Structural atlas-based spatial registration for functional near-infrared spectroscopy enabling inter-study data integration
Structural atlas-based spatial registration for functional near-infrared spectroscopy enabling inter-study data integration
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DOI：
10.1016/j.clinph.2009.01.023
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发表时间：
2009-07-01
影响因子：
4.7
通讯作者：
Dan, Ippeita
中科院分区：
文献类型：
--
作者：
Okamoto, Masako;Tsuzuki, Daisuke;Dan, Ippeita
目的：功能性近红外光谱（fNIRS）的使用正在增长，导致需要总结多项研究数据的方法。然而，当实验不共享公共通道（CH）布置时，这使用当前基于通道的方法是困难的。因此，我们提出并实现了CH-独立的分析方法总结fNIRS data.Methods：我们定义的子区域的空间箱组织fNIRS数据。基于宏观和微观结构信息在标准脑表面上定义子区域。概率估计CH的位置后，在标准的立体定位脑空间，CH为基础的数据被重组到这些空间箱，以评估子区域为基础的activation.Results：子区域的大小对应于fNIRS空间分辨率被定义。我们通过整合来自我们的两个fNIRS研究的数据来证明这种方法，这两个研究共享相同的感兴趣区域，但使用不同的通道安排。结论：使用这种方法，来自具有不同CH安排的多个fNIRS研究的数据可以在标准脑空间中整合，同时记住脑结构-功能关系。意义：目前的方法将有助于有效地利用积累fNIRS数据，允许整合多个研究的数据。(C)2009年国际临床神经生理学联合会。由Elsevier爱尔兰有限公司出版。保留所有权利。
Objective: The use of functional near-infrared spectroscopy (fNIRS) is growing, leading to a need for methods to summarise data from multiple studies. However, this is difficult using the current channel-based methods when experiments do not share a common channel (CH) arrangement. Thus, we proposed and implemented a CH-independent analysis method for summarising fNIRS data.Methods: We defined sub-regions as spatial bins to organise fNIRS data. Sub-regions were defined on the standard brain surface based on macro- and micro-structural information. After probabilistically estimating CH location in standard stereotaxic brain space, the CH-based data were reorganised into these spatial bins to evaluate sub-region-based activation.Results: Sub-regions with sizes corresponding to fNIRS spatial resolution were defined. We demonstrated this method by integrating data from two of our fNIRS studies that shared the same region of interest but used different channel arrangements.Conclusions: Using this method, data from multiple fNIRS studies with different CH arrangements can be integrated in standard brain space, while keeping in mind the brain structure-function relationship.Significance: The current method will facilitate an effective use of accumulating fNIRS data by allowing integration of data from multiple studies. (C) 2009 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.