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pearson cross-correlation matrix  (MathWorks Inc)


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    MathWorks Inc pearson cross-correlation matrix
    Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise <t>Pearson</t> cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).
    Pearson Cross Correlation Matrix, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/pearson cross-correlation matrix/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pearson cross-correlation matrix - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues"

    Article Title: Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues

    Journal: Scientific Reports

    doi: 10.1038/s41598-021-01616-5

    Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise Pearson cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).
    Figure Legend Snippet: Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise Pearson cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).

    Techniques Used: Activity Assay, Functional Assay, In Vitro



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    pearson cross-correlation matrix  (MathWorks Inc)
    90
    MathWorks Inc pearson cross-correlation matrix
    Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise <t>Pearson</t> cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).
    Pearson Cross Correlation Matrix, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/pearson cross-correlation matrix/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    pearson cross-correlation matrix - by Bioz Stars, 2026-03
    90/100 stars
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    matrix of pearson cross-correlations of ssq questions  (MathWorks Inc)
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    MathWorks Inc matrix of pearson cross-correlations of ssq questions
    Distributions of the responses to each possible point on the <t>SSQ</t> scale across <t>all</t> <t>1220</t> participants times 48 questions. The three groups are for unaided listeners (n = 386), unilaterally aided (n = 627), and bilaterally aided (n = 207). Any non-integer (or half-integer) responses have been rounded to the nearest integer (or half integer).
    Matrix Of Pearson Cross Correlations Of Ssq Questions, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matrix of pearson cross-correlations of ssq questions/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matrix of pearson cross-correlations of ssq questions - by Bioz Stars, 2026-03
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    Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise Pearson cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).

    Journal: Scientific Reports

    Article Title: Lipopolysaccharide-induced neuroinflammation disrupts functional connectivity and community structure in primary cortical microtissues

    doi: 10.1038/s41598-021-01616-5

    Figure Lengend Snippet: Spontaneous calcium activity reveals significant functional remodeling over three weeks of development in vitro. ( A ) Average correlation coefficients of microtissues significantly decrease ( p = 0.0026) from week 2 to week 3, followed by a significant increase ( p = 0.0151) from week 3 to week 4. ( B ) Clustering coefficients follow the same trend as the correlation, with a significant decrease ( p = 0.0032) of average clustering coefficient in week 3 and a subsequent significant increase ( p = 0.016) in week 4. ( C ) Path length between nodes followed the inverse trend, with a significant increase ( p = 0.0054) in average path length in week 3 and a significant decrease ( p = 0.0263) in week 4. ( D ) Whole-tissue firing rate showed no significant differences (week2-week3, p = 0.5851; week 3-week 4, p = 0.4209) over 3 weeks of development. ( E ) Whole-tissue calcium traces recorded in a single example microtissue from week 2, week 3, and week 4 show changes in firing patterns over time. ( F ) Correlograms from pairwise Pearson cross-correlations coefficients between nodes from recordings shown in ( E ), exhibit progression of node connectivity across weeks. ( G ) Correlational connectomes overlay the cross-correlation values above 0.5 onto the physical node positions. Line color connecting nodes correlates to the correlation coefficient value. ( H ) Plots of the correlation coefficients versus the physical distance between nodes, shows no preference for strong local connections over cross-tissue connections. Significance to compare multiple weeks was determined with a one-way ANOVA and post-hoc Tukey test with p < 0.05 (* p < 0.05, ** p < 0.01).

    Article Snippet: MATLAB code was used to create a Pearson cross-correlation matrix from the single-cell calcium transients extracted from the FluoroSNNAP output (CalciumSignalProcessing: https://github.com/neuromotion/CalciumSignalProcessing ).

    Techniques: Activity Assay, Functional Assay, In Vitro

    Distributions of the responses to each possible point on the SSQ scale across all 1220 participants times 48 questions. The three groups are for unaided listeners (n = 386), unilaterally aided (n = 627), and bilaterally aided (n = 207). Any non-integer (or half-integer) responses have been rounded to the nearest integer (or half integer).

    Journal: International Journal of Audiology

    Article Title: A factor analysis of the SSQ (Speech, Spatial, and Qualities of Hearing Scale)

    doi: 10.3109/14992027.2013.824115

    Figure Lengend Snippet: Distributions of the responses to each possible point on the SSQ scale across all 1220 participants times 48 questions. The three groups are for unaided listeners (n = 386), unilaterally aided (n = 627), and bilaterally aided (n = 207). Any non-integer (or half-integer) responses have been rounded to the nearest integer (or half integer).

    Article Snippet: The input was the 48 × 48 matrix of Pearson cross-correlations of SSQ questions calculated in Matlab, rather than the 1220 × 48 matrix of actual SSQ responses .

    Techniques:

    Mean SSQ score vs. better-ear hearing loss. The listeners are grouped by aiding configuration (top panel) or age (bottom panel). The score is the average response across the 48 SSQ questions considered here. In the top panel the error bars in the top-right corner illustrate the minimum, mean, and maximum standard deviations of the data points. See for the calculation of hearing loss.

    Journal: International Journal of Audiology

    Article Title: A factor analysis of the SSQ (Speech, Spatial, and Qualities of Hearing Scale)

    doi: 10.3109/14992027.2013.824115

    Figure Lengend Snippet: Mean SSQ score vs. better-ear hearing loss. The listeners are grouped by aiding configuration (top panel) or age (bottom panel). The score is the average response across the 48 SSQ questions considered here. In the top panel the error bars in the top-right corner illustrate the minimum, mean, and maximum standard deviations of the data points. See for the calculation of hearing loss.

    Article Snippet: The input was the 48 × 48 matrix of Pearson cross-correlations of SSQ questions calculated in Matlab, rather than the 1220 × 48 matrix of actual SSQ responses .

    Techniques: