Suppr超能文献

猴子不同皮层区域中视觉引发和自主手部运动之前的电位分布。

Distribution of potentials preceding visually initiated and self-paced hand movements in various cortical areas of the monkey.

作者信息

Gemba H, Sasaki K

出版信息

Brain Res. 1984 Jul 23;306(1-2):207-14. doi: 10.1016/0006-8993(84)90370-6.

Abstract

A monkey was trained to lift a lever by its hand in response to a light stimulus or at self-pace; field potentials preceding, respectively, visually initiated and self-paced movements were recorded in various areas on the dorso-lateral and mesial surface of the cerebral hemisphere, with electrodes implanted chronically on the surface and at 2.5-3.0 mm depth of respective cortical areas. Slowly rising, surface-negative, depth-positive (s-N, d-P) potentials were obtained prior to the self-paced movement in the bilateral premotor cortex, and in the contralateral forelimb motor, somatosensory and mesial premotor areas, resembling 'readiness potentials'. Potentials preceding the visually initiated movement occurred in more cortical areas than the self-paced movement, with characteristic potential features to respective areas. In bilateral prefrontal and prestriate cortices, early s-P, d-N and following s-N, d-P potentials were obtained. Only early s-P, d-N potentials occurred bilaterally in the premotor cortex. In the contralateral forelimb motor area, early s-P, d-N and late s-N, d-P premovement potentials were observed. In the mesial premotor area, s-P, d-N and following s-N, d-P potentials were recorded at a little longer latency and with smaller amplitude than in the motor cortex.

摘要

训练一只猴子根据光刺激或自主节奏用手抬起杠杆;分别在视觉引发运动和自主节奏运动之前,通过长期植入大脑半球背外侧和内侧表面各皮质区域表面及2.5 - 3.0毫米深度的电极,记录各区域的场电位。在双侧运动前皮质以及对侧前肢运动、体感和内侧运动前区域,在自主节奏运动之前获得了缓慢上升的、表面为负、深度为正(s - N,d - P)的电位,类似于“准备电位”。视觉引发运动之前的电位出现在比自主节奏运动更多的皮质区域,且各区域具有特征性的电位特征。在双侧前额叶和纹前皮质中,获得了早期的s - P,d - N以及随后的s - N,d - P电位。仅在运动前皮质双侧出现早期的s - P,d - N电位。在对侧前肢运动区域,观察到早期的s - P,d - N和晚期的s - N,d - P运动前电位。在内侧运动前区域,记录到的s - P,d - N以及随后的s - N,d - P电位潜伏期稍长且幅度小于运动皮质中的电位。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验