权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Structural variation in neuronal circuits as a basis for functional and behavioral individuality

神经元回路的结构变异作为功能和行为个性的基础

基本信息

批准号：
10206473
负责人：
BASSEM A HASSAN
金额：
$ 318.7万
依托单位：
HARVARD MEDICAL SCHOOL
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-05-01 至 2024-04-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10206473
关键词：
Adult Anatomy Animal Behavior Animal Model Animals Behavior Behavioral Behavioral Assay Biological Assay Biological Models Brain Calcium Cells Cellular Morphology Code Cognitive Communities Complex Computer Models Data Data Set Defect Dimensions Disease Disease model Dorsal Drosophila genus Drosophila melanogaster Electron Microscopy Environmental Risk Factor Evolution Exhibits Female Foundations Funding Genes Genetic Genetic Models Goals Head Human Image Individual Individuality Injury Interneurons Investigation Knowledge Label Light Link Lobe Mammals Maps Microscope Modeling Monitor Monozygotic twins Morphology Nature Nervous System control Nervous system structure Neurons Odors Organism Phenotype Population Proteins Research Research Personnel Resolution Resources Sensory Shapes Signal Transduction Stimulus Stochastic Processes Structure Structure-Activity Relationship Synapses System Technology Testing Translating Variant Visual system structure Weight Work approach behavior comparative connectome connectome data fly in vivo in vivo calcium imaging individual variation information processing insight male neural network neuronal circuitry novel strategies olfactory sensory neurons optogenetics postsynaptic predictive modeling preference presynaptic reconstruction relating to nervous system response sex skills tool trait two-photon voltage

项目摘要

Project Summary A fundamental gap in our knowledge of the nervous system is understanding how variations in wiring and connectivity of neuronal circuits relate to variability in neural computations and behavior. This gap has arisen because anatomical connectivity and function are typically studied separately. Here, we will assemble a team of researchers with complementary skills to tackle this problem. We will combine several technologies developed in our labs, including in vivo calcium imaging during behavior to study neuronal population activity during perceptually-guided behaviors and high-throughput electron microscopy (EM) to extract the connectivity of an underlying network essential for that behavior. To do so, we will use Drosophila melanogaster as a model system because it has a powerful genetic toolkit, tractable number of neurons, is amenable to large-scale behavioral screens, and is a realistic target for comparative whole-brain connectomics. This makes the fly an excellent model to develop a comprehensive approach to characterize neuronal circuits. We will apply our new approach to investigate how population codes, network connectivity, and structure-function relationships differ between individuals. Although it is well known that individuals, as well as males and females, exhibit variable behaviors, little is understood about how variations in neuronal wiring and connectivity relate to variations in neural computation and ultimately behavior. In our first aim, we will compare population codes, wiring, and connectivity between multiple isogenic individuals that exhibit differences in visually-guided approach behavior. In a second aim, we will apply similar approaches to investigate differences in odor preference behavior. We will test how stochastic brain asymmetry, weighting of sensory signals, and repertoire of local interneurons influence computations within individual brains. Analyzing structure-function relationships across individuals will examine the tradeoff between neuronal circuit precision and variability, and reveal how specific variations shape information processing and behavior. We will generate models predicting neuronal function and behavior from circuit wiring and neuronal structure. Our work will be among the first to compare whole-brain, synaptic-resolution connectomes of multiple individuals to reveal fundamental constraints on functional network organization and discover how circuit variability supports individuality.

项目总结

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Colony size buffers interactions between neonicotinoid exposure and cold stress in bumblebees.

DOI：
10.1098/rspb.2023.0555
发表时间：
2023-07-26
期刊：
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
影响因子：
4.7
作者：
Easton-Calabria, August C.;Thuma, Jessie A.;Cronin, Kayleigh;Melone, Gigi;Laskowski, Madalyn;Smith, Matthew A. Y.;Pasadyn, Cassandra L.;de Bivort, Benjamin L.;Crall, James D.
通讯作者：
Crall, James D.

A New Behavioral Paradigm for Visual Classical Conditioning in Drosophila.