Rajput Neha, Parikh Kush, Squires Ada, Fields Kailyn K, Wong Matheu, Kanani Dea, Kenney Justin W
Department of Biological Sciences, Wayne State University, Detroit, MI 48202.
bioRxiv. 2024 Aug 19:2024.08.16.607981. doi: 10.1101/2024.08.16.607981.
Identifying general principles of brain function requires the study of structure-function relationships in a variety of species. Zebrafish have recently gained prominence as a model organism in neuroscience, yielding important insights into vertebrate brain function. Although methods have been developed for mapping neural activity in larval animals, we lack similar techniques for adult zebrafish that have the advantage of a fully developed neuroanatomy and larger behavioral repertoire. Here, we describe a pipeline built around open-source tools for whole-brain activity mapping in freely swimming adult zebrafish. Our pipeline combines recent advances in histology, microscopy, and machine learning to capture activity across the entirety of the adult brain. Images captured using light-sheet microscopy are registered to the recently created adult zebrafish brain atlas (AZBA) for automated segmentation using advanced normalization tools (ANTs). We used our pipeline to measure brain activity after zebrafish were subject to the novel tank test. We found that levels peaked 15 minutes following behavior and that several regions containing serotoninergic, dopaminergic, noradrenergic, and cholinergic neurons were active during exploration. Finally, we generated a novel tank test functional connectome. Functional network analysis revealed that several regions of the medial ventral telencephalon form a cohesive sub-network during exploration. We also found that the anterior portion of the parvocellular preoptic nucleus (PPa) serves as a key connection between the ventral telencephalon and many other parts of the brain. Taken together, our work enables whole-brain activity mapping in adult zebrafish for the first time while providing insight into neural basis for the novel tank test.
确定脑功能的一般原则需要研究多种物种的结构-功能关系。斑马鱼最近在神经科学中作为一种模式生物而备受关注,为脊椎动物脑功能提供了重要见解。尽管已经开发出了用于绘制幼体动物神经活动的方法,但我们缺乏适用于成年斑马鱼的类似技术,成年斑马鱼具有完全发育的神经解剖结构和更丰富的行为表现。在这里,我们描述了一个围绕开源工具构建的流程,用于在自由游动的成年斑马鱼中进行全脑活动图谱绘制。我们的流程结合了组织学、显微镜学和机器学习的最新进展,以捕获成年大脑的整体活动。使用光片显微镜拍摄的图像通过先进的归一化工具(ANTs)配准到最近创建的成年斑马鱼脑图谱(AZBA)上,以进行自动分割。我们使用该流程测量了斑马鱼在新环境水箱试验后的脑活动。我们发现,行为后15分钟活动水平达到峰值,并且在探索过程中,几个含有5-羟色胺能、多巴胺能、去甲肾上腺素能和胆碱能神经元的区域处于活跃状态。最后,我们生成了一个新环境水箱试验功能连接组。功能网络分析表明,在探索过程中,内侧腹侧端脑的几个区域形成了一个连贯的子网络。我们还发现,小细胞视前核(PPa)的前部是腹侧端脑与大脑许多其他部分之间的关键连接。总之,我们的工作首次实现了成年斑马鱼的全脑活动图谱绘制,同时为新环境水箱试验的神经基础提供了见解。