Medial Frontal Circuit Dynamics Represents Probabilistic Choices for Unfamiliar Sensory Experience
Medial Frontal Circuit Dynamics Represents Probabilistic Choices for Unfamiliar Sensory Experience
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DOI：
10.1093/cercor/bhx031
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发表时间：
2017-07-01
期刊：
影响因子：
3.7
通讯作者：
Fukai, Tomoki
中科院分区：
文献类型：
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作者：
Handa, Takashi;Takekawa, Takashi;Fukai, Tomoki
内侧额叶皮层（MFC）的神经元接收对决策行为至关重要的感觉信号。虽然对于熟悉的感觉信号来说决策很容易，但当感觉信号对动物来说不太熟悉时，决策就会变得更加复杂。目前还不清楚神经元群体如何将这种感觉输入协调转换为模糊的选择反应。此外，皮层振荡是否以及如何在此转换过程中协调神经元放电尚未得到广泛研究。在这里，我们记录了神经元群体的反应，熟悉或不熟悉的听觉线索在大鼠MFC和计算其概率演变。群体对熟悉声音的反应组织成包含多重感觉、运动和选择信息的神经元轨迹。相反，不熟悉的声音会在熟悉的路径的引导下唤起轨迹，并最终偏离到独特的决策状态。局部场电位表现出β-（15-20 Hz）和γ-波段（50-60 Hz）振荡，神经元放电表现出适度的锁相。有趣的是，伽马振荡，而不是β振荡，突然增加其权力在某个时间点，神经轨迹的不同选择是接近最大限度地分离。我们的研究结果强调了神经轨迹的进化在利用不熟悉的感觉信息的快速概率决策中的重要性。
Neurons in medial frontal cortex (MFC) receive sensory signals that are crucial for decision-making behavior. While decision-making is easy for familiar sensory signals, it becomes more elaborative when sensory signals are less familiar to animals. It remains unclear how the population of neurons enables the coordinate transformation of such a sensory input into ambiguous choice responses. Furthermore, whether and how cortical oscillations temporally coordinate neuronal firing during this transformation has not been extensively studied. Here, we recorded neuronal population responses to familiar or unfamiliar auditory cues in rat MFC and computed their probabilistic evolution. Population responses to familiar sounds organize into neuronal trajectories containing multiplexed sensory, motor, and choice information. Unfamiliar sounds, in contrast, evoke trajectories that travel under the guidance of familiar paths and eventually diverge to unique decision states. Local field potentials exhibited beta-(15-20 Hz) and gamma-band (50-60 Hz) oscillations to which neuronal firing showed modest phase locking. Interestingly, gamma oscillation, but not beta oscillation, increased its power abruptly at some timepoint by which neural trajectories for different choices were near maximally separated. Our results emphasize the importance of the evolution of neural trajectories in rapid probabilistic decisions that utilize unfamiliar sensory information.