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. 2024 Apr 9;27(5):109692. doi: 10.1016/j.isci.2024.109692

Figure 2.

Figure 2

The complexity of the sensory evoked response is brain-state dependent

(A) The Complexity Index (CI) of the sensory-evoked response from wide-field calcium data decreases with increasing levels of anesthesia. Kruskal-Wallis test (H statistic = 70.756, p value = 2.94e-15, df = 3) and Dunn’s post hoc test with Bonferroni correction. ∗p < 0.050, ∗∗p < 0.001.

(B) Simulated PCI is calculated from the TVB-Adex model of the entire cortical surface, parcellated according to the Allen Mouse Brain Atlas.

(C) Time course of the modeled calcium signal from asynchronous (top) to slow-wave activity (bottom), as obtained by augmenting the strength of spike-frequency adaptation (b) in the model (0, 30, 60, and 120 pA from top to bottom).

(D) Corresponding power spectra showing the shift toward low frequencies.

(E) Responses to cortical stimulation in different states described in (C).

(F) CI of evoked responses simulated at increasing levels of adaptation. Kruskal-Wallis test (H statistic = 71.002, p value = 2.60e-15, df = 3) and Dunn’s post hoc test with Bonferroni correction. ∗p < 0.050, ∗∗p < 0.001. Data are shown as mean ± SEM.