Fig. 4: AI-bRNN can classify another somatosensation, itch.
From: Development of a spontaneous pain indicator based on brain cellular calcium using deep learning
a A schematic drawing of the Ca2+ imaging schedule for S1 neurons in the chloroquine-induced itch conditions. b, c Estimated itch values of the chloroquine-injected animals based on the Ca2+ activity of S1 neurons. The data from the baseline non-itch condition (before chloroquine injection) were pooled with the data from the saline-injected animals. Saline (10 μl, s.c.) group (n = 24 mice); chloroquine (100 μg/10 μl, s.c.) group (n = 10 mice); formalin (5%, s.c.) group (n = 11 mice) d The classification performance for chloroquine-induced itch conditions based on the S1 neurons. Points on the scatter plots indicate individual data. Bars indicate the mean ± SEM; ***P < 0.001, **P < 0.01 compared to the matched control group (Mann–Whitney U test).
