Suppr超能文献

脑-机接口用于意识障碍患者的意识检测、辅助诊断、预后和康复。

Brain-Computer Interfaces for Awareness Detection, Auxiliary Diagnosis, Prognosis, and Rehabilitation in Patients with Disorders of Consciousness.

机构信息

Pazhou Lab, Guangzhou, People's Republic of China.

School of Software, South China Normal University, Guangzhou, People's Republic of China.

出版信息

Semin Neurol. 2022 Jun;42(3):363-374. doi: 10.1055/a-1900-7261. Epub 2022 Jul 14.

Abstract

In recent years, neuroimaging studies have remarkably demonstrated the presence of cognitive motor dissociation in patients with disorders of consciousness (DoC). These findings accelerated the development of brain-computer interfaces (BCIs) as clinical tools for behaviorally unresponsive patients. This article reviews the recent progress of BCIs in patients with DoC and discusses the open challenges. In view of the practical application of BCIs in patients with DoC, four aspects of the relevant literature are introduced: consciousness detection, auxiliary diagnosis, prognosis, and rehabilitation. For each aspect, the paradigm design, brain signal processing methods, and experimental results of representative BCI systems are analyzed. Furthermore, this article provides guidance for BCI design for patients with DoC and discusses practical challenges for future research.

摘要

近年来,神经影像学研究显著表明,意识障碍(DOC)患者存在认知运动分离现象。这些发现加速了脑机接口(BCI)作为行为无反应患者的临床工具的发展。本文综述了 BCI 在意识障碍患者中的最新进展,并讨论了开放的挑战。鉴于 BCI 在意识障碍患者中的实际应用,本文介绍了相关文献的四个方面:意识检测、辅助诊断、预后和康复。对于每个方面,都分析了代表性 BCI 系统的范式设计、脑信号处理方法和实验结果。此外,本文为意识障碍患者的 BCI 设计提供了指导,并讨论了未来研究的实际挑战。

相似文献

2
Brain-computer interfaces for consciousness assessment and communication in severely brain-injured patients.
Handb Clin Neurol. 2020;168:137-152. doi: 10.1016/B978-0-444-63934-9.00011-1.
4
Brain-computer interfacing in disorders of consciousness.
Brain Inj. 2012;26(12):1510-22. doi: 10.3109/02699052.2012.698362. Epub 2012 Jul 3.
5
6
EEG-based Brain-Computer Interfaces for people with Disorders of Consciousness: Features and applications. A systematic review.
Front Hum Neurosci. 2022 Dec 5;16:1040816. doi: 10.3389/fnhum.2022.1040816. eCollection 2022.
8
Brain-Computer Interfaces for Communication in Patients with Disorders of Consciousness: A Gap Analysis and Scientific Roadmap.
Neurocrit Care. 2024 Aug;41(1):129-145. doi: 10.1007/s12028-023-01924-w. Epub 2024 Jan 29.
9
Toward Assessment of Sound Localization in Disorders of Consciousness Using a Hybrid Audiovisual Brain-Computer Interface.
IEEE Trans Neural Syst Rehabil Eng. 2022;30:1422-1432. doi: 10.1109/TNSRE.2022.3176354. Epub 2022 May 30.
10
BCI in patients with disorders of consciousness: clinical perspectives.
Ann Phys Rehabil Med. 2015 Feb;58(1):29-34. doi: 10.1016/j.rehab.2014.09.015. Epub 2015 Jan 8.

引用本文的文献

1
Reconstructing Covert Consciousness: Neural Decoding as a Novel Consciousness Assessment.
Neurology. 2025 Feb 25;104(4):e210208. doi: 10.1212/WNL.0000000000210208. Epub 2025 Jan 30.
2
Covert consciousness.
NeuroRehabilitation. 2024;54(1):23-42. doi: 10.3233/NRE-230123.

本文引用的文献

2
EEG Assessment in Patients With Disorders of Consciousness: Aims, Advantages, Limits, and Pitfalls.
Front Neurol. 2021 Apr 1;12:649849. doi: 10.3389/fneur.2021.649849. eCollection 2021.
4
The Quest for Covert Consciousness: Bringing Neuroethics to the Bedside.
Neurology. 2021 May 11;96(19):893-896. doi: 10.1212/WNL.0000000000011734. Epub 2021 Mar 2.
8
Improving diagnosis and prognosis in disorders of consciousness.
Brain. 2020 Apr 1;143(4):1050-1053. doi: 10.1093/brain/awaa056.
9
Translating the Discovery of Covert Consciousness Into Clinical Practice.
JAMA Neurol. 2020 May 1;77(5):541-542. doi: 10.1001/jamaneurol.2020.0232.
10
Brain-computer interfaces for consciousness assessment and communication in severely brain-injured patients.
Handb Clin Neurol. 2020;168:137-152. doi: 10.1016/B978-0-444-63934-9.00011-1.

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