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matlab r2018 b  (MathWorks Inc)


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    MathWorks Inc matlab r2018 b
    Flowchart of the study. A Two age- and education-matched groups of participants (76 patients with OSA and 72 HCs) underwent fMRI scans and clinical scale assessments. B The regions with abnormal long-and short-range FCD were explored in the <t>Matlab</t> platform with a threshold of 75 mm in the OSA and HC groups, respectively. C Distribution of brain areas of FCD differences between the two groups using a two-sample t -test. D Correlation analyses were performed to assess the relationship between FCD values in differential brain regions and clinical characteristics and categorized using the SVM method.
    Matlab R2018 B, 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/matlab r2018 b/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab r2018 b - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Altered Density of Resting-State Long- and Short-Range Functional Connectivity in Patients with Moderate-to-Severe Obstructive Sleep Apnea"

    Article Title: Altered Density of Resting-State Long- and Short-Range Functional Connectivity in Patients with Moderate-to-Severe Obstructive Sleep Apnea

    Journal: Nature and Science of Sleep

    doi: 10.2147/NSS.S483030

    Flowchart of the study. A Two age- and education-matched groups of participants (76 patients with OSA and 72 HCs) underwent fMRI scans and clinical scale assessments. B The regions with abnormal long-and short-range FCD were explored in the Matlab platform with a threshold of 75 mm in the OSA and HC groups, respectively. C Distribution of brain areas of FCD differences between the two groups using a two-sample t -test. D Correlation analyses were performed to assess the relationship between FCD values in differential brain regions and clinical characteristics and categorized using the SVM method.
    Figure Legend Snippet: Flowchart of the study. A Two age- and education-matched groups of participants (76 patients with OSA and 72 HCs) underwent fMRI scans and clinical scale assessments. B The regions with abnormal long-and short-range FCD were explored in the Matlab platform with a threshold of 75 mm in the OSA and HC groups, respectively. C Distribution of brain areas of FCD differences between the two groups using a two-sample t -test. D Correlation analyses were performed to assess the relationship between FCD values in differential brain regions and clinical characteristics and categorized using the SVM method.

    Techniques Used:



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    Image Search Results


    Flowchart of the study. A Two age- and education-matched groups of participants (76 patients with OSA and 72 HCs) underwent fMRI scans and clinical scale assessments. B The regions with abnormal long-and short-range FCD were explored in the Matlab platform with a threshold of 75 mm in the OSA and HC groups, respectively. C Distribution of brain areas of FCD differences between the two groups using a two-sample t -test. D Correlation analyses were performed to assess the relationship between FCD values in differential brain regions and clinical characteristics and categorized using the SVM method.

    Journal: Nature and Science of Sleep

    Article Title: Altered Density of Resting-State Long- and Short-Range Functional Connectivity in Patients with Moderate-to-Severe Obstructive Sleep Apnea

    doi: 10.2147/NSS.S483030

    Figure Lengend Snippet: Flowchart of the study. A Two age- and education-matched groups of participants (76 patients with OSA and 72 HCs) underwent fMRI scans and clinical scale assessments. B The regions with abnormal long-and short-range FCD were explored in the Matlab platform with a threshold of 75 mm in the OSA and HC groups, respectively. C Distribution of brain areas of FCD differences between the two groups using a two-sample t -test. D Correlation analyses were performed to assess the relationship between FCD values in differential brain regions and clinical characteristics and categorized using the SVM method.

    Article Snippet: Body mass index (BMI), age, and years of education served as covariates in a two-sample t -test using the DPABI statistic based on MATLAB R2018 b (MathWorks, Natick, MA, USA), to test for differences in the FCD map on each voxel between patients with OSA and HCs.

    Techniques: