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
2013 1
2018 1
2020 0
Text availability
Article attribute
Article type
Publication date

Search Results

2 results
Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Effect of Spatial Smoothing on Task fMRI ICA and Functional Connectivity.
Chen Z, Calhoun V. Chen Z, et al. Front Neurosci. 2018 Feb 2;12:15. doi: 10.3389/fnins.2018.00015. eCollection 2018. Front Neurosci. 2018. PMID: 29456485 Free PMC article.
Spatial smoothing is a widely used preprocessing step in functional magnetic resonance imaging (fMRI) data analysis. In this work, we report on the spatial smoothing effect on task-evoked fMRI bra
Spatial smoothing is a widely used preprocessing step in functional magnetic resonance imaging (
SACICA: a sparse approximation coefficient-based ICA model for functional magnetic resonance imaging data analysis.
Wang N, Zeng W, Chen L. Wang N, et al. J Neurosci Methods. 2013 May 30;216(1):49-61. doi: 10.1016/j.jneumeth.2013.03.014. Epub 2013 Apr 4. J Neurosci Methods. 2013. PMID: 23563324
Independent component analysis (ICA) has been widely used in functional magnetic resonance imaging (fMRI) data to evaluate the functional connectivity, which assumes that the sources of functional networks are statist …
Independent component analysis (ICA) has been widely used in functional magnetic resonance imaging (fM
Feedback