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Andalman, A. S.

Publications and source records attributed to Andalman, A. S..

2 recordsLinked to original sources

Multiple overlapping hypothalamus-brainstem circuits drive rapid threat avoidance

Animals survive environmental challenges by adapting their physiology and behavior through homeostatic regulatory processes, mediated in part by specific neuropeptide release from the hypothalamus. Animals can also avoid environmental stressors within seconds, a fast behavioral adaptation for which hypothalamic involvement is not established. Using brain-wide neural activity imaging in behaving zebrafish, here we find that hypothalamic neurons are rapidly engaged during common avoidance responses elicited by various environmental stressors. By developing methods to register cellular-resolution neural dynamics to multiplexed in situ gene expression, we find that each category of stressor recruits similar combinations of multiple peptidergic cell types in the hypothalamus. Anatomical analysis and functional manipulations demonstrate that these diverse cell types play shared roles in behavior, are glutamatergic, and converge upon spinal-projecting brainstem neurons required for avoidance. These data demonstrate that hypothalamic neural populations, classically associated with slow and specific homeostatic adaptations, also together give rise to fast and generalized avoidance behavior.

neuroscience↗

Identification Of Cellular-Activity Dynamics Across Large Tissue Volumes In The Mammalian Brain

Tracking the coordinated activity of cellular events through volumes of intact tissue is a major challenge in biology that has inspired significant technological innovation. Yet scanless measurement of the high-speed activity of individual neurons across three dimensions in scattering mammalian tissue remains an open problem. Here we develop and validate a computational imaging approach (SWIFT) that integrates high-dimensional, structured statistics with light field microscopy to allow the synchronous acquisition of single-neuron resolution activity throughout intact tissue volumes as fast as a camera can capture images (currently up to 100 Hz at full camera resolution), attaining rates needed to keep pace with emerging fast calcium and voltage sensors. We demonstrate that this large field-of-view, single-snapshot volume acquisition method--which requires only a simple and inexpensive modification to a standard fluorescence microscope--enables scanless capture of coordinated activity patterns throughout mammalian neural volumes. Further, the volumetric nature of SWIFT also allows fast in vivo imaging, motion correction, and cell identification throughout curved subcortical structures like the dorsal hippocampus, where cellular-resolution dynamics spanning hippocampal subfields can be simultaneously observed during a virtual context learning task in a behaving animal. SWIFTs ability to rapidly and easily record from volumes of many cells across layers opens the door to widespread identification of dynamical motifs and timing dependencies among coordinated cell assemblies during adaptive, modulated, or maladaptive physiological processes in neural systems.

neuroscience↗