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Activation detection in fNIRS by wavelet coherence
Zhang, Xin; Niu, Haijing; Song, Yan; Fan, Yong; Tianzi Jiang
2012
Conference NameMEDICAL IMAGING 2012: BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING
Source PublicationSPIE Medical Imaging
Conference Date2012
Conference PlaceSan Diego
AbstractFunctional near infrared spectroscopy (fNIRS) is an optical technique measuring hemoglobin oxygenation and deoxygenation concentrations of brain cortex with higher temporal resolution than current alternative techniques. The high temporal resolution enables collecting abundant brain functional information. However, the information measured is correlated and mixed with a variety of physiological signals. Due to the mixture effect, activation detection is one of challenges of analyzing functional activity in fNIRS. To achieve a better detection of activated area from the complicated information, the paper presents a multi-scale analysis method based on the cross wavelet coherence. In the method, the paradigm of an experiment is used as the reference signal. The coherence of the signal with data measured by fNIRS at each channel is calculated. Then the coherence power is summated to evaluate the activation level. Experiments on simulated and real data demonstrate that the method is efficient to detect activated area covered by the fNIRS probe.
KeywordFnirs
Indexed BySCI
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/5275
Collection脑网络组研究中心
Corresponding AuthorTianzi Jiang
Recommended Citation
GB/T 7714
Zhang, Xin,Niu, Haijing,Song, Yan,et al. Activation detection in fNIRS by wavelet coherence[C],2012.
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