Hadj-Bouziane Fadila, Meunier Martine, Boussaoud Driss
Institut des Sciences Cognitives, CNRS UMR 5015, 67 Boulevard Pinel, 69675 Bron , France.
J Physiol Paris. 2003 Jul-Nov;97(4-6):567-79. doi: 10.1016/j.jphysparis.2004.01.014.
Sensory guidance of behavior often involves standard visuo-motor mapping of body movements onto objects and spatial locations. For example, looking at and reaching to grasp a glass of wine requires the mapping of the eyes and hand to the location of the glass in space, as well as the formation of a hand configuration appropriate to the shape of the glass. But our brain is far more than just a standard sensorimotor mapping machine. Through evolution, the brain of advanced mammals, in particular human and non-human primates, has acquired a formidable capacity to construct non-standard, arbitrary mapping using associations between external events and behavioral responses that bear no direct relationship. For example, we have all learned to stop at a red traffic light and to go at a green one, or to wait for a specific tone before dialing a phone number and to hang up when hearing a busy signal. These arbitrary associations are acquired through experience, thereby providing primates with a rich and flexible sensorimotor repertoire. Understanding how they are learned, and how they are recalled and used when the context requires them, has been one of the challenging issues for cognitive neuroscience. Valuable insights have been gained over the last two decades through the convergence of multiple complementary approaches. Human neuropsychology and experimental lesions in monkeys have identified a network of brain structures important for conditional sensorimotor associations, whereas imaging studies in healthy human subjects and electrophysiological recordings in awake monkeys have sought to identify the different functional processes underlying the overall function. The present review focuses on the contribution of a network linking the prefrontal cortex, basal ganglia, and dorsal premotor cortex, with special emphasis on results from recording experiments in monkeys. We will first review data pointing to a specific contribution of each component of the network to the performance of well-learned arbitrary visuo-motor associations, as well as data suggesting how novel associations are formed. Then we will propose a model positing that each component of the fronto-striatal network makes a specific contribution to the formation and/or execution of sensorimotor associations. In this model, the basal ganglia are thought to play a key role in linking the sensory, motor, and reward information necessary for arbitrary mapping.
行为的感觉引导通常涉及将身体动作与物体和空间位置进行标准的视觉-运动映射。例如,看着并伸手去拿一杯葡萄酒需要将眼睛和手映射到空间中杯子的位置,以及形成适合杯子形状的手部姿势。但我们的大脑远不止是一台标准的感觉运动映射机器。通过进化,高等哺乳动物,特别是人类和非人类灵长类动物的大脑,已经获得了一种强大的能力,即利用外部事件与行为反应之间不存在直接关系的关联来构建非标准的、任意的映射。例如,我们都学会了在红灯时停车,在绿灯时通行,或者在拨打特定电话号码之前等待特定的音调,听到忙音时挂断电话。这些任意的关联是通过经验获得的,从而为灵长类动物提供了丰富而灵活的感觉运动技能库。理解它们是如何学习的,以及在需要时如何回忆和使用它们,一直是认知神经科学面临的具有挑战性的问题之一。在过去二十年中,通过多种互补方法的融合,已经获得了有价值的见解。人类神经心理学和猴子的实验性损伤已经确定了一个对条件感觉运动关联很重要的脑结构网络,而对健康人类受试者的成像研究和清醒猴子的电生理记录则试图确定整体功能背后的不同功能过程。本综述重点关注连接前额叶皮层、基底神经节和背侧运动前皮层的网络的贡献,特别强调猴子记录实验的结果。我们将首先回顾指向该网络每个组件对熟练掌握的任意视觉-运动关联表现的特定贡献的数据,以及表明新关联如何形成的数据。然后,我们将提出一个模型,假定额叶-纹状体网络的每个组件对感觉运动关联的形成和/或执行都有特定贡献。在这个模型中,基底神经节被认为在连接任意映射所需的感觉、运动和奖励信息方面起着关键作用。