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Research article summary:
Statistical tests for fMRI based on experimental randomization.
Abstract Extract:
Statistical parametric mapping (SPM) analysis of fMRI data requires specifying correctly the temporal and spatial noise covariance structure. This is a difficult if not impossible task. When these assumptions are not satisfied, statistical inference can ... (Full abstract text below) Published 2003Jun
in Journal: Neuroimage
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Neuroimage.
2003 Jun;19(2 Pt 1):226-32
Statistical tests for fMRI based on experimental randomization.
Raz J, Zheng H, Ombao H, Turetsky B
Division of Biostatistics, University of Pennsylvania, Philadelphia, PA 19104, USA.
Statistical parametric mapping (SPM) analysis of fMRI data requires specifying correctly the temporal and spatial noise covariance structure. This is a difficult if not impossible task. When these assumptions are not satisfied, statistical inference can be invalid or inefficient. Permutation tests are free of strong assumptions on the distribution of signal noise. We propose permutation tests of fMRI data based on experimental randomization of the stimulus sequences. Smooth hemodynamic response curves are estimated using quadratic B-splines. We study fMRI data obtained from event-related potential (ERP) oddball paradigm. Tests of two-tone and three-tone stimulus sequences are conducted to illustrate the application of the proposed method. Comparisons of the SPM and proposed method show that a permutation test is more specific and less susceptible to artifacts.
PMID : 12814573 [PubMed - Indexed for MEDLINE]
This information is obtained from the National Library of Medicine (NLM). Abstract text and other information may be subject to copyright. Type "NLM copyright" into Google for more information.
Full Author Information
| First Name | LastName | Initials |
| Jonathan | Raz | J |
| Hui | Zheng | H |
| Hernando | Ombao | H |
| Bruce | Turetsky | B |
Affiliation: Division of Biostatistics, University of Pennsylvania, Philadelphia, PA 19104, USA.
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MESH categories and related page links
This article was linked to the MESH categories shown on the left below. The links on the right are related Memletics pages.
Category links from this article:- Arousal - physiology
- Artifacts
- Brain Mapping
- Cerebral Cortex - physiology
- Event-Related Potentials, P300 - physiology
- Humans
- Image Processing, Computer-Assisted - statistics & numerical data
- Imaging, Three-Dimensional - statistics & numerical data
- Linear Models
- Magnetic Resonance Imaging - statistics & numerical data
- Mathematical Computing
- Pitch Perception - physiology
- Psychomotor Performance - physiology
- Random Allocation
| | Related Memletics topics: |
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