Neural coding of leg proprioception

腿部本体感觉的神经编码

基本信息

批准号：
10624896
负责人：
John Tuthill
金额：
$ 38.55万
依托单位：
UNIVERSITY OF WASHINGTON
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：
2017-06-01 至 2027-05-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10624896
关键词：
3-Dimensional Anatomy Animals Award Axon Behavior Behavioral Calcium Central Nervous System Code Computer Models Development Drosophila genus Drosophila melanogaster Electrophysiology (science)Feedback Genetic Genetic Models Health Human Image Interneurons Invertebrates Joints Label Leg Limb structure Maps Measures Methods Modeling Morphology Motor Movement Movement Disorders Muscle Spindles Musculoskeletal Equilibrium Nerve Neurons Patients Peripheral Phase Positioning Attribute Posture Process Proprioception Proprioceptor Research Role Scheme Signal Transduction Site Somatosensory Disorders Specificity Speed Spinal Cord Synapses System Therapeutic Vertebrates Walking arm arm movement body position cell type chronic pain flexibility fly improved innovation insight kinematics limb movement mechanical force model organism motor behavior motor control neural neuromechanism optogenetics peripheral nerve damage presynaptic response sensor sensory feedback somatosensory synaptic inhibition tool two-photon vibration

项目摘要

Project Summary Proprioception, the sense of self-movement and body position, is critical for the effective control of motor behavior. Humans lacking proprioceptive feedback, such as patients with peripheral nerve damage, are unable to maintain limb posture or coordinate fine-scale movements of the arms and legs. But despite the importance of proprioception to the control of movement in all animals, little is known about the neural computations that underlie limb proprioception in any animal. This gap is due to two basic challenges: (1) identifying specific neuronal-cell types that detect and process proprioceptive signals, and (2) recording neural activity from proprioceptive circuits during natural limb movements. Here, we propose to overcome these challenges by investigating the neural coding of leg proprioception in a genetic model organism: the fruit fly, Drosophila. We have developed new methods to record and manipulate the activity of genetically- identified neurons in proprioceptive circuits of behaving flies. We will first determine the functional role of distinct proprioceptor subtypes in controlling limb posture and movement during walking (Aim 1). We will then compare how proprioceptive signals are encoded during passive and active limb movements (Aim 2), and trace down the circuit mechanisms that underlie state-dependent proprioceptive coding (Aim 3). Altogether, these studies will elucidate basic mechanisms of proprioceptive neural processing that have not possible to investigate in other systems. Although there are morphological differences between flies and humans, the basic building blocks of invertebrate and vertebrate somatosensory systems share a striking evolutionary conservation. These similarities suggest that the general principles discovered in circuits of the fruit fly will be highly relevant to somatosensory processing in other animals. A deeper understanding of proprioception has the potential to transform the way in which we treat somatosensory disorders.

项目摘要本体感受，自动移动和身体位置的感觉，对于有效的控制至关重要运动行为。人类缺乏本体感受反馈，例如外周患者神经损伤，无法维持肢体姿势或协调的精细运动手臂和腿。但是，尽管本体感受对控制所有运动的控制很重要动物，对任何肢体本体感受的神经计算知之甚少动物。此差距是由于两个基本挑战所致：（1）确定特定的神经元细胞类型检测和过程本体感受信号，以及（2）从本体感受中记录神经活动自然肢体运动中的电路。在这里，我们建议通过调查遗传模型生物中腿本体感受的神经编码：果蝇，果蝇。我们开发了新方法来记录和操纵遗传学的活性在行为苍蝇的本体感受电路中鉴定了神经元。我们将首先确定独特的本体受体亚型在控制肢体姿势和运动中的功能作用在步行期间（AIM 1）。然后，我们将比较本体感受信号的编码被动和主动的肢体运动（AIM 2），并追踪基于的电路机制国家依赖性的前置概念编码（AIM 3）。总之，这些研究将阐明基本本体感受性神经加工的机制，在其他方面无法进行研究系统。尽管苍蝇和人之间存在形态学差异，但基本无脊椎动物和脊椎动物体感系统的组成部分共享一个惊人的进化保护。这些相似之处表明，在果蝇的电路将与其他动物的体感加工高度相关。一个对本体感受的更深入理解有可能改变我们对待的方式体感障碍。

项目成果

期刊论文数量（6）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Neural Coding of Leg Proprioception in Drosophila.

DOI：
10.1016/j.neuron.2018.09.009
发表时间：
2018-11-07
期刊：
Neuron
影响因子：
16.2
作者：
Mamiya A;Gurung P;Tuthill JC
通讯作者：
Tuthill JC

Anipose: A toolkit for robust markerless 3D pose estimation.

DOI：
10.1016/j.celrep.2021.109730
发表时间：
2021-09-28
期刊：
Cell reports
影响因子：
8.8
作者：
Karashchuk P;Rupp KL;Dickinson ES;Walling-Bell S;Sanders E;Azim E;Brunton BW;Tuthill JC
通讯作者：
Tuthill JC

Dense neuronal reconstruction through X-ray holographic nano-tomography.

DOI：
10.1038/s41593-020-0704-9
发表时间：
2020-12
期刊：
Nature neuroscience
影响因子：
25
作者：
Kuan AT;Phelps JS;Thomas LA;Nguyen TM;Han J;Chen CL;Azevedo AW;Tuthill JC;Funke J;Cloetens P;Pacureanu A;Lee WA
通讯作者：
Lee WA