کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
417973 681595 2008 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Efficient modeling and inference for event-related fMRI data
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نظریه محاسباتی و ریاضیات
پیش نمایش صفحه اول مقاله
Efficient modeling and inference for event-related fMRI data
چکیده انگلیسی

Event-related functional magnetic resonance imaging (efMRI) has emerged as a powerful technique for detecting brains’ responses to presented stimuli. A primary goal in efMRI data analysis is to estimate the Hemodynamic Response Function (HRF) and to locate activated regions in human brains when specific tasks are performed. This paper develops new methodologies that are important improvements not only to parametric but also to nonparametric estimation and hypothesis testing of the HRF. First, an effective and computationally fast scheme for estimating the error covariance matrix for efMRI is proposed. Second, methodologies for estimation and hypothesis testing of the HRF are developed. Simulations support the effectiveness of our proposed methods. When applied to an efMRI dataset from an emotional control study, our method reveals more meaningful findings than the popular methods offered by AFNI and FSL.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Statistics & Data Analysis - Volume 52, Issue 10, 15 June 2008, Pages 4859–4871
نویسندگان
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