wilcoxon rank sum test ranksum in  (MathWorks Inc)

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: The three FBA I self distributions ( Pre-In1, Pre-In2, and Pre-Post ) were each tested for significant difference against the NCA Test–Retest I self distribution using the Wilcoxon rank sum test (MATLAB ranksum ) with FDR correction for multiple (n = 3) comparisons.

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

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: Network-specific analysis of I self measures by population and session pairing indicate that football athletes (FBA) exhibit several statistically significant alterations across assessment sessions. (Left) Boxplots of I self distributions for football athletes (FBA; Pre-In1, Pre-In2 , and Pre-Post ) and non-collision sports athletes (NCA; Test–Retest ) within each of the seven Yeo functional networks . Asterisks indicate statistical significance at the p FDR < 0.05 level (Wilcoxon signed rank test for comparisons within FBA; Wilcoxon rank sum test for comparisons between NCA and FBA). (Right) Three-plane depiction of the primary gray matter extent of each of the Yeo networks. Green crosshairs indicate the location of brain slices shown for each network. Imaging directions are labeled on the first network (P = posterior, A = anterior, S = superior, I = inferior, R = right, L = left).

Article Snippet: The three FBA I self distributions ( Pre-In1, Pre-In2, and Pre-Post ) were each tested for significant difference against the NCA Test–Retest I self distribution using the Wilcoxon rank sum test (MATLAB ranksum ) with FDR correction for multiple (n = 3) comparisons.

Techniques: Functional Assay, Imaging, Labeling

Journal: bioRxiv

Article Title: Local interneurons in the murine visual thalamus have diverse receptive fields and can provide feature selective inhibition to relay cells

doi: 10.1101/2023.08.10.549394

Figure Lengend Snippet: (A) 1σ contours of 2D Gaussian fits to the receptive fields of interneurons (green ellipses) and relay cells (black ellipses) aligned to the center of the stimulus grid (interneurons, n = 27; relay cells, n = 205). Fits were made to the full extent of each (sub)region for On, Off, On-Off cells or to the centers for center-surround cells. (B) Leftmost pair of box and violin plots show that the distributions of receptive field sizes for interneurons (green) and relay cells (black) are statistically indistinguishable; Wilcoxon rank-sum test and two-sample Kolmogorov-Smirnov test (p>0.05). For box plots, horizontal lines indicate the mean, circles denote the median, and vertical lines the SD; for violin plots, horizontal lines are individual values. Remaining plots show distributions of receptive field sizes for individual classes of cell: On, Off, On-Off, SBC, and Adaptive (see for an illustration of adaptive cells).

Article Snippet: For non-parametric datasets, we used the Wilcoxon rank sum test (MATLAB function ‘ranksum’) in addition to the two-sample Kolmogorov-Smirnov test (MATLAB function ‘kstest2’).

Techniques: