2012
DOI: 10.1016/j.neulet.2011.12.016
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Volumetric variation in subregions of the cerebellum correlates with working memory performance

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Cited by 41 publications
(27 citation statements)
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“…Additionally, previous studies have shown that cerebellar (Ding et al, 2012), striatum, lateral prefrontal and frontoparietal grey matter volume alterations are associated with WM capacity (Ruge and Wolfensteller, 2015), and that larger volume in the lateral prefrontal cortex is particularly susceptible to variations in WM capacity (Reid et al, 2015). Furthermore, training using a WM task has been associated with reductions in frontoparietal network volume (Takeuchi et al, 2011), although there is some indication that basal ganglia networks are more susceptible to WM training (Klingberg, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Additionally, previous studies have shown that cerebellar (Ding et al, 2012), striatum, lateral prefrontal and frontoparietal grey matter volume alterations are associated with WM capacity (Ruge and Wolfensteller, 2015), and that larger volume in the lateral prefrontal cortex is particularly susceptible to variations in WM capacity (Reid et al, 2015). Furthermore, training using a WM task has been associated with reductions in frontoparietal network volume (Takeuchi et al, 2011), although there is some indication that basal ganglia networks are more susceptible to WM training (Klingberg, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…WM was assessed with a letter 2-back task as described previously (Ding et al , 2012). Briefly, each participant viewed a series of letters that were presented sequentially and was asked to judge whether the letter on the screen was identical to the one presented two trials back.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, the results were displayed using FSLviewer (http://fsl.fmrib.ox.ac.uk/fsl/fslview/). Generally, AlphaSim is widely used in previous literatures about VBM data analysis (DeYoung et al, 2010;Schwartz et al, 2010;Ding et al, 2012;Zou et al, 2012;Farb et al, 2013;Kong et al, 2013;Yang et al, 2013). Although the results corrected by Monte Carlo simulation might have some limitations reported in the study of Silver et al (2011), it can provide the appropriate cluster-level threshold to achieve the desired false-positive rate.…”
Section: Mri Data Analysismentioning
confidence: 99%