Extinction of cue-evoked food-seeking recruits a GABAergic interneuron ensemble in the dorsal medial prefrontal cortex of mice.

Extinction of cue-evoked food-seeking recruits a GABAergic interneuron ensemble in the dorsal medial prefrontal cortex of mice.
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线索诱发的食物寻求消失会在小鼠背内侧前额叶皮层中招募 GABA 能中间神经元群。

DOI:
10.1111/ejn.14754
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发表时间:
2020
期刊:
The European journal of neuroscience
影响因子:
--
通讯作者:
Brebner LS
Brebner LS
中科院分区:
--
文献类型:
--
作者:
Brebner LS

文献摘要

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动物必须迅速适应寻找食物的策略,以在动态变化的环境中定位营养来源。食物和环境线索之间的习得联系,预测食物的可获得性,会促进寻找食物的行为。然而,当这些线索不再能预测食物供应时,动物就会经历“灭绝”学习,导致对食物搜寻反应的抑制。在食欲条件作用后,在背侧内侧前额叶皮质(DmPFC)中重复激活的神经元组,或称“神经元集合”,被招募并经历被认为编码线索-奖赏关联的生理适应。然而,关于这种dmPFC集合的招募和内在兴奋性是如何被灭绝学习所调节的,我们知之甚少。在此,我们在最近行为激活的神经元中表达绿色荧光蛋白(GFP)的MaleFos-GFP小鼠中使用体内双光子成像来确定在灭绝过程中激活的锥体和GABA能中间神经元dmPFC集合的招募。在灭绝过程中,我们发现了中间神经元的一个子集的持续激活,这些中间神经元出现在最初的灭绝过程中激活的更广泛的中间神经元群体中。这种激活模式在锥体细胞中没有观察到,消亡学习并不调节激活的锥体细胞的兴奋性特性。此外,灭绝学习降低了在最初的灭绝阶段激活的锥体细胞重新激活的可能性。我们的发现阐明了dmPFC中新的神经元激活模式在食物寻找灭绝的基础上,特别是强调了神经元间集合在这种抑制形式的学习中的重要作用。
Animals must quickly adapt food‐seeking strategies to locate nutrient sources in dynamically changing environments. Learned associations between food and environmental cues that predict its availability promote food‐seeking behaviors. However, when such cues cease to predict food availability, animals undergo “extinction” learning, resulting in the inhibition of food‐seeking responses. Repeatedly activated sets of neurons, or “neuronal ensembles,” in the dorsal medial prefrontal cortex (dmPFC) are recruited following appetitive conditioning and undergo physiological adaptations thought to encode cue‐reward associations. However, little is known about how the recruitment and intrinsic excitability of such dmPFC ensembles are modulated by extinction learning. Here, we used in vivo 2‐Photon imaging in maleFos‐GFPmice that express green fluorescent protein (GFP) in recently behaviorally activated neurons to determine the recruitment of activated pyramidal and GABAergic interneuron dmPFC ensembles during extinction. During extinction, we revealed a persistent activation of a subset of interneurons which emerged from a wider population of interneurons activated during the initial extinction session. This activation pattern was not observed in pyramidal cells, and extinction learning did not modulate the excitability properties of activated pyramidal cells. Moreover, extinction learning reduced the likelihood of reactivation of pyramidal cells activated during the initial extinction session. Our findings illuminate novel neuronal activation patterns in the dmPFC underlying extinction of food‐seeking, and in particular, highlight an important role for interneuron ensembles in this inhibitory form of learning.