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open source princeton mvpa toolbox  (MathWorks Inc)


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    MathWorks Inc open source princeton mvpa toolbox
    Open Source Princeton Mvpa Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 282 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/princeton+mvpa+toolbox/Partial+Differential+Equation+Toolbox/pmc11737287-95-7-22
    Average 96 stars, based on 282 article reviews
    open source princeton mvpa toolbox - by Bioz Stars, 2026-09
    96/100 stars

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    other:

    Article Title: BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
    Article Snippet: Some of these packages require paid MATLAB licenses (e.g. Princeton MVPA Toolbox, The Decoding Toolbox [17], and CoSMoMVPA [18]) and others are completely free (e.g. Nilearn [19]and PyMVPA [20,21]).

    Article Title: BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
    Article Snippet: For example, the Princeton MVPA toolbox (MATLAB), The Decoding Toolbox (MATLAB), pyMVPA (Python), are all omitted from the manuscript.

    Article Title: Partly recovery and compensation in anterior cingulate cortex after SSRI treatment-evidence from multi-voxel pattern analysis over resting state fMRI in depression.
    Article Snippet: Background: Anterior cingulate cortex (ACC) plays an essential role in the pathophysiology of major depressive disorder (MDD) and its treatment.. However, it’s still unclear whether the effects of disease and antidepressant treatment on ACC perform diversely in neural mechanisms.. Methods: Fifty-nine MDD patients completed resting-state fMRI scanning twice at baseline and after 12-week selective serotonin reuptake inhibitor (SSRI) treatment, respectively in acute state and remission state.

    Article Title: BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
    Article Snippet: We are hopeful that this will help increase reproducibility of results more broadly: when tutorial users analyze their own data, they will have already become familiar with the tools necessary to share their code and data, leading to a cycle of improved data sharing and code validation.” Lastly, we agree that most neuroimaging software is open source these days, however, some of packages require paid licenses (e.g. Princeton MVPA Toolbox, through Matlab).

    Article Title: BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
    Article Snippet: Lastly, we agree that most neuroimaging software is open source these days, however, some of packages require paid licenses (e.g. Princeton MVPA Toolbox, through Matlab).

    Article Title: Dissociating refreshing and elaboration and their impacts on memory.
    Article Snippet: MVPA was performed in MATLAB using the Princeton MVPA toolbox (http://code.google.com/p/princeton-mvpa-toolbox).

    Article Title: BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis
    Article Snippet: Some of these packages require paid MATLAB licenses (e.g. Princeton MVPA Toolbox, The Decoding Toolbox [17], and CoSMoMVPA [18]) and others are completely free (e.g. Nilearn [19] and PyMVPA [20,21]).

    Functional Assay:

    Article Title: Novel approaches to functional lateralization: Assessing information in activity patterns across hemispheres and more accurately identifying structural homologues.
    Article Snippet: .. The unsmoothed functional data was imported into MATLAB using the Princeton MVPA toolbox (Detre, et al., 2006), which allows easy conversion between three-dimensional AFNI files and two-dimensional matrices in the MATLAB workspace. .. Once imported in this way, the data were analyzed using MATLAB’s ‘fitcnb’ classifier function within a searchlight analysis described below.



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    <t> Multivariate Pattern Analysis </t> Correlates of Smoking Cue Attentional Bias
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    Image Search Results


    Multivariate Pattern Analysis Correlates of Smoking Cue Attentional Bias

    Journal: Pharmacology, biochemistry, and behavior

    Article Title: Multivariate Pattern Analysis of the Neural Correlates of Smoking Cue Attentional Bias

    doi: 10.1016/j.pbb.2019.03.001

    Figure Lengend Snippet: Multivariate Pattern Analysis Correlates of Smoking Cue Attentional Bias

    Article Snippet: Multivariate pattern analysis of fMRI data was performed with the Princeton MVPA toolbox for Matlab in MATLAB13a.

    Techniques:

    Regions for which multivariate pattern analysis accuracy was significantly associated with reaction time differences between incongruent and congruent trials, A) for all subjects, B) including scatter plots for visualization of representative relationships, and C) for the interaction with smoking group, D) including scatter plots for visualization of representative relationships, are displayed on left and right cerebral hemispheres. Accuracy scores represent residuals of cluster-average accuracy, adjusting for participant age and sex, and are therefore centered on zero. Yellow color represents positive relationships. L, left; R, right; AI, anterior insula; Fus, fusiform gyrus; IFG, inferior frontal gyrus; MFG, middle frontal gyrus; PI, posterior insula; postCG, postcentral gyrus; rACC, rostral anterior cingulate cortex; postCG, postcentral gyrus.

    Journal: Pharmacology, biochemistry, and behavior

    Article Title: Multivariate Pattern Analysis of the Neural Correlates of Smoking Cue Attentional Bias

    doi: 10.1016/j.pbb.2019.03.001

    Figure Lengend Snippet: Regions for which multivariate pattern analysis accuracy was significantly associated with reaction time differences between incongruent and congruent trials, A) for all subjects, B) including scatter plots for visualization of representative relationships, and C) for the interaction with smoking group, D) including scatter plots for visualization of representative relationships, are displayed on left and right cerebral hemispheres. Accuracy scores represent residuals of cluster-average accuracy, adjusting for participant age and sex, and are therefore centered on zero. Yellow color represents positive relationships. L, left; R, right; AI, anterior insula; Fus, fusiform gyrus; IFG, inferior frontal gyrus; MFG, middle frontal gyrus; PI, posterior insula; postCG, postcentral gyrus; rACC, rostral anterior cingulate cortex; postCG, postcentral gyrus.

    Article Snippet: Multivariate pattern analysis of fMRI data was performed with the Princeton MVPA toolbox for Matlab in MATLAB13a.

    Techniques:

    Regions for which multivariate pattern analysis accuracy was significantly associated with reaction time differences between neutral and congruent trials, A) for all subjects, B) including scatter plots for visualization of representative relationships, and C) for the interaction with smoking group, D) including scatter plots for visualization of representative relationships, are displayed on left and right cerebral hemispheres. Accuracy scores represent residuals of cluster-average accuracy, adjusting for participant age and sex, and are therefore centered on zero. Yellow color represents positive relationships. Blue color represents negative relationships. L, left; R, right; IFG, inferior frontal gyrus; Ins, insula; MCC, mid-cingulate cortex; MTG, middle temporal gyrus; OFC, orbitofrontal cortex; SPL, superior parietal lobule.

    Journal: Pharmacology, biochemistry, and behavior

    Article Title: Multivariate Pattern Analysis of the Neural Correlates of Smoking Cue Attentional Bias

    doi: 10.1016/j.pbb.2019.03.001

    Figure Lengend Snippet: Regions for which multivariate pattern analysis accuracy was significantly associated with reaction time differences between neutral and congruent trials, A) for all subjects, B) including scatter plots for visualization of representative relationships, and C) for the interaction with smoking group, D) including scatter plots for visualization of representative relationships, are displayed on left and right cerebral hemispheres. Accuracy scores represent residuals of cluster-average accuracy, adjusting for participant age and sex, and are therefore centered on zero. Yellow color represents positive relationships. Blue color represents negative relationships. L, left; R, right; IFG, inferior frontal gyrus; Ins, insula; MCC, mid-cingulate cortex; MTG, middle temporal gyrus; OFC, orbitofrontal cortex; SPL, superior parietal lobule.

    Article Snippet: Multivariate pattern analysis of fMRI data was performed with the Princeton MVPA toolbox for Matlab in MATLAB13a.

    Techniques:

    Regions for which multivariate pattern analysis accuracy was significantly associated with reaction time differences between incongruent and neutral trials, A) for all subjects, B) including scatter plots for visualization of representative relationships, and C) for the interaction with smoking group, D) including scatter plots for visualization of representative relationships, are displayed on left and right cerebral hemispheres. Accuracy scores represent residuals of cluster-average accuracy, adjusting for participant age and sex, and are therefore centered on zero. Yellow color represents positive relationships. Blue color represents negative relationships. L, left; R, right; MFG, middle frontal gyrus; MTG, middle temporal gyrus; postCG, postcentral gyrus; TP, temporal pole; FEF, frontal eye field.

    Journal: Pharmacology, biochemistry, and behavior

    Article Title: Multivariate Pattern Analysis of the Neural Correlates of Smoking Cue Attentional Bias

    doi: 10.1016/j.pbb.2019.03.001

    Figure Lengend Snippet: Regions for which multivariate pattern analysis accuracy was significantly associated with reaction time differences between incongruent and neutral trials, A) for all subjects, B) including scatter plots for visualization of representative relationships, and C) for the interaction with smoking group, D) including scatter plots for visualization of representative relationships, are displayed on left and right cerebral hemispheres. Accuracy scores represent residuals of cluster-average accuracy, adjusting for participant age and sex, and are therefore centered on zero. Yellow color represents positive relationships. Blue color represents negative relationships. L, left; R, right; MFG, middle frontal gyrus; MTG, middle temporal gyrus; postCG, postcentral gyrus; TP, temporal pole; FEF, frontal eye field.

    Article Snippet: Multivariate pattern analysis of fMRI data was performed with the Princeton MVPA toolbox for Matlab in MATLAB13a.

    Techniques: