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Temporal dynamics of visual working memory

Overview of attention for article published in NeuroImage, September 2015
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Title
Temporal dynamics of visual working memory
Published in
NeuroImage, September 2015
DOI 10.1016/j.neuroimage.2015.09.038
Pubmed ID
Authors

M. Sobczak-Edmans, T.H.B. Ng, Y.C. Chan, E. Chew, K.H. Chuang, S.H.A. Chen

Abstract

The involvement of the human cerebellum in working memory has been well established in the last decade. However, the cerebro-cerebellar network for visual working memory is not as well defined. Our previous fMRI study showed superior and inferior cerebellar activations during a block design visual working memory task, but specific cerebellar contributions to cognitive processes in encoding, maintenance and retrieval have not yet been established. The current study examined cerebellar contributions to each of the components of visual working memory and presence of cerebellar hemispheric laterality was investigated. 40 young adults performed a Sternberg visual working memory task during fMRI scanning using a parametric paradigm. The contrast between high and low memory load during each phase was examined. We found that the most prominent activation was observed in vermal lobule VIIIb and bilateral lobule VI during encoding. Using a quantitative laterality index, we found left-lateralized activation of lobule VIIIa was present in the encoding phase. In the maintenance phase, there was bilateral lobule VI and right-lateralized lobule VIIb activity. Changes in activation in right lobule VIIIa were present during the retrieval phase. The current results provide evidence that superior and inferior cerebellum contributes to visual working memory, with a tendency for left-lateralized activations in the inferior cerebellum during encoding and right-lateralized lobule VIIb activations during maintenance. The results of the study are in agreement with Baddeley's multi-component working memory model, but also suggest that stored visual representations are additionally supported by maintenance mechanisms that may employ verbal coding.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 19%
Student > Ph. D. Student 16 18%
Researcher 14 16%
Student > Postgraduate 6 7%
Student > Doctoral Student 5 6%
Other 13 15%
Unknown 18 20%
Readers by discipline Count As %
Psychology 29 33%
Neuroscience 15 17%
Medicine and Dentistry 10 11%
Social Sciences 4 4%
Engineering 3 3%
Other 6 7%
Unknown 22 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 September 2016.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from NeuroImage
#10,824
of 12,205 outputs
Outputs of similar age
#209,709
of 286,342 outputs
Outputs of similar age from NeuroImage
#190
of 233 outputs
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