ZFIN Image: Wolf et al., 2023, Figure 1.

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Figure Caption

Figure 1.

Temperature dependence of anterior rhombencephalic turning region (ARTR) dynamics and turn direction persistence.

(A) Morphological organization of the ARTR showing all identified neurons from 13 fish recorded with light-sheet calcium imaging. (B) Example of ARTR binarized signal sign (𝑚𝐿−𝑚𝑅 $m_{L} - m_{R}$ ) (gray) along with the left (𝑚𝐿 $m_{L}$ , red) and right (𝑚𝑅 $m_{R}$ , blue) mean activities. (C) Averaged power spectra of the ARTR binarized signals for the five tested temperatures. The dotted vertical lines indicate the signal switching frequencies 𝜈 $ν$ as extracted from the Lorentzian fit (solid lines). (D) Temperature dependence of 𝜈 $ν$ . The lines join data points obtained with the same larva. (E) Swimming patterns in zebrafish larvae. Swim bouts are categorized into forward and turn bouts based on the amplitude of the heading reorientation. Example trajectory: each dot corresponds to a swim bout; the color encodes the reorientation angle. (F) The bouts are discretized as left/forward/right bouts. The continuous binary signal represents the putative orientational state governing the chaining of the turn bouts. (G) Power spectra of the discretized orientational signal averaged over all animals for each temperature (dots). Each spectrum is fitted by a Lorentzian function (solid lines) from which we extract the switching rate 𝑘𝑓𝑙𝑖𝑝 $k_{f l i p}$ . (H) Temperature dependence of 𝑘𝑓𝑙𝑖𝑝 $k_{f l i p}$ . Inset: relationship between 𝑘𝑓𝑙𝑖𝑝 $k_{f l i p}$ (behavioral) and 𝜈 $ν$ (neuronal) switching frequencies. Bar sizes represent SEM, and the dashed line is the linear fit.

Acknowledgments

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