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Spreading activation in nonverbal memory networks

Overview of attention for article published in Brain Informatics, November 2016
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Title
Spreading activation in nonverbal memory networks
Published in
Brain Informatics, November 2016
DOI 10.1007/s40708-016-0058-y
Pubmed ID
Authors

Paul S. Foster, Candias Wakefield, Scott Pryjmak, Katelyn M. Roosa, Kaylei K. Branch, Valeria Drago, David W. Harrison, Ronald Ruff

Abstract

Theories of spreading activation primarily involve semantic memory networks. However, the existence of separate verbal and visuospatial memory networks suggests that spreading activation may also occur in visuospatial memory networks. The purpose of the present investigation was to explore this possibility. Specifically, this study sought to create and describe the design frequency corpus and to determine whether this measure of visuospatial spreading activation was related to right hemisphere functioning and spreading activation in verbal memory networks. We used word frequencies taken from the Controlled Oral Word Association Test and design frequencies taken from the Ruff Figural Fluency Test as measures of verbal and visuospatial spreading activation, respectively. Average word and design frequencies were then correlated with measures of left and right cerebral functioning. The results indicated that a significant relationship exists between performance on a test of right posterior functioning (Block Design) and design frequency. A significant negative relationship also exists between spreading activation in semantic memory networks and design frequency. Based on our findings, the hypotheses were supported. Further research will need to be conducted to examine whether spreading activation exists in visuospatial memory networks as well as the parameters that might modulate this spreading activation, such as the influence of neurotransmitters.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Professor > Associate Professor 2 12%
Student > Master 2 12%
Professor 2 12%
Other 1 6%
Other 3 18%
Unknown 4 24%
Readers by discipline Count As %
Psychology 4 24%
Neuroscience 2 12%
Medicine and Dentistry 2 12%
Computer Science 1 6%
Unspecified 1 6%
Other 2 12%
Unknown 5 29%
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 05 January 2017.
All research outputs
#20,376,559
of 22,925,760 outputs
Outputs from Brain Informatics
#92
of 103 outputs
Outputs of similar age
#350,820
of 416,880 outputs
Outputs of similar age from Brain Informatics
#2
of 2 outputs
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So far Altmetric has tracked 103 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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