Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior

Output Details

Preprint June 20, 2024

Published November 17, 2023

Neural population dynamics relevant for behavior vary over multiple spatial and temporal scales across 3-dimensional volumes. Current optical approaches lack the spatial coverage and resolution necessary to measure and manipulate naturally occurring patterns of large-scale, distributed dynamics within and across deep brain regions such as the striatum. We designed a new micro-fiber array and imaging approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice. We developed a semi-automated micro-CT based strategy to precisely localize positions of each optical fiber. This highly-customizable approach enables investigation of multi-scale spatial and temporal patterns of cell-type and neurotransmitter specific signals over arbitrary 3-D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum volume which revealed distinct, modality specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics through our fiber arrays enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and spatial localization of behavioral function across large circuits.
Tags
  • Behavior/Behavioral studies
  • Dopamine
  • Fiber photometry
  • In Vivo
  • Mouse
  • Optogenetics

Meet the Authors

  • Mai-Anh Vu, PhD

    Key Personnel: Team Cragg

    Boston University

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    Eleanor H. Brown

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    Michelle J. Wen

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    Christian A. Noggle

  • User avatar fallback logo

    Zicheng Zhang

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    Kevin J. Monk

  • Safa Bouabid, PhD

    Key Personnel: Team Cragg

    Boston University

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    Lydia Mroz

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    Benjamin M. Graham

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    Yizhou Zhuo

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    Yulong Li, PhD

    Collaborating PI: Team Cragg

    Peking University

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    Timothy M. Otchy

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    Lin Tian

    Collaborating PI: Team Gradinaru

    University of California, Davis

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    Ian G. Davison

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    David A. Boas

  • Mark Howe, PhD

    Co-PI (Core Leadership): Team Cragg

    Boston University