Deciphering neuronal population codes for acute thermal pain.
Deciphering neuronal population codes for acute thermal pain.
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DOI：
10.1088/1741-2552/aa644d
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发表时间：
2017-06
影响因子：
4
通讯作者：
Wang J
中科院分区：
文献类型：
--
作者：
Chen Z;Zhang Q;Tong APS;Manders TR;Wang J
疼痛被定义为与实际或潜在的组织损伤有关的不愉快的感觉和情绪体验，或用这种损伤来描述。目前对疼痛的研究主要集中在脊髓和外周水平的分子和突触变化上。然而，要完全了解疼痛的机制，需要对新皮质进行生理学研究。我们的目标是应用一种神经解码方法来读出急性热痛信号的开始，这可以用于脑机接口。我们使用微线阵列记录了自由行为大鼠初级躯体感觉皮质(S1)和前扣带回皮质(ACC)的整体神经元活动。我们进一步研究了在单细胞和群体水平上急性热痛的神经编码。为了检测急性热痛信号的开始，我们开发了一个新的潜在状态空间框架来破译分类或未分类的S1和ACC集合棘波活动，这揭示了疼痛信号的开始信息。状态空间分析使我们能够揭示驱动观察到的集合棘波活动的潜在状态过程，并在单次试验的基础上进一步检测急性热痛的“神经元阈值”。我们的方法在灵敏度和特异度方面取得了良好的检测效果。此外，我们的结果表明，检测急性热痛信号开始的最佳策略可能是基于来自S1和ACC群体编码的联合证据。我们的研究是第一次检测到基于神经元集合棘波活动的急性疼痛信号的开始。从机制的观点来看，这一点很重要，因为它与S1和ACC活动在调节急性疼痛发作中的重要性有关。
Pain is defined as an unpleasant sensory and emotional experience associated with actual or potential tissue damage, or described in terms of such damage. Current pain research mostly focuses on molecular and synaptic changes at the spinal and peripheral levels. However, a complete understanding of pain mechanisms requires the physiological study of the neocortex. Our goal is to apply a neural decoding approach to read out the onset of acute thermal pain signals, which can be used for brain–machine interface. We used micro wire arrays to record ensemble neuronal activities from the primary somatosensory cortex (S1) and anterior cingulate cortex (ACC) in freely behaving rats. We further investigated neural codes for acute thermal pain at both single-cell and population levels. To detect the onset of acute thermal pain signals, we developed a novel latent state-space framework to decipher the sorted or unsorted S1 and ACC ensemble spike activities, which reveal information about the onset of pain signals. The state space analysis allows us to uncover a latent state process that drives the observed ensemble spike activity, and to further detect the ‘neuronal threshold’ for acute thermal pain on a single-trial basis. Our method achieved good detection performance in sensitivity and specificity. In addition, our results suggested that an optimal strategy for detecting the onset of acute thermal pain signals may be based on combined evidence from S1 and ACC population codes. Our study is the first to detect the onset of acute pain signals based on neuronal ensemble spike activity. It is important from a mechanistic viewpoint as it relates to the significance of S1 and ACC activities in the regulation of the acute pain onset.
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影响因子：
7.4
作者：
Copits BA;Pullen MY;Gereau RW 4th
通讯作者：
Gereau RW 4th
影响因子：
3.7
作者：
Gu L;Uhelski ML;Anand S;Romero-Ortega M;Kim YT;Fuchs PN;Mohanty SK
通讯作者：
Mohanty SK
影响因子：
2.5
作者：
Coghill, RC;Sang, CN;Iadarola, MJ
通讯作者：
Iadarola, MJ
DOI：
10.1007/978-1-60327-323-7_4
发表时间：
2010-01-01
期刊：
ANALGESIA: METHODS AND PROTOCOLS
影响因子：
--
作者：
Boyce-Rustay, Janel M.;Honore, Prisca;Jarvis, Michael F.
通讯作者：
Jarvis, Michael F.
影响因子：
2
作者：
Kim, KJ;Yoon, YW;Chung, JM
通讯作者：
Chung, JM