Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior.
Dynamic patterns of correlated activity in the prefrontal cortex encode information about social behavior.
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DOI：
10.1371/journal.pbio.3001235
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发表时间：
2021-05
期刊：
影响因子：
9.8
通讯作者：
Sohal VS
中科院分区：
文献类型：
--
作者：
Frost NA;Haggart A;Sohal VS
新技术使同时测量多个神经元的活动成为可能。一种方法是单独分析同时记录的神经元，然后将在类似行为中增加活动的神经元组合成一个“集合”。然而，这种整体的概念忽略了神经元集体行动的能力，以及它们以个体活动水平所不能反映的方式编码和传递信息的能力。我们使用微内窥镜GCaMP成像来测量小鼠单独或参与社会互动时的前额叶活动。我们开发了一种结合神经网络分类器和替代（洗牌）数据集的方法，以表征神经元如何协同传递有关社会行为的信息。值得注意的是，与最优线性分类器不同，具有单个线性隐藏层的神经网络分类器可以区分仅在协同活动模式中不同的网络状态，而不是单个神经元的活动水平。使用这种方法，我们发现保留行为特定模式的协同活动（相关性）的替代数据集优于保留行为驱动的活动水平变化但不相关活动的替代数据集。因此，社会行为引发的相关活动的增加不能简单地用底层神经元的活动水平来解释，前额叶神经元通过这些相关性集体行动来传递有关社交的信息。值得注意的是，在缺乏自闭症相关基因Shank3的小鼠中，这种增强神经元群传递信息的相关活动的能力减弱了。这些结果表明，协同作用是社会行为编码的一个重要概念，而社会行为在疾病状态下可能会被破坏，揭示了这种协同作用的特定机制（社会行为增加特定集合内的相关活动），并概述了研究集合内神经元如何协同工作以编码信息的方法。前额叶神经元之间相关活动的行为特异性模式通常会增强神经元群传递的有关社会行为的信息。这项研究表明，在自闭症小鼠模型中，单个神经元继续编码社会信息，但这些由相关活动模式携带的额外信息丢失了。
New technologies make it possible to measure activity from many neurons simultaneously. One approach is to analyze simultaneously recorded neurons individually, then group together neurons which increase their activity during similar behaviors into an “ensemble.” However, this notion of an ensemble ignores the ability of neurons to act collectively and encode and transmit information in ways that are not reflected by their individual activity levels. We used microendoscopic GCaMP imaging to measure prefrontal activity while mice were either alone or engaged in social interaction. We developed an approach that combines a neural network classifier and surrogate (shuffled) datasets to characterize how neurons synergistically transmit information about social behavior. Notably, unlike optimal linear classifiers, a neural network classifier with a single linear hidden layer can discriminate network states which differ solely in patterns of coactivity, and not in the activity levels of individual neurons. Using this approach, we found that surrogate datasets which preserve behaviorally specific patterns of coactivity (correlations) outperform those which preserve behaviorally driven changes in activity levels but not correlated activity. Thus, social behavior elicits increases in correlated activity that are not explained simply by the activity levels of the underlying neurons, and prefrontal neurons act collectively to transmit information about socialization via these correlations. Notably, this ability of correlated activity to enhance the information transmitted by neuronal ensembles is diminished in mice lacking the autism-associated gene Shank3. These results show that synergy is an important concept for the coding of social behavior which can be disrupted in disease states, reveal a specific mechanism underlying this synergy (social behavior increases correlated activity within specific ensembles), and outline methods for studying how neurons within an ensemble can work together to encode information. Behaviorally-specific patterns of correlated activity between prefrontal neurons normally enhance the information that neuronal ensembles transmit about social behavior. This study shows that in a mouse model of autism, individual neurons continue to encode social information, but this additional information carried by patterns of correlated activity is lost.
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DOI：
10.1126/science.aac9462
发表时间：
2015-11-27
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Jiang X;Shen S;Cadwell CR;Berens P;Sinz F;Ecker AS;Patel S;Tolias AS
通讯作者：
Tolias AS
影响因子：
25
作者：
Chen, Qian;Deister, Christopher A.;Feng, Guoping
通讯作者：
Feng, Guoping
影响因子：
2.5
作者：
Averbeck, Bruno B.;Lee, Daeyeol
通讯作者：
Lee, Daeyeol
影响因子：
16.2
作者：
Mukamel, Eran A.;Nimmerjahn, Axel;Schnitzer, Mark J.
通讯作者：
Schnitzer, Mark J.
影响因子：
11
作者：
Brumback AC;Ellwood IT;Kjaerby C;Iafrati J;Robinson S;Lee AT;Patel T;Nagaraj S;Davatolhagh F;Sohal VS
通讯作者：
Sohal VS