Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior.
Targeted micro-fiber arrays for measuring and manipulating localized multi-scale neural dynamics over large, deep brain volumes during behavior.
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定向微纤维阵列，用于测量和操纵行为过程中大而深的大脑体积的局部多尺度神经动力学。
DOI：
10.1101/2023.11.17.567425
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Howe,MarkW
中科院分区：
文献类型：
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作者：
Vu,Mai-AnhT;Brown,EleanorH;Wen,MichelleJ;Noggle,ChristianA;Zhang,Zicheng;Monk,KevinJ;Bouabid,Safa;Mroz,Lydia;Graham,BenjaminM;Zhuo,Yizhou;Li,Yulong;Otchy,TimothyM;Tian,Lin;Davison,IanG;Boas,DavidA;Howe,MarkW
与行为相关的神经群体动态在三维体积的多个空间和时间尺度上变化。目前的光学方法缺乏测量和操纵纹状体等深部大脑区域内和跨大脑深部区域自然发生的大规模分布式动态模式所需的空间覆盖范围和分辨率。我们设计了一种新的微纤维阵列方法，能够在头部固定和自由移动的小鼠中同时长期测量和光遗传学操纵 100 多个目标位置的局部动态，从而能够以以前无法达到的空间分辨率和覆盖范围研究任意 3D 体积上的细胞类型和神经递质特异性信号。我们应用这种方法来解决跨纹状体的快速多巴胺释放动力学，揭示了响应延伸到数毫米组织的显着感觉刺激的独特的、模态特异性的时空模式。靶向光遗传学能够在多个空间尺度上灵活控制神经信号，更好地匹配内源信号模式，以及跨大回路的行为功能的空间定位。
Neural population dynamics relevant to behavior vary over multiple spatial and temporal scales across three-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 approach capable of chronically measuring and optogenetically manipulating local dynamics across over 100 targeted locations simultaneously in head-fixed and freely moving mice, enabling the investigation of cell-type- and neurotransmitter-specific signals over arbitrary 3D volumes at a spatial resolution and coverage previously inaccessible. We applied this method to resolve rapid dopamine release dynamics across the striatum, revealing distinct, modality-specific spatiotemporal patterns in response to salient sensory stimuli extending over millimeters of tissue. Targeted optogenetics enabled flexible control of neural signaling on multiple spatial scales, better matching endogenous signaling patterns, and the spatial localization of behavioral function across large circuits.