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Beta and gamma oscillatory activities associated with olfactory memory tasks: different rhythms for different functional networks?

Overview of attention for article published in Frontiers in Behavioral Neuroscience, June 2014
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Title
Beta and gamma oscillatory activities associated with olfactory memory tasks: different rhythms for different functional networks?
Published in
Frontiers in Behavioral Neuroscience, June 2014
DOI 10.3389/fnbeh.2014.00218
Pubmed ID
Authors

Claire Martin, Nadine Ravel

Abstract

Olfactory processing in behaving animals, even at early stages, is inextricable from top down influences associated with odor perception. The anatomy of the olfactory network (olfactory bulb, piriform, and entorhinal cortices) and its unique direct access to the limbic system makes it particularly attractive to study how sensory processing could be modulated by learning and memory. Moreover, olfactory structures have been early reported to exhibit oscillatory population activities easy to capture through local field potential recordings. An attractive hypothesis is that neuronal oscillations would serve to "bind" distant structures to reach a unified and coherent perception. In relation to this hypothesis, we will assess the functional relevance of different types of oscillatory activity observed in the olfactory system of behaving animals. This review will focus primarily on two types of oscillatory activities: beta (15-40 Hz) and gamma (60-100 Hz). While gamma oscillations are dominant in the olfactory system in the absence of odorant, both beta and gamma rhythms have been reported to be modulated depending on the nature of the olfactory task. Studies from the authors of the present review and other groups brought evidence for a link between these oscillations and behavioral changes induced by olfactory learning. However, differences in studies led to divergent interpretations concerning the respective role of these oscillations in olfactory processing. Based on a critical reexamination of those data, we propose hypotheses on the functional involvement of beta and gamma oscillations for odor perception and memory.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 3 2%
Chile 2 1%
Netherlands 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
Unknown 143 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 32 21%
Student > Ph. D. Student 30 20%
Student > Master 21 14%
Student > Bachelor 12 8%
Student > Postgraduate 8 5%
Other 28 19%
Unknown 20 13%
Readers by discipline Count As %
Neuroscience 47 31%
Agricultural and Biological Sciences 46 30%
Psychology 9 6%
Medicine and Dentistry 5 3%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 17 11%
Unknown 23 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 July 2014.
All research outputs
#15,302,478
of 22,758,248 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,212
of 3,160 outputs
Outputs of similar age
#133,725
of 228,088 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#49
of 70 outputs
Altmetric has tracked 22,758,248 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,160 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 228,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.