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linear regression and pearson correlation coefficient calculation  (GraphPad Software Inc)

 
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    GraphPad Software Inc linear regression and pearson correlation coefficient calculation
    Linear Regression And Pearson Correlation Coefficient Calculation, supplied by GraphPad Software Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the <t>Pearson’s</t> correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).
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    Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the Pearson’s correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).

    Journal: Scientific Reports

    Article Title: Longitudinal changes in resting state fMRI brain self-similarity of asymptomatic high school American football athletes

    doi: 10.1038/s41598-024-51688-2

    Figure Lengend Snippet: Box-and-whisker plots for each session-wise comparison, derived from 14 non-collision sports athletes (NCA, left) and 42 football athletes (FBA, right), demonstrate that self-similarity ( I self ) distributions for FBA computed at Pre-In2 were significantly different from those observed for Pre-In1 and Pre-Post , but not from the NCA I self distribution. The I self values for each scan session pair (as indicated for each column) was computed as the Pearson’s correlation between an individual’s functional connectomes for the given sessions, with each individual’s I self plotted as a gray circle. For FBA, colored lines connect datapoints representing the same participant in different session comparisons; solid red lines indicate decreasing I self , and dashed blue lines indicate increasing I self . Asterisks indicate a statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test).

    Article Snippet: Symmetric 248 × 248 functional connectivity matrices were computed for each scan session, where the entry at location (i, j) is computed as the Pearson’s linear correlation coefficient (MATLAB corr ) between averaged fMRI time series of ROIs i and j .

    Techniques: Whisker Assay, Comparison, Derivative Assay, Functional Assay