Skip to main page content
Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

My NCBI Filters
Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2007 1
2011 1
2017 1
2020 0
Text availability
Article attribute
Article type
Publication date

Search Results

3 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
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 …
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. ...PRINCIPAL FINDINGS: Results indicate that the …
The present study explores and evaluates the performance of various ITC for the fMRI data with varied white noise levels, colo …
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
Feedback