Revealing the Dynamic Relationship Between Neural Population Activities in Corticoraphe System

C. Behera, Ruairi O’Sullivan, J. Sanchez-Bornot, Alok Joshi, G. Prasad, T. Sharp, KongFatt Wong-Lin
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Abstract

Studies have shown that the firing activity of single neurons in brainstem dorsal raphe nucleus (DRN) is linked to slow-wave oscillations in the cortex, especially the frontal cortex. However, most studies consist of either single DRN neuronal or single-channel electrocorticogram (ECoG) recording. Hence, it is unclear how a population of DRN neurons with electrophysiologically diverse characteristics can coordinate and relate to the oscillatory rhythms in different cortical regions. In this work, we explored the technical feasibility of such an investigation. We simultaneously recorded extracellularly a group of DRN neurons and three cortical regions using electrocorticogram (ECoG) in two anaesthetized SERT-Cre mice. The cortical regions were the two bi-hemispheric frontal and one (right) occipital regions. We then used coherence analysis to quantify the relationship between DRN neurons and cortical activity rhythms. We also computed the coherence between firing activities of DRN neurons to quantify their relationship. We found slow-firing DRN neurons with regular and irregular spiking characteristics, potentially serotonergic neurons, were more likely to have stronger relationships with cortical ECoG signals, especially the frontal cortex. Moreover, the DRN neurons were generally found to be weakly correlated with each other. Future investigation with more samples and analytical methods will be conducted to validate our results.
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揭示皮质皮质系统中神经种群活动的动态关系
研究表明,脑干中缝背核(DRN)单个神经元的放电活动与皮层,特别是额叶皮层的慢波振荡有关。然而,大多数研究包括单DRN神经元或单通道皮质电图(ECoG)记录。因此,目前尚不清楚具有不同电生理特征的DRN神经元群体如何协调并与不同皮层区域的振荡节律相关。在这项工作中,我们探索了这种调查的技术可行性。我们使用皮质电图(ECoG)同时记录了两只麻醉的SERT-Cre小鼠的细胞外一组DRN神经元和三个皮质区域。皮质区为两个双半球额叶区和一个(右)枕叶区。然后,我们使用相干性分析来量化DRN神经元与皮层活动节律之间的关系。我们还计算了DRN神经元放电活动之间的一致性,以量化它们之间的关系。我们发现具有规则和不规则峰值特征的慢燃DRN神经元,潜在的血清素能神经元,更可能与皮层ECoG信号有更强的关系,尤其是额叶皮层。此外,DRN神经元之间普遍存在弱相关性。未来将进行更多样本和分析方法的调查,以验证我们的结果。
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