Empirical mode decomposition of local field potential data from optogenetic experiments.
Empirical mode decomposition of local field potential data from optogenetic experiments.
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DOI：
10.3389/fncom.2023.1223879
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发表时间：
2023
影响因子：
3.2
通讯作者：
中科院分区：
文献类型：
--
作者：
本研究调查了可卡因给药和小清蛋白型中间神经元刺激对使用光遗传学工具从六只小鼠的内侧前额叶皮层（mPFC）体内记录的局部场电位（LFPs）的影响。本地网络受到短暂的10 ms激光脉冲，并且对于显示mPFC和光极之间稳定耦合的6名受试者中的每一名，在100次试验中记录响应2 s。由于LFP的强非平稳性和非线性，我们使用自适应的，数据驱动的经验模式分解（EMD）方法将信号分解成正交的本征模式函数（IMF）。通过反复试验，我们发现7个正交IMF的最佳数量与大脑活动的已知频带重叠。我们发现IMF振幅的波动性指数（IO）接近于零。每个分解的能量守恒指数（IEC）接近于1，正如正交分解所预期的那样。我们发现，功率密度分布与频率的关系遵循幂律，在IMF频率2- 2000 Hz的整个范围内，平均标度指数约为1.4。可卡因的标度指数比对照组略小，表明可卡因下的神经活动雪崩具有更长的寿命和大小。
This study investigated the effects of cocaine administration and parvalbumin-type interneuron stimulation on local field potentials (LFPs) recorded in vivo 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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影响因子：
3
作者：
Alegre-Cortes，J.;Soto-Sanchez，C.;Fernandez，E.
通讯作者：
Fernandez，E.
影响因子：
3.7
作者：
Zhu W;Zhao H;Xiang D;Chen X
通讯作者：
Chen X
影响因子：
3.5
作者：
Alegre-Cortés J;Soto-Sánchez C;Albarracín AL;Farfán FD;Val-Calvo M;Ferrandez JM;Fernandez E
通讯作者：
Fernandez E
DOI：
10.1098/rstb.2008.0331
发表时间：
2009-05-27
影响因子：
6.3
作者：
Casanova, Manuel F.;Trippe, Juan
通讯作者：
Trippe, Juan
影响因子：
8.6
作者：
Bedard, C.;Kroger, H.;Destexhe, A.
通讯作者：
Destexhe, A.