中国组织工程研究 ›› 2021, Vol. 25 ›› Issue (11): 1799-1804.doi: 10.3969/j.issn.2095-4344.3078

• 组织构建综述 tissue construction review • 上一篇    

功能性近红外光谱在抑郁症研究中的应用

王丽群1,李雨谿1,金荣疆1,王文春2,庞日朝2,张安仁2   

  1. 1成都中医药大学养生康复学院,四川省成都市   610075;2西部战区总医院康复医学科,四川省成都市   610083
  • 收稿日期:2020-04-07 修回日期:2020-04-13 接受日期:2020-05-17 出版日期:2021-04-18 发布日期:2020-12-22
  • 通讯作者: 张安仁,教授,主任医师,博士生导师,西部战区总医院康复医学科,四川省成都市 610083
  • 作者简介:王丽群,女,1994年生,汉族,四川省泸州市人,成都中医药大学在读硕士,主要从事神经疾病康复的临床与基础研究。
  • 基金资助:
    国家重点研发计划中医药现代重点研发计划(2019YFC1710302),项目负责人:金荣疆

Application of functional near-infrared spectroscopy in the study of depression

Wang Liqun1, Li Yuxi1, Jin Rongjiang1, Wang Wenchun2, Pang Richao2, Zhang Anren2     

  1. 1College of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China; 2Department of Rehabilitation Medicine, General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China
  • Received:2020-04-07 Revised:2020-04-13 Accepted:2020-05-17 Online:2021-04-18 Published:2020-12-22
  • Contact: Zhang Anren, Professor, Chief physician, Doctoral supervisor, Department of Rehabilitation Medicine, General Hospital of Western Theater Command, Chengdu 610083, Sichuan Province, China
  • About author:Wang Liqun, Master candidate, College of Health and Rehabilitation, Chengdu University of Traditional Chinese Medicine, Chengdu 610075, Sichuan Province, China
  • Supported by:
    the National Key Research and Development Plan of China, No. 2019YFC1710302 (to JRJ)

摘要:

文题释义:
功能性近红外光谱(functional near-infrared spectroscopy,fNIRS):是一种神经影像学技术。由于血红蛋白在650-900 nm波长的近红外光吸收率低,因此近红外光能够在组织、头皮和颅骨中传播数厘米,并能检测大脑中血红蛋白的浓度。将近红外光的发射器和检测器放置到头皮上,可获得大脑皮质血红蛋白浓度变化的情况,从而了解大脑活动的相关信息。由于功能性近红外光谱的安全性、相对低成本、便携性和高时间分辨率,因此它有可能作为研究和临床广泛使用的有效工具。
抑郁症:是一种常见的精神障碍,其病因和病理生理学尚不明确。抑郁症的主要临床特征是长时间存在特定的躯体和认知异常,常表现为情绪低落、思维迟缓和意志活动减退,并伴有食欲减退、睡眠障碍和自杀意念与行为等躯体症状。

背景:目前对抑郁症的诊断和研究缺乏客观的生物学指标,功能性近红外光谱作为一种新兴无创的脑功能成像技术,可能是抑郁症识别和辅助诊断的潜在生物标记物。
目的:综述功能性近红外光谱技术在抑郁症研究中的相关应用,为临床研究提供指导。
方法:以“functional near-infrared spectroscopy,oxyhemoglobins,prefrontal cortex,depressive Disorder”为英文检索词,以“功能性近红外光谱,氧合血红蛋白,前额叶皮层,抑郁症”为中文检索词,由第一作者检索中国知网、万方、维普、PubMed和Web of Science数据库1996至2020年发表的文献,经过筛选最终获得50篇文献进行综述。
结果与结论:功能性近红外光谱信号可能是抑郁症潜在的生物标记物。功能性近红外光谱技术主要从额叶的血流动力学变化方面进行抑郁症的认知功能障碍研究,可用于抑郁症的鉴别诊断。但是目前对于功能性近红外光谱的研究还处于探索阶段,还存在一些缺陷,可以增加研究样本量和监测指标,同时将功能性近红外光谱与其他技术相融合,提高时间和空间分辨率,更加系统、全面、准确地研究抑郁症的神经机制。

https://orcid.org/0000-0001-6704-1518 (王丽群) 

中国组织工程研究杂志出版内容重点:组织构建;骨细胞;软骨细胞;细胞培养;成纤维细胞;血管内皮细胞;骨质疏松;组织工程



关键词: 功能性近红外光谱, 氧合血红蛋白, 前额叶皮质, 抑郁症, 脑, 综述

Abstract: BACKGROUND: The current diagnosis and study of depression lacks objective biological indicators. As an emerging non-invasive brain functional imaging technology, functional near infrared spectroscopy (fNIRS) may be a potential biomarker for the identification and diagnosis of depression.
OBJECTIVE: To review the application of fNIRS technique in depression research and provide guidance for clinical research.
METHODS: The keywords were “functional near-infrared spectroscopy, oxyhemoglobins, prefrontal cortex, depressive disorder.” The first author searched CNKI, WanFang, VIP, PuMed and Web of Science database from 1996 to 2020 in Chinese and English. Finally, 50 literatures were selected for review.
RESULTS AND CONCLUSION: fNIRS signal may be a potential biomarker for depression. fNIRS technology is mainly used to study the cognitive dysfunction of depression based on the frontal lobe hemodynamic changes, which can be used for the differential diagnosis of depression. However, the current research on fNIRS is still in the exploratory stage, and there are still some defects in the existing research, which need to be further optimized and deepened in the future research. It can increase the study sample size and monitoring indicators, and integrate fNIRS with other technologies to improve the temporal and spatial resolution, so as to study the neural mechanism of depression systematically, comprehensively and accurately.


Key words: functional near-infrared spectroscopy, oxyhemoglobins, prefrontal cortex, depressive disorder, brain, review

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