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The Nanoscale Connectome of the Cochlear Nucleus

耳蜗核的纳米级连接组

基本信息

批准号：
10376273
负责人：
Mark H Ellisman
金额：
$ 62.06万
依托单位：
UNIVERSITY OF SOUTH FLORIDA
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-04-01 至 2024-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10376273
关键词：
3-Dimensional Acoustic Nerve Acoustics Adult Architecture Auditory Auditory system Automobile Driving Axon Biophysics Birds Brain Stem Brain region CNS processing Catalogs Cell model Cells Cellular Structures Censuses Classification Cochlea Cochlear nucleus Communities Computing Methodologies Data Development Electron Microscopy Experimental Designs Frequencies Future Gene Expression Genetic Goals Graph Hearing Hearing problem Human Image Knowledge Label Learning Link Location Mammals Maps Methods Modeling Molecular Molecular Profiling Morphology Mus Names Nerve Nerve Fibers Neurons Neurosciences Noise-Induced Hearing Loss Octopus Pathology Pattern Peripheral Phenotype Process Public Health Research Resolution Sampling Scanning Electron Microscopy Sensory Shapes Skeleton Specific qualifier value Standardization Structure Supervision Synapses System Techniques Testing Therapeutic Tissues Work afferent nerve auditory processing automated segmentation base biophysical model cell type cellular targeting connectome experimental study fluorescence imaging granule cell health goals human error in silico microscopic imaging molecular phenotype molecular scale nanoscale nerve supply neural circuit neural model novel parallel processing prevent programs recombinase relating to nervous system sensory system sound tool transcription factor unsupervised learning virtual reality

项目摘要

The cochlear nucleus is the gateway for central nervous system processing of auditory information in mammals. It has been proposed that parallel processing channels are set up in the CN, and these form the basis for further computation at higher stations of the auditory system. Despite decades of study, enumeration of CN cell types is incomplete and CN circuitry is described only superficially. In neuroscience generally, classification and naming of neurons has relied primarily upon qualitative approaches based upon human observational capabilities. We have implemented and in some cases developed novel high-throughput and unbiased techniques for labeling, segmenting and classifying neurons in 3D, generated from large-scale electron microscopy image volumes. We propose to deliver a nanoscale map, or connectome, of the mouse CN with enumerated and localized cell types and their synaptic connections. This effort is unbiased because all neurons will be sampled. To achieve this goal, we bring together four parallel modes of tissue analysis for neuron classification: morphology, connectivity, molecular identity and function. We propose that connectivity analysis will define long-proposed parallel processing circuits that will be tested functionally using realistic biophysical models of identified cell types. Notably, the cochlear nucleus contains both amorphous and layered organizations of cells, which serve as templates for all other brain regions. By investigating the fundamental structure of this sensory center, we will establish principles of neural computation and methods for structural and functional phenotyping that will apply to other brain regions regardless of their particular neural architecture.

耳蜗核是中枢神经系统处理听觉信息的通道