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Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study

Overview of attention for article published in Frontiers in Behavioral Neuroscience, October 2017
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Title
Localized Fluctuant Oscillatory Activity by Working Memory Load: A Simultaneous EEG-fMRI Study
Published in
Frontiers in Behavioral Neuroscience, October 2017
DOI 10.3389/fnbeh.2017.00215
Pubmed ID
Authors

Xiaojie Zhao, Xiaoyun Li, Li Yao

Abstract

Working memory (WM) is a resource-limited memory system for temporary storage and processing of brain information during the execution of cognitive tasks. Increased WM load will increase the amount and difficulty of memory information. Several studies have used electroencephalography (EEG) or functional magnetic resonance imaging (fMRI) to explore load-dependent cognition processing according to the time courses of electrophysiological activity or the spatial pattern of blood oxygen metabolic activity. However, the relationships between these two activities and the underlying neural mechanism are still unclear. In this study, using simultaneously collected EEG and fMRI data under an n-back verbal WM task, we modeled the spectral perturbation of EEG oscillation and fMRI activation through joint independent component analysis (JICA). Multi-channel oscillation features were also introduced into the JICA model for further analysis. The results showed that time-locked activity of theta and beta were modulated by memory load in the early stimuli evaluation stage, corresponding to the enhanced activation in the frontal and parietal lobe, which were involved in stimulus discrimination, information encoding and delay-period activity. In the late response selection stage, alpha and gamma activity changes dependent on the load correspond to enhanced activation in the areas of frontal, temporal and parietal lobes, which played important roles in attention, information extraction and memory retention. These findings suggest that the increases in memory load not only affect the intensity and time course of the EEG activities, but also lead to the enhanced activation of brain regions which plays different roles during different time periods of cognitive process of WM.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 26%
Student > Bachelor 7 18%
Student > Ph. D. Student 6 15%
Student > Doctoral Student 4 10%
Professor 1 3%
Other 4 10%
Unknown 7 18%
Readers by discipline Count As %
Psychology 13 33%
Neuroscience 9 23%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Earth and Planetary Sciences 1 3%
Other 2 5%
Unknown 12 31%
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 11 November 2017.
All research outputs
#17,918,662
of 23,006,268 outputs
Outputs from Frontiers in Behavioral Neuroscience
#2,428
of 3,200 outputs
Outputs of similar age
#235,348
of 328,917 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#63
of 74 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 74 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.