人类侵入性脑机接口的最新技术:系统回顾和个体患者荟萃分析。

IF 3.8
Mervyn Jun Rui Lim, Jack Yu Tung Lo, Yong Yi Tan, Hong-Yi Lin, Yuhang Wang, Dewei Tan, Eugene Wang, Yin Yin Naing Ma, Joel Jia Wei Ng, Ryan Ashraf Jefree, Yeo Tseng Tsai
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引用次数: 0

摘要

自30年前第一个神经营养电极被植入人体以来,侵入性脑机接口(iBCIs)已经发生了显著的发展。从那时起,硬件和软件的进步都提高了iBCI的性能,使其能够执行诸如实时解码对话和通过触觉反馈操纵外部肢体假体等任务。在这篇系统综述中,我们旨在评估iBCI硬件、软件和功能方面的进展,并描述iBCI领域的挑战和机遇。 ;方法 ;Medline、EMBASE和Cochrane数据库从成立到2024年4月13日进行了检索。纳入了报告在人类受试者中使用iBCI以恢复功能的初步研究。提取的端点包括iBCI电极类型、iBCI植入、解码器算法、iBCI效应器、测试和训练方法以及功能结果。结果的叙述性综合是通过关注硬件和软件随着时间的发展趋势来完成的。还收集了个体患者数据(IPD),并进行了IPD荟萃分析,以确定影响iBCI表现的重要因素。主要结果本系统综述纳入了93项研究,涉及214例患者。光标控制任务的任务表现正确率中位数为76.00%(四分位数间距[IQR] = 21.2),运动任务的任务表现正确率中位数为80.00% (IQR = 23.3),交流任务的任务表现正确率中位数为93.27% (IQR = 15.3)。目前iBCI软件的进步包括使用循环神经网络架构作为解码器,而硬件的进步,如血管内支架,为神经记录提供了一种侵入性较小的选择。挑战包括缺乏针对特定功能结果的标准化测试范例,以及可移植性和慢性性问题,限制了iBCI在实验室环境中的使用。意义我们的系统综述表明,iBCI在过去20年中以指数速度发展。然而,要将其广泛应用于临床并转化为长期的家庭使用,还需要做更多的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The state-of-the-art of invasive brain-computer interfaces in humans: a systematic review and individual patient meta-analysis.

Objective.Invasive brain-computer interfaces (iBCIs) have evolved significantly since the first neurotrophic electrode was implanted in a human subject three decades ago. Since then, both hardware and software advances have increased the iBCI performance to enable tasks such as decoding conversations in real-time and manipulating external limb prostheses with haptic feedback. In this systematic review, we aim to evaluate the advances in iBCI hardware, software and functionality and describe challenges and opportunities in the iBCI field.Approach.Medline, EMBASE, PubMed and Cochrane databases were searched from inception until 13 April 2024. Primary studies reporting the use of iBCI in human subjects to restore function were included. Endpoints extracted include iBCI electrode type, iBCI implantation, decoder algorithm, iBCI effector, testing and training methodology and functional outcomes. Narrative synthesis of outcomes was done with a focus on hardware and software development trends over time. Individual patient data (IPD) was also collected and an IPD meta-analysis was done to identify factors significant to iBCI performance.Main results.93 studies involving 214 patients were included in this systematic review. The median task performance accuracy for cursor control tasks was 76.00% (Interquartile range [IQR] = 21.2), for motor tasks was 80.00% (IQR = 23.3), and for communication tasks was 93.27% (IQR = 15.3). Current advances in iBCI software include use of recurrent neural network architectures as decoders, while hardware advances such as intravascular stentrodes provide a less invasive alternative for neural recording. Challenges include the lack of standardized testing paradigms for specific functional outcomes and issues with portability and chronicity limiting iBCI usage to laboratory settings.Significance.Our systematic review demonstrated the exponential rate at which iBCIs have evolved over the past two decades. Yet, more work is needed for widespread clinical adoption and translation to long-term home-use.

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