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Non-uniformity of cell density and networks in the monkey brain.

Shimono M - Sci Rep (2013)

Bottom Line: Wide comparisons between 27 graph theoretical measures and cell densities revealed that only participation coefficients (PCs) significantly correlated with cell densities.Interestingly, PCs did not show a significant correlation with spatial coordinates.Taken together, these results suggested the presence of a combinatorial effect of modular architectures in the network organization related to the non-uniformity of cell densities additional to the spatially monotonic change.

View Article: PubMed Central - PubMed

Affiliation: Dept. of Physics, Indiana University, Swain Hall West, 727 E. 3rd St., Bloomington, IN, 47405-7105, U.S.A.

ABSTRACT
The brain is a very complex structure. Over the past several decades, many studies have aimed to understand how various non-uniform variables relate to each other. The current study compared the whole-brain network organization and global spatial distribution of cell densities in the monkey brain. Wide comparisons between 27 graph theoretical measures and cell densities revealed that only participation coefficients (PCs) significantly correlated with cell densities. Interestingly, PCs did not show a significant correlation with spatial coordinates. Furthermore, the significance of the correlation between cell densities and spatial coordinates disappeared only with the removal of the visual module, while the significance of the correlation between cell densities and PCs disappeared with the removal of any one module. Taken together, these results suggested the presence of a combinatorial effect of modular architectures in the network organization related to the non-uniformity of cell densities additional to the spatially monotonic change.

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Selective removal of each brain community.Figure A shows the scheme of the three comparisons depicted in Figures B–D. Figures B–D correspond to the comparisons among the three variables: the neuron-per-nonneuron ratios, anterior–posterior coordinate and participation coefficient, respectively. In each pair of panels in Figures B–D, the left panels indicate the correlations and the right panels represent the p values of the t-tests. The blue bars are the correlations and p values after the removal of the individual brain communities, and the original correlations and p values are shown as red bars at the top of each figure. The dotted lines in the right figures indicate the threshold of significance, which is the same p value in Figure 3.
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f5: Selective removal of each brain community.Figure A shows the scheme of the three comparisons depicted in Figures B–D. Figures B–D correspond to the comparisons among the three variables: the neuron-per-nonneuron ratios, anterior–posterior coordinate and participation coefficient, respectively. In each pair of panels in Figures B–D, the left panels indicate the correlations and the right panels represent the p values of the t-tests. The blue bars are the correlations and p values after the removal of the individual brain communities, and the original correlations and p values are shown as red bars at the top of each figure. The dotted lines in the right figures indicate the threshold of significance, which is the same p value in Figure 3.

Mentions: What type of effect does each community have on the previously observed correlation significance? To quantify these relative contributions, I evaluated the correlations and p values between cell neuron-per-nonneuron ratio and participation coefficient after removing each community (Figure 5). Three correlations were obtained from three pairs of variables selected from the cell density, spatial coordinate, and network variable. The cell density, spatial coordinate, and network variable are represented by the neuron-per-nonneuron ratio, anterior–posterior coordinate, and participation ratio, respectively (Figure 5-A).


Non-uniformity of cell density and networks in the monkey brain.

Shimono M - Sci Rep (2013)

Selective removal of each brain community.Figure A shows the scheme of the three comparisons depicted in Figures B–D. Figures B–D correspond to the comparisons among the three variables: the neuron-per-nonneuron ratios, anterior–posterior coordinate and participation coefficient, respectively. In each pair of panels in Figures B–D, the left panels indicate the correlations and the right panels represent the p values of the t-tests. The blue bars are the correlations and p values after the removal of the individual brain communities, and the original correlations and p values are shown as red bars at the top of each figure. The dotted lines in the right figures indicate the threshold of significance, which is the same p value in Figure 3.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3756338&req=5

f5: Selective removal of each brain community.Figure A shows the scheme of the three comparisons depicted in Figures B–D. Figures B–D correspond to the comparisons among the three variables: the neuron-per-nonneuron ratios, anterior–posterior coordinate and participation coefficient, respectively. In each pair of panels in Figures B–D, the left panels indicate the correlations and the right panels represent the p values of the t-tests. The blue bars are the correlations and p values after the removal of the individual brain communities, and the original correlations and p values are shown as red bars at the top of each figure. The dotted lines in the right figures indicate the threshold of significance, which is the same p value in Figure 3.
Mentions: What type of effect does each community have on the previously observed correlation significance? To quantify these relative contributions, I evaluated the correlations and p values between cell neuron-per-nonneuron ratio and participation coefficient after removing each community (Figure 5). Three correlations were obtained from three pairs of variables selected from the cell density, spatial coordinate, and network variable. The cell density, spatial coordinate, and network variable are represented by the neuron-per-nonneuron ratio, anterior–posterior coordinate, and participation ratio, respectively (Figure 5-A).

Bottom Line: Wide comparisons between 27 graph theoretical measures and cell densities revealed that only participation coefficients (PCs) significantly correlated with cell densities.Interestingly, PCs did not show a significant correlation with spatial coordinates.Taken together, these results suggested the presence of a combinatorial effect of modular architectures in the network organization related to the non-uniformity of cell densities additional to the spatially monotonic change.

View Article: PubMed Central - PubMed

Affiliation: Dept. of Physics, Indiana University, Swain Hall West, 727 E. 3rd St., Bloomington, IN, 47405-7105, U.S.A.

ABSTRACT
The brain is a very complex structure. Over the past several decades, many studies have aimed to understand how various non-uniform variables relate to each other. The current study compared the whole-brain network organization and global spatial distribution of cell densities in the monkey brain. Wide comparisons between 27 graph theoretical measures and cell densities revealed that only participation coefficients (PCs) significantly correlated with cell densities. Interestingly, PCs did not show a significant correlation with spatial coordinates. Furthermore, the significance of the correlation between cell densities and spatial coordinates disappeared only with the removal of the visual module, while the significance of the correlation between cell densities and PCs disappeared with the removal of any one module. Taken together, these results suggested the presence of a combinatorial effect of modular architectures in the network organization related to the non-uniformity of cell densities additional to the spatially monotonic change.

Show MeSH