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statistical parametric mapping (spm) based on the spm1d package in matlab r2022a  (MathWorks Inc)


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    MathWorks Inc statistical parametric mapping (spm) based on the spm1d package in matlab r2022a
    Statistical Parametric Mapping (Spm) Based On The Spm1d Package In Matlab R2022a, 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/statistical parametric mapping (spm) based on the spm1d package in matlab r2022a/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    statistical parametric mapping (spm) based on the spm1d package in matlab r2022a - by Bioz Stars, 2026-05
    90/100 stars

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    Summary of differences in data flow between CBRAIN and the <t>native</t> <t>MATLAB</t> implementation. (A) Data flow in CBRAIN; (B) Data flow using native MATLAB implementation. Acronyms: SFTP, Secure File Transfer Protocol (e.g., FileZilla); CBCSV, CBRAIN File List (a comma-separated value file that can be auto-generated).
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    Summary of differences in data flow between CBRAIN and the native MATLAB implementation. (A) Data flow in CBRAIN; (B) Data flow using native MATLAB implementation. Acronyms: SFTP, Secure File Transfer Protocol (e.g., FileZilla); CBCSV, CBRAIN File List (a comma-separated value file that can be auto-generated).

    Journal: Frontiers in Neuroinformatics

    Article Title: Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN

    doi: 10.3389/fninf.2023.1251023

    Figure Lengend Snippet: Summary of differences in data flow between CBRAIN and the native MATLAB implementation. (A) Data flow in CBRAIN; (B) Data flow using native MATLAB implementation. Acronyms: SFTP, Secure File Transfer Protocol (e.g., FileZilla); CBCSV, CBRAIN File List (a comma-separated value file that can be auto-generated).

    Article Snippet: In the default implementation of PhysIO, the user is encouraged to do this as a separate step in the Statistical Parametric Mapping (SPM) package in MATLAB ( ; ) and integrate the physiological noise model with any task-based regressors in a unified GLM that includes pre-whitening and high-pass filtering.

    Techniques: Generated

    Benchmarking and feature comparison for 62 fMRI runs processed by PhysIO on CBRAIN and with a local  MATLAB  installation.

    Journal: Frontiers in Neuroinformatics

    Article Title: Web-based processing of physiological noise in fMRI: addition of the PhysIO toolbox to CBRAIN

    doi: 10.3389/fninf.2023.1251023

    Figure Lengend Snippet: Benchmarking and feature comparison for 62 fMRI runs processed by PhysIO on CBRAIN and with a local MATLAB installation.

    Article Snippet: In the default implementation of PhysIO, the user is encouraged to do this as a separate step in the Statistical Parametric Mapping (SPM) package in MATLAB ( ; ) and integrate the physiological noise model with any task-based regressors in a unified GLM that includes pre-whitening and high-pass filtering.

    Techniques: Comparison, Software