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matlab-based structural connectomic analysis pipeline  (MathWorks Inc)


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    Structured Review

    MathWorks Inc matlab-based structural connectomic analysis pipeline
    Basic processing <t>Lead−connectome</t> pipeline. Minimally preprocessed <t>human</t> <t>connectome</t> <t>project</t> images are co-registered to the structural T1w image using SPM. Structural images are registered to templates using ANTs registration, generating inverse transforms to translate MNI PD25 template to b0 space. DSI Studio is used to apply Q−sampling on diffusion images to reconstruct diffusion orientations and generate diffusion network statistics of segmented ROIs and ROI diffusion connectivity.
    Matlab Based Structural Connectomic Analysis Pipeline, 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-based structural connectomic analysis pipeline/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based structural connectomic analysis pipeline - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Diffusion Measures of Subcortical Structures Using High-Field MRI"

    Article Title: Diffusion Measures of Subcortical Structures Using High-Field MRI

    Journal: Brain Sciences

    doi: 10.3390/brainsci13030391

    Basic processing Lead−connectome pipeline. Minimally preprocessed human connectome project images are co-registered to the structural T1w image using SPM. Structural images are registered to templates using ANTs registration, generating inverse transforms to translate MNI PD25 template to b0 space. DSI Studio is used to apply Q−sampling on diffusion images to reconstruct diffusion orientations and generate diffusion network statistics of segmented ROIs and ROI diffusion connectivity.
    Figure Legend Snippet: Basic processing Lead−connectome pipeline. Minimally preprocessed human connectome project images are co-registered to the structural T1w image using SPM. Structural images are registered to templates using ANTs registration, generating inverse transforms to translate MNI PD25 template to b0 space. DSI Studio is used to apply Q−sampling on diffusion images to reconstruct diffusion orientations and generate diffusion network statistics of segmented ROIs and ROI diffusion connectivity.

    Techniques Used: Sampling, Diffusion-based Assay

    Connectivity matrices of significant, FDR−corrected mean differences of diffusion measures, FA, MD, QA, between 3T and 7T connectomes. Positive values (near red on the color bar) represent higher value of 3T mean diffusion measure while negative values (near dark blue on the color bar) represent higher value of 7T mean diffusion measure. Insignificant values were set to 0.
    Figure Legend Snippet: Connectivity matrices of significant, FDR−corrected mean differences of diffusion measures, FA, MD, QA, between 3T and 7T connectomes. Positive values (near red on the color bar) represent higher value of 3T mean diffusion measure while negative values (near dark blue on the color bar) represent higher value of 7T mean diffusion measure. Insignificant values were set to 0.

    Techniques Used: Diffusion-based Assay



    Similar Products

    matlab-based structural connectomic analysis pipeline  (MathWorks Inc)
    90
    MathWorks Inc matlab-based structural connectomic analysis pipeline
    Basic processing <t>Lead−connectome</t> pipeline. Minimally preprocessed <t>human</t> <t>connectome</t> <t>project</t> images are co-registered to the structural T1w image using SPM. Structural images are registered to templates using ANTs registration, generating inverse transforms to translate MNI PD25 template to b0 space. DSI Studio is used to apply Q−sampling on diffusion images to reconstruct diffusion orientations and generate diffusion network statistics of segmented ROIs and ROI diffusion connectivity.
    Matlab Based Structural Connectomic Analysis Pipeline, 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-based structural connectomic analysis pipeline/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab-based structural connectomic analysis pipeline - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Basic processing Lead−connectome pipeline. Minimally preprocessed human connectome project images are co-registered to the structural T1w image using SPM. Structural images are registered to templates using ANTs registration, generating inverse transforms to translate MNI PD25 template to b0 space. DSI Studio is used to apply Q−sampling on diffusion images to reconstruct diffusion orientations and generate diffusion network statistics of segmented ROIs and ROI diffusion connectivity.

    Journal: Brain Sciences

    Article Title: Diffusion Measures of Subcortical Structures Using High-Field MRI

    doi: 10.3390/brainsci13030391

    Figure Lengend Snippet: Basic processing Lead−connectome pipeline. Minimally preprocessed human connectome project images are co-registered to the structural T1w image using SPM. Structural images are registered to templates using ANTs registration, generating inverse transforms to translate MNI PD25 template to b0 space. DSI Studio is used to apply Q−sampling on diffusion images to reconstruct diffusion orientations and generate diffusion network statistics of segmented ROIs and ROI diffusion connectivity.

    Article Snippet: LEAD Connectome, a MATLAB-based structural connectomic analysis pipeline which utilizes DSI studio for generalized Q-ball imaging (GQI), was used to generate structural connectome for each 3T and 7T acquisition [ ].

    Techniques: Sampling, Diffusion-based Assay

    Connectivity matrices of significant, FDR−corrected mean differences of diffusion measures, FA, MD, QA, between 3T and 7T connectomes. Positive values (near red on the color bar) represent higher value of 3T mean diffusion measure while negative values (near dark blue on the color bar) represent higher value of 7T mean diffusion measure. Insignificant values were set to 0.

    Journal: Brain Sciences

    Article Title: Diffusion Measures of Subcortical Structures Using High-Field MRI

    doi: 10.3390/brainsci13030391

    Figure Lengend Snippet: Connectivity matrices of significant, FDR−corrected mean differences of diffusion measures, FA, MD, QA, between 3T and 7T connectomes. Positive values (near red on the color bar) represent higher value of 3T mean diffusion measure while negative values (near dark blue on the color bar) represent higher value of 7T mean diffusion measure. Insignificant values were set to 0.

    Article Snippet: LEAD Connectome, a MATLAB-based structural connectomic analysis pipeline which utilizes DSI studio for generalized Q-ball imaging (GQI), was used to generate structural connectome for each 3T and 7T acquisition [ ].

    Techniques: Diffusion-based Assay