Detection of neural activity in event-related fMRI using wavelets and dynamic time warping

Hansang Cho; George A. Ojemann; David Corina; Linda G. Shapiro

doi:10.1117/12.504845

19 November 2003 Detection of neural activity in event-related fMRI using wavelets and dynamic time warping

Hansang Cho, George A. Ojemann, David Corina, Linda G. Shapiro

Proceedings Volume 5203, Applications of Digital Image Processing XXVI; (2003) https://doi.org/10.1117/12.504845
Event: Optical Science and Technology, SPIE's 48th Annual Meeting, 2003, San Diego, California, United States

Abstract

In this paper, a method tha combines maximal overlapped discrete wavelet transforms (MODWT) and dynamic time warping (DTW) is presented as a solution for dynamically detecting the hemodynamic response (HR). The MODWT is very effective in extracting only hemodynamic response portions from original signal without any shape distortion. The DTW is desirable for finding various shapes of hemodynamic responses dynamically. The DTW finds the optimal path with minimum cost between the reference signal and the reconstructed input signals by warping the signals in time domain to try to fit the reference. The MODWT-DTW method was evaluated using both simulated and experimental fMRI data. Simulations required identification of 500 synthetically generated hemodynamic responses and 500 randomly generated signals. To access the performance, receiver operating characteristic (ROC) curves were produced. The results indicate better performance for the MODWT-DWT approach compared to the more standard simple correlation methods. Finally, the MODWT-DWT procedure was used to characterize an fMRI data set with good correspondences between solutions derived from statistical parametric mapping techniques.

Citation Download Citation

Hansang Cho, George A. Ojemann, David Corina, and Linda G. Shapiro "Detection of neural activity in event-related fMRI using wavelets and dynamic time warping", Proc. SPIE 5203, Applications of Digital Image Processing XXVI, (19 November 2003); https://doi.org/10.1117/12.504845

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