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小鼠听觉皮层的斑片状谐波功能连接性。

Patchy harmonic functional connectivity of the mouse auditory cortex.

作者信息

Jendrichovsky Peter, Khosravi Sahar, Rupasinghe Anuththara, Maximov Katherine, Guo Pinyue, Babadi Behtash, Kanold Patrick O

机构信息

Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205.

Department of Electrical & Computer Engineering, University of Maryland, College Park, MD 20742.

出版信息

Proc Natl Acad Sci U S A. 2025 Jul 8;122(27):e2510012122. doi: 10.1073/pnas.2510012122. Epub 2025 Jun 30.

Abstract

Analyzing the functional connectivity of the brain is an enormous challenge, as deciphering functional connectivity requires knowledge of functional responses and connections. One promising strategy is analyzing the spatial pattern of activity correlations across cell populations. In the primary auditory cortex (A1), cells respond to different sound features. On the large scale, there exists a tonotopic map, which is fractured at the small scale, raising the question of whether functional connections are spatially ordered or disordered. To test whether functional connectivity on a local and a global scale is also disordered, we first designed a robust statistical model to estimate parameters and test for the significance of the estimated correlation maps. We developed an inference method that allows efficient model fitting and statistical testing to project the correlation maps to 2D space. We then performed in vivo two-photon calcium imaging in layer 2/3 of A1 with pure tones (PT) or a combination of two tones (TT; harmonically related or not). We found that the spatial patterns of signal correlations (SCs) depend on the type of sound stimuli that were presented. The functional 2D maps of PT-driven SCs are more restricted to local neurons than TT signal correlations which showed more global textures. 2D SC patterns for harmonic stimuli showed spatially distinct relationships. TT SCs revealed spatially precise functional connectivity between harmonically related neurons. Thus, even though the frequency preference of neighboring neurons in A1 is functionally diverse, the functional connection pattern of these neurons is functionally precise and harmonically related.

摘要

分析大脑的功能连接是一项巨大的挑战,因为解读功能连接需要了解功能反应和连接情况。一种有前景的策略是分析细胞群体间活动相关性的空间模式。在初级听觉皮层(A1)中,细胞对不同的声音特征做出反应。在大尺度上,存在一个音调拓扑图,而在小尺度上它是破碎的,这就引发了功能连接在空间上是有序还是无序的问题。为了测试局部和全局尺度上的功能连接是否也是无序的,我们首先设计了一个稳健的统计模型来估计参数,并对估计的相关图的显著性进行检验。我们开发了一种推理方法,该方法允许进行有效的模型拟合和统计检验,以便将相关图投影到二维空间。然后,我们在A1的第2/3层中使用纯音(PT)或两种音调的组合(TT;谐波相关或不相关)进行了体内双光子钙成像。我们发现信号相关性(SC)的空间模式取决于所呈现的声音刺激类型。与TT信号相关性相比,PT驱动的SC的功能二维图更局限于局部神经元,TT信号相关性显示出更多的全局纹理。谐波刺激的二维SC模式显示出空间上不同的关系。TT SC揭示了谐波相关神经元之间在空间上精确的功能连接。因此,尽管A1中相邻神经元的频率偏好功能多样,但这些神经元的功能连接模式在功能上是精确且谐波相关的。

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