Panuccio Gabriella, Semprini Marianna, Natale Lorenzo, Buccelli Stefano, Colombi Ilaria, Chiappalone Michela
Department of Neuroscience and Brain Technologies (NBT), Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Rehab Technologies, Istituto Italiano di Tecnologia, Genova, Italy.
Brain Neurosci Adv. 2018 May 21;2:2398212818776475. doi: 10.1177/2398212818776475. eCollection 2018 Jan-Dec.
In recent years, biomedical devices have proven to be able to target also different neurological disorders. Given the rapid ageing of the population and the increase of invalidating diseases affecting the central nervous system, there is a growing demand for biomedical devices of immediate clinical use. However, to reach useful therapeutic results, these tools need a multidisciplinary approach and a continuous dialogue between neuroscience and engineering, a field that is named neuroengineering. This is because it is fundamental to understand how to read and perturb the neural code in order to produce a significant clinical outcome.
In this review, we first highlight the importance of developing novel neurotechnological devices for brain repair and the major challenges expected in the next years. We describe the different types of brain repair strategies being developed in basic and clinical research and provide a brief overview of recent advances in artificial intelligence that have the potential to improve the devices themselves. We conclude by providing our perspective on their implementation to humans and the ethical issues that can arise.
Neuroengineering approaches promise to be at the core of future developments for clinical applications in brain repair, where the boundary between biology and artificial intelligence will become increasingly less pronounced.
近年来,生物医学设备已被证明能够针对不同的神经系统疾病。鉴于人口的快速老龄化以及影响中枢神经系统的致残性疾病的增加,对具有直接临床用途的生物医学设备的需求日益增长。然而,为了取得有效的治疗效果,这些工具需要多学科方法以及神经科学与工程学之间的持续对话,这一领域被称为神经工程学。这是因为理解如何读取和干扰神经编码以产生显著的临床结果至关重要。
在本综述中,我们首先强调开发用于脑修复的新型神经技术设备的重要性以及未来几年预期面临的主要挑战。我们描述了基础研究和临床研究中正在开发的不同类型的脑修复策略,并简要概述了人工智能的最新进展,这些进展有可能改进设备本身。我们通过阐述我们对这些设备应用于人类的看法以及可能出现的伦理问题来得出结论。
神经工程学方法有望成为未来脑修复临床应用发展的核心,在这一领域,生物学与人工智能之间的界限将越来越不明显。