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Development of the Complex General Linear Model in the Fourier Domain : Application to fMRI Multiple Input-Output Evoked Responses for Single Subjects
Joint Authors
Hommer, Daniel W.
Rio, Daniel E.
Woltz, Lawrence A.
Rawlings, Robert R.
Gilman, Jodi
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-06-12
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
A linear time-invariant model based on statistical time series analysis in the Fourier domain for single subjects is further developed and applied to functional MRI (fMRI) blood-oxygen level-dependent (BOLD) multivariate data.
This methodology was originally developed to analyze multiple stimulus input evoked response BOLD data.
However, to analyze clinical data generated using a repeated measures experimental design, the model has been extended to handle multivariate time series data and demonstrated on control and alcoholic subjects taken from data previously analyzed in the temporal domain.
Analysis of BOLD data is typically carried out in the time domain where the data has a high temporal correlation.
These analyses generally employ parametric models of the hemodynamic response function (HRF) where prewhitening of the data is attempted using autoregressive (AR) models for the noise.
However, this data can be analyzed in the Fourier domain.
Here, assumptions made on the noise structure are less restrictive, and hypothesis tests can be constructed based on voxel-specific nonparametric estimates of the hemodynamic transfer function (HRF in the Fourier domain).
This is especially important for experimental designs involving multiple states (either stimulus or drug induced) that may alter the form of the response function.
American Psychological Association (APA)
Rio, Daniel E.& Rawlings, Robert R.& Woltz, Lawrence A.& Gilman, Jodi& Hommer, Daniel W.. 2013. Development of the Complex General Linear Model in the Fourier Domain : Application to fMRI Multiple Input-Output Evoked Responses for Single Subjects. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-487738
Modern Language Association (MLA)
Rio, Daniel E.…[et al.]. Development of the Complex General Linear Model in the Fourier Domain : Application to fMRI Multiple Input-Output Evoked Responses for Single Subjects. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-16.
https://search.emarefa.net/detail/BIM-487738
American Medical Association (AMA)
Rio, Daniel E.& Rawlings, Robert R.& Woltz, Lawrence A.& Gilman, Jodi& Hommer, Daniel W.. Development of the Complex General Linear Model in the Fourier Domain : Application to fMRI Multiple Input-Output Evoked Responses for Single Subjects. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-16.
https://search.emarefa.net/detail/BIM-487738
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487738