A study of long-term fMRI reproducibility using data-driven analysis methods-Reference-Cited by-同舟云学术

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A study of long-term fMRI reproducibility using data-driven analysis methods

Published:2014-11-18 Issue:4 Volume:24 Page:339-349
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int. J. Imaging Syst. Technol.

Author:

Song Xiaomu¹,Panych Lawrence P.²,Chou Ying-Hui³,Chen Nan-Kuei³

Affiliation:

1. Department of Electrical Engineering; School of Engineering; Widener University; Chester PA 19013

2. Department of Radiology; Brigham and Women's Hospital, Harvard Medical School; Boston MA 02115

3. Brain Imaging and Analysis Center; Duke University Medical Center; Durham NC 27710

Funder

National Institutes of Health

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/ima.22111/fullpdf

Reference35 articles.

1. Long-term test-retest reliability of functional MRI in a classification learning task;Aron;NeuroImage,2006

2. Measuring fMRI reliability with the intra-class correlation coefficient;Caceres;NeuroImage,2009

3. Brain imaging correlates of depressive symptom severity and predictors of symptom improvement after antidepressant treatment;Chen;Biol Psychiatry,2007

4. Wavelet-based statistical signal processing using hidden Markov models,”;Crouse;IEEE Trans Signal Process,1998

5. Nearest neighbour editing and condensing tools-synergy exploitation;Dasarathy;Pattern Anal Appl,2000

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