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glm denoise toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc glm denoise toolbox
    <t>General</t> <t>linear</t> <t>modelling</t> of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).
    Glm Denoise Toolbox, 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/glm denoise toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    glm denoise toolbox - by Bioz Stars, 2026-04
    90/100 stars

    Images

    1) Product Images from "Central insulin modulates food valuation via mesolimbic pathways"

    Article Title: Central insulin modulates food valuation via mesolimbic pathways

    Journal: Nature Communications

    doi: 10.1038/ncomms16052

    General linear modelling of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).
    Figure Legend Snippet: General linear modelling of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).

    Techniques Used: Comparison



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    MathWorks Inc glm denoise toolbox
    <t>General</t> <t>linear</t> <t>modelling</t> of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).
    Glm Denoise Toolbox, 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/glm denoise toolbox/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    glm denoise toolbox - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

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    MathWorks Inc general linear model (glm) denoise toolbox for
    <t>General</t> <t>linear</t> <t>modelling</t> of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).
    General Linear Model (Glm) Denoise Toolbox For, 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/general linear model (glm) denoise toolbox for/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    general linear model (glm) denoise toolbox for - by Bioz Stars, 2026-04
    90/100 stars
      Buy from Supplier

    Image Search Results


    General linear modelling of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).

    Journal: Nature Communications

    Article Title: Central insulin modulates food valuation via mesolimbic pathways

    doi: 10.1038/ncomms16052

    Figure Lengend Snippet: General linear modelling of value signals from the placebo and the insulin session revealed group by session interactions in the bilateral NAc ( a ) and the left VTA ( b ). In both regions, food value signals were decreased in the insulin session only in NIR, while signals were increased under INI in IR. Bar plots show group means and s.e.m. of mean contrast estimates extracted from ROIs from the comparison NIR PL>IN > IR PL>IN . Displayed P -values are FWE corrected for bilateral masks. Activations are overlaid on the mean structural image of all participants (display threshold P <0.005 uncorrected).

    Article Snippet: In the next step, we used the GLM denoise toolbox for Matlab to improve signal-to-noise ratio in our data.

    Techniques: Comparison