战略整合:fNIRS-EEG 双模态成像系统的跨学科回顾,为应用提供多模态神经成像。

IF 2.7 3区 医学 Q3 NEUROSCIENCES Brain Sciences Pub Date : 2024-10-16 DOI:10.3390/brainsci14101022
Jiafa Chen, Kaiwei Yu, Yifei Bi, Xing Ji, Dawei Zhang
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引用次数: 0

摘要

背景:近年来,人们对整合了功能性近红外光谱(fNIRS)和脑电图(EEG)以探测大脑功能的双模态成像系统兴趣大增。本综述旨在探讨该技术的进展和临床应用,强调 fNIRS 和 EEG 的协同整合。方法:综述首先详细介绍了 fNIRS 和 EEG 技术的基本原理和显著特征。它包括关键技术规格、数据处理方法和分析技术,以及对 30 项开创性研究的详尽评估,这些研究突出了 fNIRS-EEG 双模系统的优缺点。结果:论文介绍了多个临床领域的案例研究,如注意力缺陷多动障碍、婴儿痉挛、麻醉深度、智商估计和癫痫,展示了 fNIRS-EEG 系统在揭示疾病机制、评估治疗效果和提供精确诊断方案方面的潜力。值得关注的研究成果和关键性突破进一步加强了这一跨学科领域的发展轨迹。结论:本综述探讨了 fNIRS-EEG 双模态成像系统面临的挑战,并预测了未来的发展方向,包括硬件和软件的改进、系统性能的提高、成本的降低、实时监测能力以及更广泛的临床应用。它为研究人员提供了对该领域的全面了解,突出了 fNIRS-EEG 系统在神经科学和临床医学中的潜在应用。
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Strategic Integration: A Cross-Disciplinary Review of the fNIRS-EEG Dual-Modality Imaging System for Delivering Multimodal Neuroimaging to Applications.

Background: Recent years have seen a surge of interest in dual-modality imaging systems that integrate functional near-infrared spectroscopy (fNIRS) and electroencephalography (EEG) to probe brain function. This review aims to explore the advancements and clinical applications of this technology, emphasizing the synergistic integration of fNIRS and EEG. Methods: The review begins with a detailed examination of the fundamental principles and distinctive features of fNIRS and EEG techniques. It includes critical technical specifications, data-processing methodologies, and analysis techniques, alongside an exhaustive evaluation of 30 seminal studies that highlight the strengths and weaknesses of the fNIRS-EEG bimodal system. Results: The paper presents multiple case studies across various clinical domains-such as attention-deficit hyperactivity disorder, infantile spasms, depth of anesthesia, intelligence quotient estimation, and epilepsy-demonstrating the fNIRS-EEG system's potential in uncovering disease mechanisms, evaluating treatment efficacy, and providing precise diagnostic options. Noteworthy research findings and pivotal breakthroughs further reinforce the developmental trajectory of this interdisciplinary field. Conclusions: The review addresses challenges and anticipates future directions for the fNIRS-EEG dual-modal imaging system, including improvements in hardware and software, enhanced system performance, cost reduction, real-time monitoring capabilities, and broader clinical applications. It offers researchers a comprehensive understanding of the field, highlighting the potential applications of fNIRS-EEG systems in neuroscience and clinical medicine.

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来源期刊
Brain Sciences
Brain Sciences Neuroscience-General Neuroscience
CiteScore
4.80
自引率
9.10%
发文量
1472
审稿时长
18.71 days
期刊介绍: Brain Sciences (ISSN 2076-3425) is a peer-reviewed scientific journal that publishes original articles, critical reviews, research notes and short communications in the areas of cognitive neuroscience, developmental neuroscience, molecular and cellular neuroscience, neural engineering, neuroimaging, neurolinguistics, neuropathy, systems neuroscience, and theoretical and computational neuroscience. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Electronic files or software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material.
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