{"title":"Building and integrating brain-wide maps of nervous system function in invertebrates","authors":"Talya S. Kramer , Steven W. Flavell","doi":"10.1016/j.conb.2024.102868","DOIUrl":null,"url":null,"abstract":"<div><p>The selection and execution of context-appropriate behaviors is controlled by the integrated action of neural circuits throughout the brain. However, how activity is coordinated across brain regions, and how nervous system structure enables these functional interactions, remain open questions. Recent technical advances have made it feasible to build brain-wide maps of nervous system structure and function, such as brain activity maps, connectomes, and cell atlases. Here, we review recent progress in this area, focusing on <em>C. elegans</em> and <em>D. melanogaster</em>, as recent work has produced global maps of these nervous systems. We also describe neural circuit motifs elucidated in studies of specific networks, which highlight the complexities that must be captured to build accurate models of whole-brain function.</p></div>","PeriodicalId":10999,"journal":{"name":"Current Opinion in Neurobiology","volume":"86 ","pages":"Article 102868"},"PeriodicalIF":4.8000,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0959438824000308/pdfft?md5=5d4ea1c824b11c407374d5679084a05d&pid=1-s2.0-S0959438824000308-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current Opinion in Neurobiology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0959438824000308","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The selection and execution of context-appropriate behaviors is controlled by the integrated action of neural circuits throughout the brain. However, how activity is coordinated across brain regions, and how nervous system structure enables these functional interactions, remain open questions. Recent technical advances have made it feasible to build brain-wide maps of nervous system structure and function, such as brain activity maps, connectomes, and cell atlases. Here, we review recent progress in this area, focusing on C. elegans and D. melanogaster, as recent work has produced global maps of these nervous systems. We also describe neural circuit motifs elucidated in studies of specific networks, which highlight the complexities that must be captured to build accurate models of whole-brain function.
选择和执行与环境相适应的行为是由整个大脑神经回路的综合作用控制的。然而,大脑各区域的活动是如何协调的,神经系统的结构又是如何实现这些功能性互动的,这些问题仍然悬而未决。最近的技术进步使得绘制全脑神经系统结构和功能图谱(如脑活动图谱、连接组和细胞图谱)成为可能。在此,我们回顾了这一领域的最新进展,重点是 elegans 和 D. melanogaster,因为最近的研究已经绘制出了这些神经系统的全局图。我们还描述了在特定网络研究中阐明的神经回路图案,这些图案凸显了要建立准确的全脑功能模型所必须捕捉的复杂性。
期刊介绍:
Current Opinion in Neurobiology publishes short annotated reviews by leading experts on recent developments in the field of neurobiology. These experts write short reviews describing recent discoveries in this field (in the past 2-5 years), as well as highlighting select individual papers of particular significance.
The journal is thus an important resource allowing researchers and educators to quickly gain an overview and rich understanding of complex and current issues in the field of Neurobiology. The journal takes a unique and valuable approach in focusing each special issue around a topic of scientific and/or societal interest, and then bringing together leading international experts studying that topic, embracing diverse methodologies and perspectives.
Journal Content: The journal consists of 6 issues per year, covering 8 recurring topics every other year in the following categories:
-Neurobiology of Disease-
Neurobiology of Behavior-
Cellular Neuroscience-
Systems Neuroscience-
Developmental Neuroscience-
Neurobiology of Learning and Plasticity-
Molecular Neuroscience-
Computational Neuroscience