Granger causality analysis of rat cortical functional connectivity in pain.
Granger causality analysis of rat cortical functional connectivity in pain.
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DOI：
10.1088/1741-2552/ab6cba
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发表时间：
2020-02-07
影响因子：
4
通讯作者：
Chen ZS
中科院分区：
文献类型：
--
作者：
Guo X;Zhang Q;Singh A;Wang J;Chen ZS
初级躯体感觉皮层（S1）和前扣带皮层（ACC）是两个最重要的大脑皮层区域，分别编码疼痛的感觉-辨别和情感-情绪方面。然而，这两个区域在疼痛处理过程中的功能连接仍不清楚。开发方法来解剖皮层疼痛回路之间的功能连接和定向信息流可以揭示疼痛感知的神经机制。我们记录了多通道局部场电位（LFPs）从S1和ACC在自由行为大鼠在各种条件下的疼痛刺激（热与机械）和疼痛状态（天真与慢性疼痛）。我们对LFP记录进行了格兰杰因果分析，发现S1和ACC之间的GC统计量具有频率依赖性，在S1→ACC和ACC→S1两个方向上，伤害性疼痛刺激呈现时信息流都增加，尤其是在θ和γ频段。热刺激和机械性疼痛刺激也有类似的结果。慢性疼痛状态有共同的观察结果，除了GC测量值进一步升高，特别是在γ波段。此外，随时间变化的GC分析显示，方向特异性和频率依赖性GC和动物的缩爪潜伏期之间的负相关。此外，我们使用计算机模拟来研究模型失配、噪声、缺失变量和共同输入对条件GC估计的影响。我们还比较了GC的结果与转移熵（TE）的估计。我们的研究结果揭示了在各种疼痛条件下S1和ACC之间的功能连接和定向信息流。动态GC分析支持皮层-皮层信息回路参与痛觉知觉的假设，与计算预测编码范式一致。
The primary somatosensory cortex (S1) and the anterior cingulate cortex (ACC) are two of the most important cortical brain regions encoding the sensory-discriminative and affective-emotional aspects of pain, respectively. However, the functional connectivity of these two areas during pain processing remains unclear. Developing methods to dissect the functional connectivity and directed information flow between cortical pain circuits can reveal insight into neural mechanisms of pain perception. We recorded multichannel local field potentials (LFPs) from the S1 and ACC in freely behaving rats under various conditions of pain stimulus (thermal vs. mechanical) and pain state (naive vs. chronic pain). We applied Granger causality (GC) analysis to the LFP recordings and inferred frequency-dependent GC statistics between the S1 and ACC. We found an increased information flow during noxious pain stimulus presentation in both S1→ACC and ACC→S1 directions, especially at theta and gamma frequency bands. Similar results were found for thermal and mechanical pain stimuli. The chronic pain state shares common observations, except for further elevated GC measures especially in the gamma band. Furthermore, time-varying GC analysis revealed a negative correlation between the direction-specific and frequency-dependent GC and animal’s paw withdrawal latency. In addition, we used computer simulations to investigate the impact of model mismatch, noise, missing variables, and common input on the conditional GC estimate. We also compared the GC results with the transfer entropy (TE) estimates. Our results reveal functional connectivity and directed information flow between the S1 and ACC during various pain conditions. The dynamic GC analysis support the hypothesis of cortico-cortical information loop in pain perception, consistent with the computational predictive coding paradigm.
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影响因子：
16.2
作者：
Bastos AM;Usrey WM;Adams RA;Mangun GR;Fries P;Friston KJ
通讯作者：
Friston KJ
共同信号对功率，连贯性和Granger因果关系的影响：果蝇LFPS数据的理论综述，模拟和经验分析。
影响因子：
3
作者：
Cohen D;Tsuchiya N
通讯作者：
Tsuchiya N
影响因子：
4.8
作者：
Deuis JR;Dvorakova LS;Vetter I
通讯作者：
Vetter I
影响因子：
3.7
作者：
Pinheiro ES;de Queirós FC;Montoya P;Santos CL;do Nascimento MA;Ito CH;Silva M;Nunes Santos DB;Benevides S;Miranda JG;Sá KN;Baptista AF
通讯作者：
Baptista AF
影响因子：
1.9
作者：
Ding, MZ;Bressler, SL;Liang, HL
通讯作者：
Liang, HL