Empirical mode decomposition of local field potential data from optogenetic experiments

This study investigated the effects of cocaine administration and parvalbumin-type interneuron stimulation on local field potentials (LFPs) recorded from the medial prefrontal cortex (mPFC) of six mice using optogenetic tools. The local network was subject to a brief 10 ms laser pulse, and the respo...

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Published inFrontiers in computational neuroscience Vol. 17; p. 1223879
Main Authors Oprisan, Sorinel A., Clementsmith, Xandre, Tompa, Tamas, Lavin, Antonieta
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Research Foundation 05.07.2023
Frontiers Media S.A
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Summary:This study investigated the effects of cocaine administration and parvalbumin-type interneuron stimulation on local field potentials (LFPs) recorded from the medial prefrontal cortex (mPFC) of six mice using optogenetic tools. The local network was subject to a brief 10 ms laser pulse, and the response was recorded for 2 s over 100 trials for each of the six subjects who showed stable coupling between the mPFC and the optrode. Due to the strong non-stationary and nonlinearity of the LFP, we used the adaptive, data-driven, Empirical Mode Decomposition (EMD) method to decompose the signal into orthogonal Intrinsic Mode Functions (IMFs). Through trial and error, we found that seven is the optimum number of orthogonal IMFs that overlaps with known frequency bands of brain activity. We found that the Index of Orthogonality (IO) of IMF amplitudes was close to zero. The Index of Energy Conservation (IEC) for each decomposition was close to unity, as expected for orthogonal decompositions. We found that the power density distribution vs. frequency follows a power law with an average scaling exponent of ~1.4 over the entire range of IMF frequencies 2-2,000 Hz. The scaling exponent is slightly smaller for cocaine than the control, suggesting that neural activity avalanches under cocaine have longer life spans and sizes.
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Edited by: Kelly Cristiane Iarosz, University of São Paulo, Brazil
Reviewed by: Arthur Valencio, North Carolina State University, United States; Enrique Chipicoski Gabrick, Universidade Estadual de Ponta Grossa, Brazil; Caroline Alves, Aschaffenburg University of Applied Sciences, Germany
ISSN:1662-5188
1662-5188
DOI:10.3389/fncom.2023.1223879