Optimisation of functional near-infrared spectroscopy: differentiation of cortical and extracerebral signals

功能近红外光谱的优化：区分皮质和脑外信号

• 批准号: 233302313
• 负责人: Professor Dr. Andreas Jochen Fallgatter
• 金额: --
• 依托单位: Abteilung Allgemeine Psychiatrie und Psychotherapie mit Poliklinik
• 依托单位国家: 德国
• 项目类别: Research Grants
• 财政年份: 2013
• 资助国家: 德国
• 起止时间: 2012-12-31 至 2016-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/233302313?language=en
• 关键词: Optimisation; functional; near; infrared; spectroscopy

Functional near-infrared spectroscopy (fNIRS) is capable to measure cortical blood flow as indicator for brain activity - such as functional magentic resonance imaging (fMRI). fNIRS has crucial advantages in contrast to fMRI and other neuroimaging methods due to its high ecological validity. This is mainly the case in the investigation of patients with mental disorders or children. Further optimisation of this method is necessary despite high validity and reliablity. As fNIRS measures not only blood flow in calotte-near brain areas but also in skin and muscles of the head it is of high importance to identify the proportion of this extracerabral signal in the total signal and its reasons (e.g., muscular and cardiovascular activity). In addition, information with respect to a priori avoiding and a posteriori filtering of this noise is necessary. In general, there is limited evidence with respect to this subjects (identification, effect, and handling of extracerebral signals). Aim of the present proposal is the development and validation of specific fNIRS analysis strategies (algorithms for identification and filtering of extracerebral noise) and the further establishment of fNIRS as valide method of neuroimaging.

功能性近红外光谱（fNIRS）能够测量皮质血流量作为大脑活动的指标-例如功能性磁共振成像（fMRI）。与fMRI和其他神经成像方法相比，fNIRS具有重要的优势，因为它具有高度的生态有效性。这主要是在对精神障碍患者或儿童的调查中。尽管该方法具有较高的有效性和可靠性，但仍需进一步优化。由于fNIRS不仅测量帽状部附近脑区域中的血流，而且测量头部的皮肤和肌肉中的血流，因此识别该脑外信号在总信号中的比例及其原因（例如，肌肉和心血管活动）。此外，关于先验避免和后验滤波的信息是必要的。 一般来说，关于这一主题的证据有限（脑外信号的识别、影响和处理）。本提案的目的是开发和验证特定的fNIRS分析策略（用于识别和过滤脑外噪声的算法），并进一步建立fNIRS作为神经成像的有效方法。

项目成果

Verbesserung und Weiterentwicklung der Messmethoden zur Differenzierung kortikaler und extrakortikaler Signalanteile der funktionellen Nahinfrarotspektroskopie

区分功能性近红外光谱的皮质和皮质外信号分量的测量方法的改进和进一步发展

• DOI: 10.15496/publikation-18848
• 发表时间: 2017
• 作者: Alexander Mann

Reconstructing functional near-infrared spectroscopy (fNIRS) signals impaired by extra-cranial confounds: An easy-to-use filter method

• DOI: 10.1016/j.neuroimage.2014.02.035
• 发表时间: 2014-07-15
• 期刊: NEUROIMAGE
• 影响因子: 5.7
• 作者: Haeussinger, F. B.;Dresler, T.;Ehlis, A. -C.
• 通讯作者: Ehlis, A. -C.