کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9197818 | 1188874 | 2005 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images A simple nonparametric statistical thresholding for MEG spatial-filter source reconstruction images](/preview/png/9197818.png)
چکیده انگلیسی
This paper proposes a simple statistical method for extracting target source activities from spatio-temporal source activities reconstructed from MEG measurements. The method requires measurements in a control condition, which contains only non-target source activities. The method derives, at each pixel location, an empirical probability distribution of the non-target source activity using the time course reconstruction obtained from the control period. The statistical threshold that can extract the target source activities is derived from the empirical distributions obtained from all pixel locations. Here, the multiple comparison problem is addressed with a two-step procedure involving standardizing these empirical distributions and deriving an empirical distribution of the maximum pseudo T value at each pixel location. The results of applying the proposed method to auditory-evoked measurements are presented to demonstrate the method's effectiveness.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 27, Issue 2, 15 August 2005, Pages 368-376
Journal: NeuroImage - Volume 27, Issue 2, 15 August 2005, Pages 368-376
نویسندگان
Kensuke Sekihara, Maneesh Sahani, Srikantan S. Nagarajan,