کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
6036366 1188775 2019 14 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Adjusting the effect of nonstationarity in cluster-based and TFCE inference
موضوعات مرتبط
علوم زیستی و بیوفناوری علم عصب شناسی علوم اعصاب شناختی
پیش نمایش صفحه اول مقاله
Adjusting the effect of nonstationarity in cluster-based and TFCE inference
چکیده انگلیسی
► In this paper adjusted cluster sizes are used in a permutation-testing framework for both cluster-based and threshold-free cluster enhancement (TFCE) inference and tested on both simulated and real data. ► We find TFCE inference is already fairly robust to nonstationarity in the data, while cluster-based inference requires an adjustment to ensure homogeneity. ► A group of possible multi-level adjustments are introduced and their results on simulated and real data are assessed using a new performance index. ► We also find that adjusting for local smoothness via a local estimation of a statistic's null distribution (from a first pass through the permutation testing) is more effective at removing nonstationarity than correction via local smoothness estimation.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: NeuroImage - Volume 54, Issue 3, 1 February 2011, Pages 2006-2019
نویسندگان
, , ,