Figure 8. Influence of arousal state on vascular correlations to ongoing neural activity.

(A) Probability of being in a given arousal state as a function of mean ∆[HbT]. As ∆[HbT] increases, so does the probability that the animal is asleep. Temporal resolution is 5 s, ∆[HbT] bins have a 1 µM resolution. (B) Probability of being in a given arousal state as a function of mean ∆D/D. As ∆D/D increases, the probability that the animal is asleep is not well defined until reaching very large vasodilation. Temporal resolution is 5 s, ∆D/D bins are 1% resolution. (C) MoC2 between the envelope (≤1 Hz) of gamma band power and ∆[HbT] during each arousal state. Three additional states of alert, asleep, and all data are included to extend into the ultra-low frequencies. n = 14 mice. Alert arousal state n = 12; Asleep arousal state n = 13; All data arousal state n = 14. (D) Relationship between the gamma band power and ∆[HbT] during each arousal state. 5 s resolution. (E) Schematic demonstrating the observed relationship between ∆[HbT] and gamma band power during each arousal state.

Figure 8—figure supplement 1. Arousal state dependence of low-frequency neural-hemo coherence.

Coherence between LFP and changes total hemoglobin ∆[HbT] evaluated at 0.1 and 0.01 Hz. (A) Mean MoC2 between the envelope (≤1 Hz) of delta band power [1–4 Hz] and ∆[HbT] in a single cortical hemisphere during different arousal states at 0.1 (B) and 0.01 (C) Hz. (D–F) Same as in (A–C) except for theta band power [4–10 Hz]. (G–I) Same as in (A–C) except for alpha band power [10–13 Hz]. (J–L) Same as in (A–C) except for beta band power [13–30 Hz]. (M–O) Same as in (A–C) except for gamma band power [30–100 Hz]. (A–O) n = 14 mice (n*two hemispheres) for all arousal states except Alert: n = 12 mice, Asleep: n = 13 mice. Data is presented in Supplementary file 1. *p<0.05, **p<0.01, ***p<0.001 GLME.