Correlated inter-regional variations in low frequency local field potentials and resting state BOLD signals within S1 cortex of monkeys.
Correlated inter-regional variations in low frequency local field potentials and resting state BOLD signals within S1 cortex of monkeys.
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DOI：
10.1002/hbm.23207
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发表时间：
2016-08
影响因子：
4.8
通讯作者：
Chen LM
中科院分区：
文献类型：
--
作者：
Wilson GH 3rd;Yang PF;Gore JC;Chen LM
我们测试的假设，即特定的频率成分的自发局部场电位（LFPs）的基础低频波动的静息状态功能磁共振成像（rsfMRI）信号。我们以前的rsfMRI信号分析显示，在麻醉猴的初级躯体感觉皮层（S1）的3a，3b和1区之间的差异区域间的相关性。在这里，我们检查了S1区域之间哪些LFP带相关，以及这些区域间相关性差异如何与rsfMRI信号协变。LFP信号被过滤成七个频带（δ、θ、α、β、γ低、γ高、γ非常高），然后应用希尔伯特变换来获得感兴趣区域（ROI）数字-数字对之间的瞬时幅度和时间滞后的测量（区域3b-区域1、区域3a-区域1、区域3a-区域3b）和数字-面部对（区域3b-面部、区域1-面部和区域3a-面部）。我们发现，在delta（1-4 Hz），alpha（9- 1-4 Hz），beta（15-30 Hz）和gamma（31-50 Hz）频段中，数字-数字和数字-面部对之间的区域间相关强度的变化在不同程度上与rsfMRI信号的变化平行。数字-数字区域对之间的时间滞后在LFP波段上各不相同，区域3a主要领先于区域1/2和3b。总之，我们的数据表明，低频和中频范围（1-50 Hz）的自发LFP信号类似地与低频波动的rsfMRI信号的局部电路内的S1的共变，支持神经元电生理基础的rsfMRI信号。区域间LFP时间滞后差异提供了新的见解S1休息区之间的信息流的方向性。
We tested the hypothesis that specific frequency components of the spontaneous local field potentials (LFPs) underlie low frequency fluctuations of resting state fMRI (rsfMRI) signals. Our previous analyses of rsfMRI signals revealed differential inter-regional correlations among areas 3a, 3b and 1 of primary somatosensory cortex (S1) in anesthetized monkeys. Here we examined which LFP band(s) correlated between S1 regions, and how these inter-regional correlation differences covaried with rsfMRI signals. LFP signals were filtered into seven bands (delta, theta, alpha, beta, gamma low, gamma high, gamma very high), and then a Hilbert transformation was applied to obtain measures of instantaneous amplitudes and temporal lags between regions of interest (ROI) digit-digit pairs (areas 3b-area 1, area 3a-area 1, area 3a-area 3b) and digit-face pairs (area 3b-face, area 1-face, and area 3a-face). We found variations in the inter-regional correlation strengths between digit-digit and digit-face pairs in the delta (1–4 Hz), alpha (9–14 Hz), beta (15–30 Hz), and gamma (31–50 Hz) bands parallel those of rsfMRI signals to varying degrees. Temporal lags between digit-digit area pairs varied across LFP bands, with area 3a mostly leading areas 1/2 and 3b. In summary, our data demonstrate that the low and middle frequency range (1–50 Hz) of spontaneous LFP signals similarly covary with the low frequency fluctuations of rsfMRI signals within local circuits of S1, supporting a neuronal electrophysiological basis of rsfMRI signals. Inter-areal LFP temporal lag differences provided novel insights into the directionality of information flow among S1 areas at rest.