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Viral Strategies for Functional Connectomics in the Visual System

视觉系统中功能性连接组学的病毒策略

基本信息

批准号：
10231175
负责人：
R CLAY REID
金额：
$ 83.14万
依托单位：
ALLEN INSTITUTE
依托单位国家：
美国
项目类别：
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-25 至 2024-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10231175
关键词：
Address Alzheimer&apos s Disease Anatomy Anterolateral Area Array tomography Back Brain Brain Diseases Calcium Cells Cerebral cortex Consensus Data Dendrites Electron Microscopy Epilepsy Feedback Foundations Functional Imaging Functional disorder Generations Glycoproteins Image Interneurons Label Lasers Lateral Link Location Logic Mental disorders Methods Mind Modeling Motor Neurons Neurosciences Output Pattern Physiological Physiology Polymerase Gene Process Property Public Health Pyramidal Cells Rabies Rabies virus Recurrence Resolution Scanning Sensory Signal Transduction Stimulus Stroke Synapses Techniques Testing Tracer Transgenes V1 neuron Variant Viral Virus Visual Cortex Visual system structure Work anatomical tracing area V1 area striata autism spectrum disorder brain cell calcium indicator cognitive function cytotoxicity exhaustion experimental study extrastriate visual cortex hippocampal pyramidal neuron improved in vivo information processing mouse model movie nervous system disorder novel strategies postsynaptic postsynaptic neurons presynaptic receptive field response sensory cortex tool two photon microscopy two-photon virtual visual stimulus

项目摘要

Project Summary / Abstract A fundamental but unsolved question in neuroscience is how specific connections between brain cells (neurons) underlie information processing. Circuits in the cerebral cortex—the part of the mammalian brain that underlies high-level sensory, motor, and cognitive function—consists of tens of thousands of neurons, each of which sends and receives thousands of connections. Perhaps the biggest reason we don't understand the cerebral cortex is that we don't have an actual wiring diagram of any single cortical circuit. But even if we had a wiring diagram, we would need to know what each neuron in a circuit is doing: its physiology. In this proposal, we plan study the functional logic of networks in the visual cortex by examining groups of connected neurons whose responses to visual stimuli have been characterized. We will combine two techniques to tackle this difficult problem. Connections between neurons will be determined with a modified virus that allows us to specifically labels ensembles of neurons, all of which connect with a single 'target' neuron in each experiment. Once the neurons are labeled, we will use an advanced form of scanning-laser imaging (calcium imaging with two-photon microscopy) that allows us to make movies of each neuron's activity in response to carefully chosen visual stimuli. Together, these tools will allow to probe the functional logic of cortical circuits: the relationship between neuronal function and the wiring between neurons. The cerebral cortex is a network of networks. There are many different cortical regions each of which has its distinct inputs and outputs and distinct physiological properties. For instance, roughly ten visual cortical areas process different aspects of visual stimuli. We will start by studying the functional logic of wiring within three visual cortical areas: V1, AL and PM. We will then examine the functional logic of connections between these areas. The viral strategy that we employ is currently the only method that allow for both local and inter- areal connection to be studied along with physiology. The data we collect will help us understand feedforward, lateral, and feedback connections in cortical circuits and will form the foundation of new, data-driven models of cortical function.

项目摘要/摘要

项目成果

期刊论文数量（2）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Laminar distribution and arbor density of two functional classes of thalamic inputs to primary visual cortex.

DOI：
10.1016/j.celrep.2021.109826
发表时间：
2021-10-12
期刊：
Cell reports
影响因子：
8.8
作者：
Zhuang J;Wang Y;Ouellette ND;Turschak EE;Larsen RS;Takasaki KT;Daigle TL;Tasic B;Waters J;Zeng H;Reid RC
通讯作者：
Reid RC

Co-registration of mouse cortical structures between in vivo and ex vivo images using tangential sectioning.