Activation detection in fNIRS by wavelet coherence

Xin Zhang; Haijing Niu; Yan Song; Yong Fan

doi:10.1117/12.911312

5 April 2012 Activation detection in fNIRS by wavelet coherence

Xin Zhang, Haijing Niu, Yan Song, Yong Fan

Author Affiliations +

Proceedings Volume 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging; 831712 (2012) https://doi.org/10.1117/12.911312
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

Functional near infrared spectroscopy (fNIRS) is an optical technique measuring hemoglobin oxygenation and deoxygenation concentrations of the brain cortex with higher temporal resolution than current alternative techniques. The high temporal resolution enables collecting abundant brain functional information. However, the information collected by fNIRS is correlated and mixed with a variety of physiological signals. Due to the mixture effect, activation detection is one of challenges in fNIRS based studies of the brain functional activities. To achieve a better detection of activated brain regions from the complicated information measures, we present a multi-scale analysis method based on a wavelet coherence measure. In particular, 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 and summed up to evaluate the activation level. Experiments on simulated and real data have demonstrated that the proposed method is efficient and effective to detect activated brain regions covered by the fNIRS probe.

Citation Download Citation

Xin Zhang, Haijing Niu, Yan Song, and Yong Fan "Activation detection in fNIRS by wavelet coherence", Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 831712 (5 April 2012); https://doi.org/10.1117/12.911312

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