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Flores-Valle, A.

Publications and source records attributed to Flores-Valle, A..

2 recordsLinked to original sources

Dynamics of a sleep homeostat observed in glia during behavior

Sleep is critical for homeostatic processes in the brain, including metabolism and waste removal. Here, we identify brain-wide, locally acting sleep homeostats for the short, naturally occurring sleep bouts of Drosophila in the two major classes of glia that arborize inside the brain, astrocytes and ensheathing glia. We show that glia surround respiratory tracheal tubes, that the metabolic gas carbon dioxide, changes in pH, or behavioral activity, all induce long lasting calcium responses, and that astrocytes and glia show circadian calcium modulations. Glia describe sleep homeostasis in behaving flies more faithfully than previously identified sleep circuits in the central complex, but a subset of neurons in the fan-shaped body is important for feeding homeostasis. Local optogenetic activation of astrocytes or ensheathing glia is sufficient to induce sleep. Together, glia calcium levels can be modeled as homeostatic controllers of metabolic activity, thus establishing a link between metabolism and sleep.

neuroscience↗

Axial motion estimation and correction for simultaneous multi-plane two-photon calcium imaging

Two-photon imaging in behaving animals is typically accompanied by brain motion. For functional imaging experiments, for example with genetically encoded calcium indicators, such brain motion induces changes in fluorescence intensity. These motion related intensity changes or motion artifacts cannot easily be separated from neural activity induced signals. While lateral motion within the focal plane can be corrected by computationally aligning images, axial motion, out of the focal plane, cannot easily be corrected. Here, we develop an algorithm for axial motion correction for non-ratiometric calcium indicators taking advantage of simultaneous multi-plane imaging. Using at least two simultaneously recorded focal planes, the algorithm separates motion related and neural activity induced changes in fluorescence intensity. The developed motion correction approach allows axial motion estimation and correction at high frame rates for isolated structures in the imaging volume in vivo, such as sparse expression patterns in the fruit fly brain.

neuroscience↗