Review



fmri data preprocessing using dpabi software  (MathWorks Inc)


Bioz Verified Symbol MathWorks Inc is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    MathWorks Inc fmri data preprocessing using dpabi software
    Fmri Data Preprocessing Using Dpabi Software, 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/product/fmri+data+preprocessing/pm39800170-98-10-26
    Average 90 stars, based on 1 article reviews
    fmri data preprocessing using dpabi software - by Bioz Stars, 2026-10
    90/100 stars

    Images

    Related Articles

    Imaging:

    Article Title: Reorganization of intrinsic functional connectivity in early-stage Parkinson's disease patients with probable REM sleep behavior disorder.
    Article Snippet: The threshold used for statistical significance was set (with Bonferroni correction) at less than 0.05 (SPSS for Windows, Version 21.0, SPSS, Chicago, IL, USA). .. Statistical analyses of the imaging data were carried out using DPABI software, running under MATLAB. ..

    Software:

    Article Title: Reorganization of intrinsic functional connectivity in early-stage Parkinson's disease patients with probable REM sleep behavior disorder.
    Article Snippet: The threshold used for statistical significance was set (with Bonferroni correction) at less than 0.05 (SPSS for Windows, Version 21.0, SPSS, Chicago, IL, USA). .. Statistical analyses of the imaging data were carried out using DPABI software, running under MATLAB. ..

    Article Title: Combining Quantitative Susceptibility Mapping With the Gray Matter Volume to Predict Neurological Deficits in Patients With Small Artery Occlusion.
    Article Snippet: .. Voxel-based morphometry (VBM) analysis was performed using the DPABI software, built on the MATLAB R2020b (MathWorks, Natick, MA, USA). ..

    Article Title: Resting-state functional magnetic resonance imaging study on cerebrovascular reactivity changes in the precuneus of Alzheimer’s disease and mild cognitive impairment patients
    Article Snippet: .. In the DPABI software of MATLAB, the whole brain template was used to remove cerebrospinal fluid and other disturbances; age, gender, years of education, and head movements were taken as covariables, and the CVR and FC of the three groups were analyzed and compared by voxel-based covariance analysis (ANCOVA). ..

    Article Title: Diffusion kurtosis imaging of brain white matter alteration in patients with coronary artery disease based on the TBSS method
    Article Snippet: .. Based on the parameter maps standardized to MNI space, the DPABI software package in MATLAB 2016b was utilized to extract the relevant parameter values of the brain regions where there are differences in fiber bundle parameters between two groups using Johns Hopkins University (JHU)-ICBM labels as a template. .. We performed all data analyses using SPSS 22.0 statistical software.

    Article Title: Combining Quantitative Susceptibility Mapping With the Gray Matter Volume to Predict Neurological Deficits in Patients With Small Artery Occlusion
    Article Snippet: .. Voxel‐based morphometry (VBM) analysis was performed using the DPABI software, built on the MATLAB R2020b (MathWorks, Natick, MA, USA). ..

    Article Title: Shallow Acupuncture for Chronic Neck Pain: A Multicenter Randomized Controlled Trial Protocol with fMRI and DTI
    Article Snippet: .. The voxel size was set to 1.7 mm × 1.7 mm × 4.0 mm, with a basic resolution of 128×128. fMRI data were processed using the DPABI software package, based on MATLAB and Statistical Parametric Mapping (SPM) platforms. ..

    Functional Assay:

    Article Title: Driving brain state transitions via Adaptive Local Energy Control Model.
    Article Snippet: The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions.. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention.. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.

    Magnetic Resonance Imaging:

    Article Title: Driving brain state transitions via Adaptive Local Energy Control Model.
    Article Snippet: The brain, as a complex system, achieves state transitions through interactions among its regions and also performs various functions.. An in-depth exploration of brain state transitions is crucial for revealing functional changes in both health and pathological states and realizing precise brain function intervention.. Network control theory offers a novel framework for investigating the dynamic characteristics of brain state transitions.



    Similar Products

    fmri data preprocessing preprocessing  (MathWorks Inc)
    96
    MathWorks Inc fmri data preprocessing preprocessing
    Fmri Data Preprocessing Preprocessing, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fmri+data+preprocessing/Database+Toolbox/pm40635417-73-35-42
    Average 96 stars, based on 1 article reviews
    fmri data preprocessing preprocessing - by Bioz Stars, 2026-10
    96/100 stars
    		  Buy from Supplier
    data preprocessing assistant for resting-state fmri (dparsf) software  (MathWorks Inc)
    90
    MathWorks Inc data preprocessing assistant for resting-state fmri (dparsf) software
    Data Preprocessing Assistant For Resting State Fmri (Dparsf) Software, 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/product/fmri+data+preprocessing/pmc11978534-132-22-27
    Average 90 stars, based on 1 article reviews
    data preprocessing assistant for resting-state fmri (dparsf) software - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    data preprocessing assistant for resting-state fmri (dparsf) software in matlab 2017b  (MathWorks Inc)
    90
    MathWorks Inc data preprocessing assistant for resting-state fmri (dparsf) software in matlab 2017b
    Data Preprocessing Assistant For Resting State Fmri (Dparsf) Software In Matlab 2017b, 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/product/fmri+data+preprocessing/pm40047998-83-27-27
    Average 90 stars, based on 1 article reviews
    data preprocessing assistant for resting-state fmri (dparsf) software in matlab 2017b - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    fmri data preprocessing using dpabi software  (MathWorks Inc)
    90
    MathWorks Inc fmri data preprocessing using dpabi software
    Fmri Data Preprocessing Using Dpabi Software, 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/product/fmri+data+preprocessing/pm39800170-98-10-26
    Average 90 stars, based on 1 article reviews
    fmri data preprocessing using dpabi software - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier
    fmri data analysis preprocessing fmri data  (MathWorks Inc)
    96
    MathWorks Inc fmri data analysis preprocessing fmri data
    Fmri Data Analysis Preprocessing Fmri Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fmri+data+preprocessing/Database+Toolbox/pm39709442-106-32-48
    Average 96 stars, based on 1 article reviews
    fmri data analysis preprocessing fmri data - by Bioz Stars, 2026-10
    96/100 stars
    		  Buy from Supplier
    mri data analysis 4 4 1 fmri data preprocessing  (MathWorks Inc)
    96
    MathWorks Inc mri data analysis 4 4 1 fmri data preprocessing
    Mri Data Analysis 4 4 1 Fmri Data Preprocessing, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fmri+data+preprocessing/Database+Toolbox/ppr0778052-184-1-30
    Average 96 stars, based on 1 article reviews
    mri data analysis 4 4 1 fmri data preprocessing - by Bioz Stars, 2026-10
    96/100 stars
    		  Buy from Supplier
    fmri data preprocessing matlab 7 5  (MathWorks Inc)
    96
    MathWorks Inc fmri data preprocessing matlab 7 5
    Fmri Data Preprocessing Matlab 7 5, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fmri+data+preprocessing/Database+Toolbox/pm37943390-52-7-10
    Average 96 stars, based on 1 article reviews
    fmri data preprocessing matlab 7 5 - by Bioz Stars, 2026-10
    96/100 stars
    		  Buy from Supplier
    fmri preprocessing fmri data  (MathWorks Inc)
    96
    MathWorks Inc fmri preprocessing fmri data
    Fmri Preprocessing Fmri Data, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fmri+data+preprocessing/Database+Toolbox/ppr0677309-94-25-34
    Average 96 stars, based on 1 article reviews
    fmri preprocessing fmri data - by Bioz Stars, 2026-10
    96/100 stars
    		  Buy from Supplier
    fmri data preprocessing  (MathWorks Inc)
    96
    MathWorks Inc fmri data preprocessing
    Figure 1. The schematic illustration of the main method. (A) The procedures to obtain multiscale FCNs. (i) the <t>fMRI</t> <t>data</t> from one individual is inputted and preprocessed. (ii) The application of the Schaefer’s multiscale atlases to the fMRI data. The black border lines indicate boundaries of ROIs and the colors encode the resting-state network (RSN) to which the ROI belongs. The RSNs include DMN, frontoparietal network (FP), limbic network (LIM), salience network (SAL), attention network (ATT), somatomotor network (SM), and visual network (VIS). (iii) The extraction of ROI-averaged signals. (iv) The construction of multiscale FCNs from individual fMRI data. (B) The architecture for multiscale atlas-based GCN (MAGCN). The multiscale FCNs are extracted via a series of GCNs connected by the APs. The nodal features h are integrated with skip connections and concatenations, based on which individualized diagnosis is generated.
    Fmri Data Preprocessing, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/fmri+data+preprocessing/Database+Toolbox/pm35136966-94-60-85
    Average 96 stars, based on 1 article reviews
    fmri data preprocessing - by Bioz Stars, 2026-10
    96/100 stars
    		  Buy from Supplier
    rs-fmri image data preprocessing  (MathWorks Inc)
    90
    MathWorks Inc rs-fmri image data preprocessing
    Figure 1. The schematic illustration of the main method. (A) The procedures to obtain multiscale FCNs. (i) the <t>fMRI</t> <t>data</t> from one individual is inputted and preprocessed. (ii) The application of the Schaefer’s multiscale atlases to the fMRI data. The black border lines indicate boundaries of ROIs and the colors encode the resting-state network (RSN) to which the ROI belongs. The RSNs include DMN, frontoparietal network (FP), limbic network (LIM), salience network (SAL), attention network (ATT), somatomotor network (SM), and visual network (VIS). (iii) The extraction of ROI-averaged signals. (iv) The construction of multiscale FCNs from individual fMRI data. (B) The architecture for multiscale atlas-based GCN (MAGCN). The multiscale FCNs are extracted via a series of GCNs connected by the APs. The nodal features h are integrated with skip connections and concatenations, based on which individualized diagnosis is generated.
    Rs Fmri Image Data Preprocessing, 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/product/fmri+data+preprocessing/pm33302680-61-4-19
    Average 90 stars, based on 1 article reviews
    rs-fmri image data preprocessing - by Bioz Stars, 2026-10
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Figure 1. The schematic illustration of the main method. (A) The procedures to obtain multiscale FCNs. (i) the fMRI data from one individual is inputted and preprocessed. (ii) The application of the Schaefer’s multiscale atlases to the fMRI data. The black border lines indicate boundaries of ROIs and the colors encode the resting-state network (RSN) to which the ROI belongs. The RSNs include DMN, frontoparietal network (FP), limbic network (LIM), salience network (SAL), attention network (ATT), somatomotor network (SM), and visual network (VIS). (iii) The extraction of ROI-averaged signals. (iv) The construction of multiscale FCNs from individual fMRI data. (B) The architecture for multiscale atlas-based GCN (MAGCN). The multiscale FCNs are extracted via a series of GCNs connected by the APs. The nodal features h are integrated with skip connections and concatenations, based on which individualized diagnosis is generated.

    Journal: Cerebral cortex (New York, N.Y. : 1991)

    Article Title: Multiscale functional connectome abnormality predicts cognitive outcomes in subcortical ischemic vascular disease.

    doi: 10.1093/cercor/bhab507

    Figure Lengend Snippet: Figure 1. The schematic illustration of the main method. (A) The procedures to obtain multiscale FCNs. (i) the fMRI data from one individual is inputted and preprocessed. (ii) The application of the Schaefer’s multiscale atlases to the fMRI data. The black border lines indicate boundaries of ROIs and the colors encode the resting-state network (RSN) to which the ROI belongs. The RSNs include DMN, frontoparietal network (FP), limbic network (LIM), salience network (SAL), attention network (ATT), somatomotor network (SM), and visual network (VIS). (iii) The extraction of ROI-averaged signals. (iv) The construction of multiscale FCNs from individual fMRI data. (B) The architecture for multiscale atlas-based GCN (MAGCN). The multiscale FCNs are extracted via a series of GCNs connected by the APs. The nodal features h are integrated with skip connections and concatenations, based on which individualized diagnosis is generated.

    Article Snippet: The sagittal T1-weighted images covering the whole brain were acquired by a 3Dfast spoiled gradient recalled echo sequence: TR = 5.6 ms, TE = 1.8 ms, matrix = 256 × 256, inversion time = 450 ms, flip angle = 15◦, slice thickness/gap = 1/0 mm, number of slices = 156, gap = 0, and FOV = 256 × 256 mm2. fMRI Data Preprocessing We adopt the standardized pipeline from the public available toolbox Data Processing Assistant for Resting-State fMRI (Yan and Zang 2010) in Matlab (Mathworks.

    Techniques: Extraction, Biomarker Discovery, Generated