HHS [R01 DC007995, F31 DC008467, R01DC007995, F31DC008467] Funding Source: Medline

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Fast oscillations in neural assemblies have been proposed as a mechanism to facilitate stimulus representation in a variety of sensory systems across animal species. In the olfactory system, intervention studies suggest that oscillations in the gamma frequency range play a role in fine odor discrimination. However, there is still no direct evidence that such oscillations are intrinsically altered in intact systems to aid in stimulus disambiguation. Here we show that gamma oscillatory power in the rat olfactory bulb during a two-alternative choice task is modulated in the intact system according to task demands with dramatic increases in gamma power during discrimination of molecularly similar odorants in contrast to dissimilar odorants. This elevation in power evolves over the course of criterion performance, is specific to the gamma frequency band (65-85 Hz), and is independent of changes in the theta or beta frequency band range. Furthermore, these high amplitudegammaoscillations are restricted to the olfactory bulb, such that concurrent piriform cortex recordings show no evidence of enhanced gamma power during these high-amplitude events. Our results display no modulation in the power of beta oscillations (15-28 Hz) shown previously to increase with odor learning in a Go/No-go task, and we suggest that the oscillatory profile of the olfactory system may be influenced by both odor discrimination demands and task type. The results reported here indicate that enhancement of local gamma power may reflect a switch in the dynamics of the system to a strategy that optimizes stimulus resolution when input signals are ambiguous.

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