Resting-state functional near-infrared spectroscopy in neurodegenerative diseases – A systematic review

IF 3.4 2区医学 Q2 NEUROIMAGING

Neuroimage-Clinical Pub Date : 2025-01-01 DOI:10.1016/j.nicl.2025.103733

Franziska Albrecht , Alexander Kvist , Erika Franzén

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引用次数: 0

Abstract

Objective

To systematically review and summarize alterations found in resting-state activity as measured via functional near-infrared spectroscopy (fNIRS) in neurodegenerative diseases.

Background

fNIRS is a novel and emerging neuroimaging method suitable for a variety of study designs. Resting-state is the measure of brain activity in the absence of a task, which has been investigated for yielding information about neurodegenerative diseases, mainly using magnetic resonance imaging. We aimed to systematically review the usage of resting-state fNIRS (rsfNIRS) in neurodegenerative diseases.

Inclusion criteria

Studies investigating people diagnosed with a neurodegenerative disease and resting-state activity obtained with fNIRS using at least two channels.

Methods

We searched three databases for publications. After the screening, 16 studies were included in the systematic review. The quality of the studies was assessed, and data were extracted. Data were qualitatively synthesized and in the case of at least 10 similar studies, a meta-analysis was planned.

Results

Most studies investigated Mild cognitive impairment (50%), followed by Alzheimer’s disease (25%). Other neurodegenerative diseases encompassed Parkinson’s disease, Multiple sclerosis, and Amyotrophic lateral sclerosis. All studies reported oxygenated hemoglobin. Still, studies were heterogeneous in terms of study design, measurement duration, fNIRS device, montage, pre-processing, and analyses. A meta-analysis was not considered possible due to this heterogeneity.

Conclusion

rsfNIRS shows promise in neurodegenerative disease, as most studies have observed resting-state alterations when compared to healthy controls. However, inconsistencies across studies limit data comparison and meta-analysis. Hence, we strongly advocate the application of fNIRS reporting guidelines and the establishment of rsfNIRS-specific guidelines. This will ensure reliable and comparable results in future research.

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静息状态功能近红外光谱在神经退行性疾病中的应用综述。

目的：系统回顾和总结功能近红外光谱（fNIRS）测量神经退行性疾病静息状态活动的变化。背景：fNIRS是一种新兴的神经成像方法，适用于各种研究设计。静息状态是在没有任务的情况下对大脑活动的测量，主要使用磁共振成像来研究神经退行性疾病的信息。我们的目的是系统地回顾静息状态fNIRS （rsfNIRS）在神经退行性疾病中的应用。纳入标准：研究调查被诊断为神经退行性疾病的患者，并使用至少两个通道的近红外光谱获得静息状态活动。方法：检索三个数据库的出版物。筛选后，16项研究纳入系统评价。评估了研究的质量，并提取了数据。对数据进行定性综合，并对至少10项类似研究进行meta分析。结果：大多数研究调查轻度认知障碍（50%），其次是阿尔茨海默病（25%）。其他神经退行性疾病包括帕金森病、多发性硬化症和肌萎缩侧索硬化症。所有的研究都报告了含氧血红蛋白。然而，研究在研究设计、测量时间、fNIRS设备、蒙太奇、预处理和分析方面存在异质性。由于这种异质性，不可能进行荟萃分析。结论：rsfNIRS在神经退行性疾病中显示出希望，因为大多数研究已经观察到与健康对照相比静息状态的改变。然而，研究之间的不一致性限制了数据比较和荟萃分析。因此，我们强烈建议应用fNIRS报告指南，并建立rsfnirs专用指南。这将确保在未来的研究中获得可靠和可比较的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Neuroimage-Clinical NEUROIMAGING-

CiteScore

7.50

自引率

4.80%

发文量

368

审稿时长

52 days

期刊介绍： NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.