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自闭症小鼠模型中常见的计算和神经异常。

A common computational and neural anomaly across mouse models of autism.

作者信息

Noel Jean-Paul, Balzani Edoardo, Acerbi Luigi, Benson Julius, Savin Cristina, Angelaki Dora E

机构信息

Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA.

Data Science Initiative, University of Minnesota, Minneapolis, MN, USA.

出版信息

Nat Neurosci. 2025 Jun 3. doi: 10.1038/s41593-025-01965-8.

Abstract

Computational psychiatry studies suggest that individuals with autism spectrum disorder (ASD) inflexibly update their expectations. Here we leveraged high-yield rodent psychophysics, extensive behavioral modeling and brain-wide single-cell extracellular recordings to assess whether mice with different genetic perturbations associated with ASD show this same computational anomaly, and if so, what neurophysiological features are shared across genotypes. Mice harboring mutations in Fmr1, Cntnap2 or Shank3B show a blunted update of priors during decision-making. Compared with mice that flexibly updated their priors, inflexible updating of priors was associated with a shift in the weighting of prior encoding from sensory to frontal cortices. Furthermore, frontal areas in mouse models of ASD showed more units encoding deviations from the animals' long-run prior, and sensory responses did not differentiate between expected and unexpected observations. These findings suggest that distinct genetic instantiations of ASD may yield common neurophysiological and behavioral phenotypes.

摘要

计算精神病学研究表明,患有自闭症谱系障碍(ASD)的个体难以灵活地更新他们的预期。在此,我们利用高效的啮齿动物心理物理学、广泛的行为建模以及全脑单细胞细胞外记录,来评估与ASD相关的不同基因扰动的小鼠是否表现出相同的计算异常,如果是,不同基因型之间共享哪些神经生理特征。携带Fmr1、Cntnap2或Shank3B基因突变的小鼠在决策过程中表现出先验信息更新不足。与能够灵活更新先验信息的小鼠相比,先验信息更新不足与先验编码权重从感觉皮层向额叶皮层的转移有关。此外,ASD小鼠模型的额叶区域显示出更多编码偏离动物长期先验信息的神经元,并且感觉反应无法区分预期和意外的观察结果。这些发现表明,ASD的不同基因实例可能产生共同的神经生理和行为表型。

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