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大脑可塑性对脑机接口操作的影响:一个潜在的悖论?

Implications of brain plasticity to brain-machine interfaces operation a potential paradox?

作者信息

Rossini Paolo Maria

机构信息

Department of Neurology, Università Campus Biomedico di Roma, Via Alvaro del Portillo 21, 00128 Roma, Italy.

出版信息

Int Rev Neurobiol. 2009;86:81-90. doi: 10.1016/S0074-7742(09)86006-6.

Abstract

The adult brain has the remarkable ability to plastically reorganize itself in order to record memories (experiences), to add abilities, and to learn skills, significantly expanding the carnet of resources useful for facing and solving the unpredictability of any daily life activity, that is, artistic and cultural activities. Brain plasticity also plays a crucial role in reorganizing central nervous system's networks after any lesion, being it sudden and localized, or progressive and diffuse, in order to partly or totally restore lost and/or compromised functions. In severely affected neurological patients unable to move and to communicate with the external environment, technologies implementing brain-machine interfaces (BMIs) can be of valuable help and support. Subjects operating within a BMI frame must learn how to produce a meaningful signal for an external reader; how to increase the signal-to-noise ratio at a level which makes it suitable for rapid communication with the machine; and how to improve the speed and specificity (bit rate) of signal production as a new language for governing and controlling a machine. Since it is of absolute importance for the patient to be able to maintain such a skill for a prolonged lapse of time (i.e., until his/her lost abilities are restored by a therapy and/or a different technology), neurophysiological phenomena at the base of plastic changes are obviously of remarkable importance within any BMI and are the content of the present chapter.

摘要

成人大脑具有显著的能力,能够通过可塑性方式进行自我重组,以记录记忆(经历)、增添能力并学习技能,从而显著扩充应对和解决日常生活活动(即艺术和文化活动)中不可预测性所需的资源库。脑可塑性在任何损伤(无论是突发性局部损伤,还是渐进性弥漫性损伤)后重组中枢神经系统网络方面也起着关键作用,以便部分或完全恢复丧失和/或受损的功能。在严重受影响、无法移动且无法与外部环境交流的神经疾病患者中,实施脑机接口(BMI)的技术可能会提供宝贵的帮助和支持。在BMI框架内操作的受试者必须学习如何为外部读取器生成有意义的信号;如何将信噪比提高到适合与机器快速通信的水平;以及如何提高信号生成的速度和特异性(比特率),将其作为控制机器的一种新语言。由于患者能够长时间保持这种技能(即直到其丧失的能力通过治疗和/或其他技术得以恢复)至关重要,因此,塑性变化所基于的神经生理现象在任何BMI中显然都非常重要,也是本章的内容。

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