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Spatial Smoothing Effect on Group-Level Functional Connectivity during Resting and Task-Based fMRI.
Candemir C. Candemir C. Sensors (Basel). 2023 Jun 24;23(13):5866. doi: 10.3390/s23135866. Sensors (Basel). 2023. PMID: 37447716 Free PMC article.
However, selecting an appropriate smoothing kernel size can be challenging as it can lead to undesired alterations in final images and functional connectivity networks. ...This study investigates the influence of kernel size on functional connectivi
However, selecting an appropriate smoothing kernel size can be challenging as it can lead to undesired alterations in final images an …
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 (
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
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