Detecting auditory cortex: A comparison of SPM and WSPM

Author

Sun, Shaojie ; Zhu, Liuhong ; Luo, Shuqiand

Author_Institution

College of Biomedical Engineering, Capital Medical University, Beijing 100069, China

fYear

2008

fDate

20-25 Aug. 2008

Firstpage

3937

Lastpage

3940

Abstract

Nowadays, statistical parametric mapping (SPM) is the most widely-used method for the analysis of fMRI data. As the progress of SPM, some researchers have proposed WSPM, a new method based on wavelet transform. The advantage of WSPM is that it can not only reduce the spatial bias of SPM, but also shows the closer result to the true active areas. In this paper, there are eight sets of fMRI data stimulated by voice, from which we want to figure out the active brain areas under the stimulation. To confirm the active areas, we used the two methods based on different smoothing methods and made comparison. WSPM was showed to have stronger control of type-I error (false positives) than SPM.

Keywords

Biomedical engineering; Biomedical imaging; Data analysis; Discrete wavelet transforms; Educational institutions; Performance evaluation; Scanning probe microscopy; Signal to noise ratio; Smoothing methods; Wavelet domain; Acoustic Stimulation; Algorithms; Auditory Cortex; Brain; Brain Mapping; Computer Simulation; Data Interpretation, Statistical; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Statistical; Nonlinear Dynamics; Normal Distribution; ROC Curve; Reproducibility of Results;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Conference_Location

Vancouver, BC

ISSN

1557-170X

Print_ISBN

978-1-4244-1814-5

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2008.4650071

Filename

4650071