Fig. 3: Classification performance of AI-bRNN in different brain regions and cell types.
From: Development of a spontaneous pain indicator based on brain cellular calcium using deep learning
a Schematic drawing of the cerebellar Bergmann glia and the imaging timeline before and after capsaicin or vehicle injection. b Estimated pain values of capsaicin-injected animals. The estimated pain values were based on the Ca2+ activity of Bergmann glial cells in the cerebellum of the capsaicin group (n = 7 mice) and the saline group (n = 14 mice). The data from the baseline non-pain condition (before the capsaicin injection) were pooled with the data from the saline-injected animals. c The classification performance for the capsaicin-induced pain condition based on the cerebellum Bergmann glia signals. Scatter plots indicate individual data. Bars indicate the mean ± SEM; *P < 0.05 compared to the matched control group (Mann–Whitney U test).
