Fig. 1. The VR Imaging System’s Visualization of Cortical Functional Network Dynamics (IMAGE)
Caption
A, The imaging and virtual reality (VR) system. B, Photograph of the experiment C, A schematic of the transcranial imaging window affixed to the mouse skull. D, Fifty cortical ROIs are overlaid onto a grayscale image of the dorsal cortex with a cortical parcellation map (top, dashed lines indicate the field of view, scale bar = 1 mm). ROIs 1–25 and 26–50 were defined in the left (L) and right (R) hemispheres, respectively, and ROIs for each hemisphere were numbered along the anterior-posterior axis (bottom). E, Analysis of cortical functional connectivity. After calculating normalized fluorescence changes (dF/F) for each ROI, pair-wise Pearson’s correction coefficients of cortical activity in a one-second time window were calculated for all ROI pairs and then visualized as matrices. Each matrix was labeled with a corresponding behavior state at the first frame of the time window. In the graph visualization of functional networks, connectivity with a correlation coefficient above a threshold (r > 0.8) was denoted as a line (edge) that connected the corresponding ROIs (nodes).
Credit
Nakai, N., Sato, M., Yamashita, O. et al. Virtual reality-based real-time imaging reveals abnormal cortical dynamics during behavioral transitions in a mouse model of autism. Cell Reports (2023). DOI：10.1016/j.celrep.2023.112258
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