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Functional overestimation due to spatial smoothing of fMRI data.
Liu P, Calhoun V, Chen Z. Liu P, et al. J Neurosci Methods. 2017 Nov 1;291:1-12. doi: 10.1016/j.jneumeth.2017.08.003. Epub 2017 Aug 5. J Neurosci Methods. 2017. PMID: 28789993
BACKGROUND: Pearson correlation (simply correlation) is a basic technique for neuroimage function analysis. It has been observed that the spatial smoothing may cause functional overestimation, which however remains a lack of complete understandi …
BACKGROUND: Pearson correlation (simply correlation) is a basic technique for neuroimage function analysis. It has been observed that …
Effects of different smoothing on global and regional resting functional connectivity.
Alahmadi AAS. Alahmadi AAS. Neuroradiology. 2021 Jan;63(1):99-109. doi: 10.1007/s00234-020-02523-8. Epub 2020 Aug 25. Neuroradiology. 2021. PMID: 32840683
PURPOSE: Spatial smoothing is an essential pre-processing step in the process of analysing functional magnetic resonance imaging (fMRI) data, both during an experimental task or during resting-state fMRI (rsfMRI). ... …
PURPOSE: Spatial smoothing is an essential pre-processing step in the process of analysing functional magnetic
Voxel-wise partial volume correction method for accurate estimation of tissue sodium concentration in 23 Na-MRI at 7 T.
Kim SY, Song J, Yoon JH, Kim KN, Chung JY, Noh Y. Kim SY, et al. NMR Biomed. 2021 Feb;34(2):e4448. doi: 10.1002/nbm.4448. Epub 2020 Dec 3. NMR Biomed. 2021. PMID: 33270326 Free PMC article.
Sodium is crucial for the maintenance of cell physiology, and its regulation of the sodium-potassium pump has implications for various neurological conditions. ...The method is based on a linear regression (LR) approach to correct for tissue fraction effects, but it utiliz …
Sodium is crucial for the maintenance of cell physiology, and its regulation of the sodium-potassium pump has implications for variou …
Estimating the number of independent components for functional magnetic resonance imaging data.
Li YO, Adali T, Calhoun VD. Li YO, et al. Hum Brain Mapp. 2007 Nov;28(11):1251-66. doi: 10.1002/hbm.20359. Hum Brain Mapp. 2007. PMID: 17274023 Free PMC article.
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magnetic resonance imaging (fMRI) data to study brain function. ...We also perform order selection on fMR
Multivariate analysis methods such as independent component analysis (ICA) have been applied to the analysis of functional magneti
An empirical comparison of information-theoretic criteria in estimating the number of independent components of fMRI data.
Hui M, Li J, Wen X, Yao L, Long Z. Hui M, et al. PLoS One. 2011;6(12):e29274. doi: 10.1371/journal.pone.0029274. Epub 2011 Dec 27. PLoS One. 2011. PMID: 22216229 Free PMC article.
The present study explores and evaluates the performance of various ITC for the fMRI data with varied white noise levels, colored noise levels, temporal data sizes and spatial smoothness degrees. METHODOLOGY: Both simulated data and real …
The present study explores and evaluates the performance of various ITC for the fMRI data with varied white noise levels, colo …