Patchy harmonic functional connectivity of the mouse auditory cortex

• 成果类型: Article
• 署名作者: Jendrichovskya, Peter; Khosravib, Sahar; Rupasinghed, Anuththara; Maximova, Katherine; Guoa, Pinyue; Babadib, Behtash; Kanold, Patrick O.
• 署名单位: Johns Hopkins University; Johns Hopkins Medicine; University System of Maryland; University of Maryland College Park; University System of Maryland; University of Maryland College Park; Princeton University; Johns Hopkins University; Johns Hopkins University
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-13795
• DOI: 10.1073/pnas.2510012122
• 发表日期: 2025-07-08
• 关键词: zernike polynomials; 2-tone suppression; receptive-fields; layer 2/3; cat; ORGANIZATION; orientation; inhibition; topography; CONSTRUCTION

摘要

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.