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Mechanosensory feature extraction for directed motor control

用于定向运动控制的机械感觉特征提取

基本信息

批准号：
10202742
负责人：
Rachel Wilson
金额：
$ 35.62万
依托单位：
HARVARD MEDICAL SCHOOL
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：
2017-09-01 至 2023-06-30
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10202742
关键词：
Address Animals Auditory Axon Behavior Behavioral Biological Models Brain Brain region Calcium Cell physiology Cells Characteristics Code Complement Computational algorithm Coupling Cues Data Dependence Disease Distal Drosophila genus Electrophysiology (science)Environmental Wind Failure Force of Gravity Frequencies Genes Goals Head Health Human Image Individual Lateral Left Leg Link Lobe Measures Mechanics Membrane Mental disorders Methods Motor Motor Neurons Movement Nerve Neurons Odors Optics Organ Organism Pattern Phenotype Physiology Population Postural adjustments Process Property Sensory Side Signal Transduction Stimulus Synapses System Testing Therapeutic Touch sensation Walking Whole-Cell Recordings Work behavior measurement experimental study extracellular feature extraction flexibility fly high dimensionality imaging study improved in vivo in vivo calcium imaging innovation insight mechanical force motor control nervous system disorder neural circuit neuronal cell body postsynaptic postsynaptic neurons relating to nervous system response sensor sensory stimulus somatosensory sound spatiotemporal temporal measurement vibration voltage

项目摘要

Summary This proposal addresses two fundamental questions: (1) How do neurons extract features of mechanosensory stimuli that are relevant for motor control? (2) How do central circuits create a flexible linkage between mechanosensory stimuli and behavior? These questions are relevant to human health because sensory processing and sensory-motor integration are disrupted in many neurological and psychiatric disorders. However, sensory processing and sensory-motor integration are not fully understood at the level of cellular mechanisms – i.e., at the level of neural connectivity, cellular physiology, and synaptic physiology. This level of mechanistic explanation is important to understanding why disease-linked genes produce their characteristic phenotypes. It is also important to developing better therapeutics. As a model system for gaining mechanistic insight into these brain functions, this project will focus on the largest mechanosensory organ in Drosophila (Johnston's organ) and the circuits and behaviors downstream from this organ. Johnston's organ neurons (JONs) encode deflections of the distal antennal segment. These deflections can result from an object touching the antenna, wind, postural changes, or sound. In essence, therefore, Johnston's organ has a range of functions – somatosensory, vestibular, and auditory. Different JON stimuli elicit different behaviors. These behaviors are variable and context-dependent (not stereotyped action patterns) and so we can use this system to study flexibility in sensory-motor coupling. Our first aim is to determine how JONs encode mechanical stimuli. To test the hypothesis that JONs are highly specialized for specific spatiotemporal features of antennal deflections, we will use a combination of in vivo calcium imaging, electrophysiology, and voltage imaging. Second, we will use in vivo whole cell recordings to test the hypothesis that central neurons postsynaptic to JONs can extract specific frequencies of antennal vibrations by virtue of their intrinsic electrical bandpass filtering characteristics. Third, we will perform in vivo whole cell recordings to investigate how mechanosensory signals are encoded at the level of third-order neurons, and how these signals are relayed to motor control centers. We hypothesize that wind and sound stimuli will be encoded by largely distinct neural channels. Fourth, we will combine whole-cell recording with simultaneous behavioral measurements to determine how mechanosensory cues from JONs steer walking direction in a context-dependent manner. We hypothesize that heading direction cues and context cues will converge at the level of descending motor control neurons that project to the ventral nerve cord. As a whole, this work will provide new insights into the neural computations that occur in mechanosensory processing and mechanosensory- motor integration, as well as the cellular mechanisms that implement these computations.

总结这项建议涉及两个基本问题： (1)神经元如何提取与运动控制相关的机械感觉刺激的特征？ (2)中央回路如何在机械感觉刺激和行为之间建立灵活的联系？这些问题与人类健康有关，因为感觉处理和感觉-运动整合被破坏，许多神经和精神疾病。然而，感觉加工和感觉-运动整合并不完全，在细胞机制的水平上理解-即，在神经连接、细胞生理学和突触的水平上， physiology.这一层次的机械解释对于理解为什么疾病相关基因产生它们的特征表型这对开发更好的治疗方法也很重要。作为一个模型系统，为了深入了解这些大脑功能，该项目将重点关注果蝇中最大的机械感觉器官（约翰斯顿的器官）和这个器官下游的回路和行为。约翰斯顿器官神经元（容斯）编码远触角节的偏转。这些偏转可能是由于物体接触天线，风，姿势变化或声音。因此，从本质上讲，约翰斯顿的器官具有一系列功能--躯体感觉、前庭、和听觉。不同的JON刺激引发不同的行为。这些行为是可变的，并依赖于上下文（不刻板的动作模式），因此我们可以使用这个系统来研究感觉-运动耦合中的灵活性。我们的首要目标是来确定容斯如何编码机械刺激。为了验证容斯高度专业化的假设，触角偏转的时空特征，我们将使用体内钙成像，电生理学，和电压成像。其次，我们将使用体内全细胞记录来检验中枢神经元突触后的容斯可以凭借其固有的电带通提取特定频率的触角振动滤波特性第三，我们将在体内进行全细胞记录，以研究机械感觉信号如何是在三级神经元的水平上编码的，以及这些信号是如何传递到运动控制中心的。我们假设风和声音刺激将由很大程度上不同的神经通道编码。第四，我们将联合收割机全细胞记录与同步行为测量，以确定来自容斯的机械感觉线索以上下文相关方式操纵行走方向。我们假设航向线索和语境线索在投射到腹神经索的下行运动控制神经元的水平上会聚。总体而言，这项工作将为机械感觉处理和机械感觉中发生的神经计算提供新的见解- 运动整合，以及实现这些计算的细胞机制。