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Space distribution of EEG responses to hanoi-moving visual and auditory stimulation with Fourier Independent Component Analysis

Overview of attention for article published in Frontiers in Human Neuroscience, July 2015
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Title
Space distribution of EEG responses to hanoi-moving visual and auditory stimulation with Fourier Independent Component Analysis
Published in
Frontiers in Human Neuroscience, July 2015
DOI 10.3389/fnhum.2015.00405
Pubmed ID
Authors

Shijun Li, Yi Wang, Guangyu Bin, Xiaoshan Huang, Dan Zhang, Gang Liu, Yanwei Lv, Xiaorong Gao, Shangkai Gao, Lin Ma

Abstract

The relationship between EEG source signals and action-related visual and auditory stimulation is still not well-understood. The objective of this study was to identify EEG source signals and their associated action-related visual and auditory responses, especially independent components of EEG. A hand-moving-Hanoi video paradigm was used to study neural correlates of the action-related visual and auditory information processing determined by mu rhythm (8-12 Hz) in 16 healthy young subjects. Independent component analysis (ICA) was applied to identify separate EEG sources, and further computed in the frequency domain by applying-Fourier transform ICA (F-ICA). F-ICA found more sensory stimuli-related independent components located within the sensorimotor region than ICA did. The total number of independent components of interest from F-ICA was 768, twice that of 384 from traditional time-domain ICA (p < 0.05). In the sensory-motor region C3 or C4, the total source signals intensity distribution values from all 14 subjects was 23.00 (Mean 1.64 ± 1.17) from F-ICA; which was more than the 10.5 (Mean 0.75 ± 0.62) from traditional time-domain ICA (p < 0.05). Furthermore, the intensity distribution of source signals in the C3 or C4 region was statistically significant between the ICA and F-ICA groups (strong 50 vs. 92%; weak 50 vs. 8% retrospectively; p < 0.05). In the Pz region, the total source signal intensity distribution from F-ICA was 12.50 (Mean 0.89 ± 0.53); although exceeding that of traditional time-domain ICA 8.20 (Mean 0.59 ± 0.48), the difference was not statistically significant (p > 0.05). These results support the hypothesis that mu rhythm was sensitive to detection of the cognitive expression, which could be reflected by the function in the parietal lobe sensory-motor region. The results of this study could potentially be applied into early diagnosis for those with visual and hearing impairments in the near future.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 22%
Researcher 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 9%
Student > Doctoral Student 1 4%
Other 1 4%
Unknown 8 35%
Readers by discipline Count As %
Psychology 3 13%
Neuroscience 3 13%
Nursing and Health Professions 2 9%
Medicine and Dentistry 2 9%
Physics and Astronomy 1 4%
Other 3 13%
Unknown 9 39%
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 21 July 2015.
All research outputs
#20,283,046
of 22,817,213 outputs
Outputs from Frontiers in Human Neuroscience
#6,536
of 7,148 outputs
Outputs of similar age
#220,614
of 264,073 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#132
of 150 outputs
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