Suppr超能文献

功能磁共振成像与近红外光谱技术联合应用于脑功能研究的进展

Applications and advances of combined fMRI-fNIRs techniques in brain functional research.

作者信息

Yang Lirui, Wang Zehua

机构信息

Key Laboratory of Biomechanics and Mechanobiology, Beihang University, Ministry of Education, Beijing, China.

Key Laboratory of Innovation and Transformation of Advanced Medical Devices, Ministry of Industry and Information Technology, Beijing, China.

出版信息

Front Neurol. 2025 Mar 18;16:1542075. doi: 10.3389/fneur.2025.1542075. eCollection 2025.

Abstract

Understanding the intricate functions of the human brain requires multimodal approaches that integrate complementary neuroimaging techniques. This review systematically examines the integration of functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRs) in brain functional research, addressing their synergistic potential, methodological advancements, clinical and neuroscientific applications, and persistent challenges. We conducted a comprehensive literature review of 63 studies (from PubMed and Web of Science up to September 2024) using keyword combinations such as fMRI, fNIRs, and multimodal imaging. Our analysis reveals three key findings: (1) Methodological Synergy: Combining fMRI's high spatial resolution with fNIRs's superior temporal resolution and portability enables robust spatiotemporal mapping of neural activity, validated across motor, cognitive, and clinical tasks. Additionally, this study examines experimental paradigms and data processing techniques essential for effective multimodal neuroimaging. (2) Applications: The review categorizes integration methodologies into synchronous and asynchronous detection modes, highlighting their respective applications in spatial localization, validation of efficacy, and mechanism discovery. Synchronous and asynchronous integration modes have advanced research in neurological disorders (e.g., stroke, Alzheimer's), social cognition, and neuroplasticity, while novel hyperscanning paradigms extend applications to naturalistic, interactive settings. (3) Challenges: Hardware incompatibilities (e.g., electromagnetic interference in MRI environments), experimental limitations (e.g., restricted motion paradigms), and data fusion complexities hinder widespread adoption. The future direction emphasizes hardware innovation (such as fNIR probe compatible with MRI), standardized protocol and data integration driven by machine learning, etc. to solve the depth limitation of fNIR and infer subcortical activities. This synthesis underscores the transformative potential of fMRI-fNIRs integration in bridging spatial and temporal gaps in neuroimaging, while enhancing diagnostic and therapeutic strategies and paving the way for future innovations in brain research.

摘要

了解人类大脑的复杂功能需要采用多模态方法,将互补的神经成像技术整合起来。本综述系统地研究了功能磁共振成像(fMRI)和功能近红外光谱(fNIRs)在脑功能研究中的整合,探讨了它们的协同潜力、方法学进展、临床和神经科学应用以及持续存在的挑战。我们使用诸如fMRI、fNIRs和多模态成像等关键词组合,对63项研究(截至2024年9月来自PubMed和科学网)进行了全面的文献综述。我们的分析揭示了三个关键发现:(1)方法学协同:将fMRI的高空间分辨率与fNIRs的卓越时间分辨率和便携性相结合,能够对神经活动进行强大的时空映射,这在运动、认知和临床任务中均得到了验证。此外,本研究还考察了有效进行多模态神经成像所必需的实验范式和数据处理技术。(2)应用:综述将整合方法分为同步和异步检测模式,突出了它们在空间定位、疗效验证和机制发现方面的各自应用。同步和异步整合模式推动了对神经系统疾病(如中风、阿尔茨海默病)、社会认知和神经可塑性的研究,而新型的超扫描范式将应用扩展到了自然、交互环境。(3)挑战:硬件不兼容(如MRI环境中的电磁干扰)、实验限制(如受限的运动范式)以及数据融合的复杂性阻碍了其广泛应用。未来的方向强调硬件创新(如与MRI兼容的fNIR探头)、由机器学习驱动的标准化协议和数据整合等,以解决fNIR的深度限制并推断皮层下活动。本综述强调了fMRI - fNIRs整合在弥合神经成像中的空间和时间差距方面的变革潜力,同时增强了诊断和治疗策略,并为未来脑研究的创新铺平了道路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34bb/11958174/92ca70b9fe18/fneur-16-1542075-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验