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

Li S, Wang Y, Bin G, Huang X, Zhang D, Liu G, Lv Y, Gao X, Gao S, Ma L - Front Hum Neurosci (2015)

Bottom Line: F-ICA found more sensory stimuli-related independent components located within the sensorimotor region than ICA did.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Medical Instruments, PLA General Hospital Beijing, China.

ABSTRACT

Background and 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.

No MeSH data available.


Related in: MedlinePlus

The spatial distributions of the interested source signals from Fourier-ICA analysis. Results were from 14 of the 16 subjects, and subjects S 11 and S 15 were excluded. No source components were found in the subjects S10 and S12. Signal space distribution was denoted by selected color circles and color intensity (–1 to 1) on the map. Blue represents –1, Red represents 1.
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Figure 7: The spatial distributions of the interested source signals from Fourier-ICA analysis. Results were from 14 of the 16 subjects, and subjects S 11 and S 15 were excluded. No source components were found in the subjects S10 and S12. Signal space distribution was denoted by selected color circles and color intensity (–1 to 1) on the map. Blue represents –1, Red represents 1.

Mentions: Number of source signals was defined as the number of electrodes 32 times the number of Independent Components (#IC; Figures 4, 7) found for each patient. The number of source signals from all 14 patients was added to obtain the total source signals. ID: Spatial distribution of source signals is denoted by color circles and color intensity on the map (Figures 4, 7). Each circle was given an intensity distribution (ID) value from 0 to 1 based on the calculation described in “Methods.” The above ID value was the sum of the values in parietal-occipital area (Pz) and sensorimotor area (C3 and C4), respectively. Sum of ID value: 0, no signal; < 1.0, weak signals; ≥1.0, strong source signals found. Avg = Mean ± SD.


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

Li S, Wang Y, Bin G, Huang X, Zhang D, Liu G, Lv Y, Gao X, Gao S, Ma L - Front Hum Neurosci (2015)

The spatial distributions of the interested source signals from Fourier-ICA analysis. Results were from 14 of the 16 subjects, and subjects S 11 and S 15 were excluded. No source components were found in the subjects S10 and S12. Signal space distribution was denoted by selected color circles and color intensity (–1 to 1) on the map. Blue represents –1, Red represents 1.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4508523&req=5

Figure 7: The spatial distributions of the interested source signals from Fourier-ICA analysis. Results were from 14 of the 16 subjects, and subjects S 11 and S 15 were excluded. No source components were found in the subjects S10 and S12. Signal space distribution was denoted by selected color circles and color intensity (–1 to 1) on the map. Blue represents –1, Red represents 1.
Mentions: Number of source signals was defined as the number of electrodes 32 times the number of Independent Components (#IC; Figures 4, 7) found for each patient. The number of source signals from all 14 patients was added to obtain the total source signals. ID: Spatial distribution of source signals is denoted by color circles and color intensity on the map (Figures 4, 7). Each circle was given an intensity distribution (ID) value from 0 to 1 based on the calculation described in “Methods.” The above ID value was the sum of the values in parietal-occipital area (Pz) and sensorimotor area (C3 and C4), respectively. Sum of ID value: 0, no signal; < 1.0, weak signals; ≥1.0, strong source signals found. Avg = Mean ± SD.

Bottom Line: F-ICA found more sensory stimuli-related independent components located within the sensorimotor region than ICA did.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.

View Article: PubMed Central - PubMed

Affiliation: Department of Medical Instruments, PLA General Hospital Beijing, China.

ABSTRACT

Background and 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.

No MeSH data available.


Related in: MedlinePlus