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Low β2 Main Peak Frequency in the Electroencephalogram Signs Vulnerability to Depression

Overview of attention for article published in Frontiers in Neuroscience, November 2016
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Title
Low β2 Main Peak Frequency in the Electroencephalogram Signs Vulnerability to Depression
Published in
Frontiers in Neuroscience, November 2016
DOI 10.3389/fnins.2016.00495
Pubmed ID
Authors

Damien Claverie, Chrystel Becker, Antoine Ghestem, Mathieu Coutan, Françoise Camus, Christophe Bernard, Jean-Jacques Benoliel, Frédéric Canini

Abstract

Objective: After an intense and repeated stress some rats become vulnerable to depression. This state is characterized by persistent low serum BDNF concentration. Our objective was to determine whether electrophysiological markers can sign vulnerability to depression. Methods: Forty-three Sprague Dawley rats were recorded with supradural electrodes above hippocampus and connected to wireless EEG transmitters. Twenty-nine animals experienced four daily social defeats (SD) followed by 1 month recovery. After SD, 14 rats had persistent low serum BDNF level and were considered as vulnerable (V) while the 15 others were considered as non-vulnerable (NV). EEG signals were analyzed during active waking before SD (Baseline), just after SD (Post-Stress) and 1 month after SD (Recovery). Results: We found that V animals are characterized by higher high θ and α spectral relative powers and lower β2 main peak frequency before SD. These differences are maintained at Post-Stress and Recovery for α spectral relative powers and β2 main peak frequency. Using ROC analysis, we show that low β2 main peak frequency assessed during Baseline is a good predictor of the future state of vulnerability to depression. Conclusion: Given the straightforwardness of EEG recordings, these results open the way to prospective studies in humans aiming to identify population at-risk for depression.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 6%
Unknown 15 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 31%
Professor 2 13%
Unspecified 1 6%
Librarian 1 6%
Student > Bachelor 1 6%
Other 2 13%
Unknown 4 25%
Readers by discipline Count As %
Neuroscience 4 25%
Biochemistry, Genetics and Molecular Biology 2 13%
Medicine and Dentistry 2 13%
Unspecified 1 6%
Chemistry 1 6%
Other 1 6%
Unknown 5 31%
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 02 November 2016.
All research outputs
#19,945,185
of 25,374,917 outputs
Outputs from Frontiers in Neuroscience
#8,670
of 11,541 outputs
Outputs of similar age
#231,219
of 317,143 outputs
Outputs of similar age from Frontiers in Neuroscience
#89
of 135 outputs
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