title: Space distribution of EEG responses to hanoi-moving visual and auditory stimulation with Fourier Independent Component Analysis.
abstract: OBJECTIVE
  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.
  
  
  METHODS
  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).
  
  
  RESULTS
  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).
  
  
  CONCLUSIONS
  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.
authors.affiliation: Department of Medical Instruments, PLA General Hospital Beijing, China.
authors.forename: Shijun
authors.initials: S
authors.lastname: Li
authors.affiliation: Department of Stomatology, PLA General Hospital Beijing, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University Beijing, China.
authors.forename: Guangyu
authors.initials: G
authors.lastname: Bin
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University Beijing, China.
authors.forename: Xiaoshan
authors.initials: X
authors.lastname: Huang
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University Beijing, China.
authors.forename: Dan
authors.initials: D
authors.lastname: Zhang
authors.affiliation: Department of Radiology, PLA General Hospital Beijing, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Liu
authors.affiliation: Clinical Epidemiology and Biostatistics Research Office, Beijing Research Institute of Traumatology and Orthopaedics Beijing, China.
authors.forename: Yanwei
authors.initials: Y
authors.lastname: Lv
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University Beijing, China.
authors.forename: Xiaorong
authors.initials: X
authors.lastname: Gao
authors.affiliation: Department of Biomedical Engineering, School of Medicine, Tsinghua University Beijing, China.
authors.forename: Shangkai
authors.initials: S
authors.lastname: Gao
authors.affiliation: Department of Radiology, PLA General Hospital Beijing, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Ma
keywords: Fourier-Independent Component Analysis; action-related visual and auditory stimulation; electroencephalography; sensory-motor area; source signals