Large-scale recording of spike train ensembles from muscle fibers during skilled behavior in mice and songbirds

在小鼠和鸣禽的熟练行为过程中大规模记录肌肉纤维的尖峰训练组

• 批准号: 10464591
• 负责人: Muhannad Bakir
• 金额: $ 7.53万
• 依托单位: EMORY UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-06-15 至 2024-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10464591
• 关键词: Address; Animal Model; Behavior; Behavior Control; Clinical; Complex; Complex Analysis; Computational Technique; Computer software; Cutaneous; Data; Data Collection; Data Set; Development; Electrical Engineering; Electrodes; Engineering; Face; Forelimb; Generations; Grant; Human; Individual; Investigation; Isometric Exercise; Letters; Measurement; Mechanics; Mediating; Methods; Monitor; Morphology; Motor; Motor Neurons; Mus; Muscle; Muscle Fibers; Nervous System Physiology; Neurosciences; Organ; Pathologic; Pattern; Physicians; Population Analysis; Property; Rehabilitation device; Rehabilitation therapy; Research; Research Personnel; Signal Transduction; Skin; Songbirds; Sorting - Cell Movement; Surface; Surgical sutures; System; Systems Analysis; Techniques; Technology; Tissues; Training; Work; animal data; base; complement C2a; computerized data processing; computing resources; data acquisition; data exchange; density; design; dynamic system; flexibility; human subject; improved; innovation; invention; motor behavior; motor control; new technology; novel; open source; prototype; respiratory; scale up; tool

A crucial problem in motor neuroscience is to understand how muscles are activated to produce normal or pathological motor behavior. However, our understanding of how individual motor units (the muscle fibers activated by a single motor neuron) pattern their spiking to precisely control behavior is poor due to the limitations of current electromyographic (EMG) methods, which include fine wires inserted into muscles and, more recently, cutaneous EMG arrays used to record individual motor units, particularly in human subjects. However, both wire-based and cutaneous arrays face crucial limitations. Notably, they cannot record the very small and/or deep muscles that mediate fine motor control, due to tissue damage induced by wire insertion and by surface array's inability to monitor signals from deeper muscles. Furthermore, surface arrays have limited use outside of tightly-controlled (e.g. isometric force) tasks in humans, are not appropriate for long-term use in natural behaviors or in rehabilitative contexts, and perform poorly in animal models. Finally, wire electrodes typically provide only bulk multiunit recording (rather than single-unit spike trains). In this cross-disciplinary proposal between an electrophysiologist (Dr. Sober) and an electrical engineer (Dr. Bakir), we propose to fill this gap by creating a new generation of micro-scale, high channel-count EMG arrays to record massively parallel single-unit data across many muscles during natural behaviors.

运动神经科学的一个关键问题是了解肌肉是如何被激活来产生正常的或不正常的