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Role of frequency mismatch in neuronal communication through coherence

Overview of attention for article published in Journal of Computational Neuroscience, February 2014
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Title
Role of frequency mismatch in neuronal communication through coherence
Published in
Journal of Computational Neuroscience, February 2014
DOI 10.1007/s10827-014-0495-7
Pubmed ID
Authors

Belén Sancristóbal, Raul Vicente, Jordi Garcia-Ojalvo

Abstract

Neuronal gamma oscillations have been described in local field potentials of different brain regions of multiple species. Gamma oscillations are thought to reflect rhythmic synaptic activity organized by inhibitory interneurons. While several aspects of gamma rhythmogenesis are relatively well understood, we have much less solid evidence about how gamma oscillations contribute to information processing in neuronal circuits. One popular hypothesis states that a flexible routing of information between distant populations occurs via the control of the phase or coherence between their respective oscillations. Here, we investigate how a mismatch between the frequencies of gamma oscillations from two populations affects their interaction. In particular, we explore a biophysical model of the reciprocal interaction between two cortical areas displaying gamma oscillations at different frequencies, and quantify their phase coherence and communication efficiency. We observed that a moderate excitatory coupling between the two areas leads to a decrease in their frequency detuning, up to ∼6 Hz, with no frequency locking arising between the gamma peaks. Importantly, for similar gamma peak frequencies a zero phase difference emerges for both LFP and MUA despite small axonal delays. For increasing frequency detunings we found a significant decrease in the phase coherence (at non-zero phase lag) between the MUAs but not the LFPs of the two areas. Such difference between LFPs and MUAs behavior is due to the misalignment between the arrival of afferent synaptic currents and the local excitability windows. To test the efficiency of communication we evaluated the success of transferring rate-modulations between the two areas. Our results indicate that once two populations lock their peak frequencies, an optimal phase relation for communication appears. However, the sensitivity of locking to frequency mismatch suggests that only a precise and active control of gamma frequency could enable the selection of communication channels and their directionality.

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Geographical breakdown

Country Count As %
Portugal 1 2%
Germany 1 2%
Netherlands 1 2%
Spain 1 2%
United States 1 2%
Unknown 53 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 41%
Researcher 12 21%
Professor 4 7%
Professor > Associate Professor 4 7%
Student > Master 4 7%
Other 7 12%
Unknown 3 5%
Readers by discipline Count As %
Neuroscience 21 36%
Agricultural and Biological Sciences 9 16%
Physics and Astronomy 9 16%
Psychology 6 10%
Mathematics 3 5%
Other 6 10%
Unknown 4 7%
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 07 November 2015.
All research outputs
#15,226,423
of 22,639,270 outputs
Outputs from Journal of Computational Neuroscience
#169
of 306 outputs
Outputs of similar age
#192,545
of 312,784 outputs
Outputs of similar age from Journal of Computational Neuroscience
#2
of 3 outputs
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So far Altmetric has tracked 306 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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