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WSPM: A New Approach for Wavelet-Based Statistical Analysis of fMRI Data

D. Van De Ville, T. Blu, M. Unser

Proceedings of the Eleventh Annual Meeting of the Organization for Human Brain Mapping (HBM'05), Toronto ON, Canada, June 12-16, 2005, pp. S17.

Recently, we have proposed a new framework for detecting brain activity from fMRI data, which is based on the spatial discrete wavelet transform. The standard wavelet-based approach performs a statistical test in the wavelet domain, and therefore fails to provide a rigorous statistical interpretation in the spatial domain. The new framework provides an “integrated” approach: the data is processed in the wavelet domain (e.g., by thresholding wavelet coefficients), and a suitable statistical testing procedure is applied afterwards in the spatial domain. This method is based on conservative assumptions only and has a strong type-I error control by construction. At the same time, it has a sensitivity comparable to that of SPM.

AUTHOR="Van De Ville, D. and Blu, T. and Unser, M.",
TITLE="{WSPM}: {A} New Approach for Wavelet-Based Statistical Analysis
        of {fMRI} Data",
BOOKTITLE="Eleventh Annual Meeting of the Organization for Human Brain
        Mapping ({HBM'05})",
address="Toronto ON, Canada",
month="June 12-16,",

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