home-made matlab scripts Search Results


matlab-based script  (MathWorks Inc)
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MathWorks Inc matlab-based script
Matlab Based Script, 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
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homemade scripts matlab 2019b  (MathWorks Inc)
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MathWorks Inc homemade scripts matlab 2019b
Homemade Scripts Matlab 2019b, 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
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home-made scripts in  (MathWorks Inc)
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Home Made Scripts In, 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
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homemade matlab script smt_motion_classifier.m  (MathWorks Inc)
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MathWorks Inc homemade matlab script smt_motion_classifier.m
Homemade Matlab Script Smt Motion Classifier.M, 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
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home-made matlab script  (MathWorks Inc)
90
MathWorks Inc home-made matlab script
Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Home Made Matlab Script, 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/home-made matlab script/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
home-made matlab script - by Bioz Stars, 2026-03
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homemade scripts in matlab r2021b  (MathWorks Inc)
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MathWorks Inc homemade scripts in matlab r2021b
Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Homemade Scripts In Matlab R2021b, 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/homemade scripts in matlab r2021b/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
homemade scripts in matlab r2021b - by Bioz Stars, 2026-03
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home-made script matlab 7.13a  (MathWorks Inc)
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MathWorks Inc home-made script matlab 7.13a
Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Home Made Script Matlab 7.13a, 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/home-made script matlab 7.13a/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
home-made script matlab 7.13a - by Bioz Stars, 2026-03
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home-made scripts on  (MathWorks Inc)
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MathWorks Inc home-made scripts on
Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Home Made Scripts On, 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/home-made scripts on/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
home-made scripts on - by Bioz Stars, 2026-03
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home-made script in  (MathWorks Inc)
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Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Home Made Script In, 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/home-made script in/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
home-made script in - by Bioz Stars, 2026-03
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matlab r2009a script  (MathWorks Inc)
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MathWorks Inc matlab r2009a script
Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Matlab R2009a Script, 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 r2009a script/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab r2009a script - by Bioz Stars, 2026-03
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csv converter.m matlab script  (MathWorks Inc)
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MathWorks Inc csv converter.m matlab script
Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made <t>MATLAB</t> script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.
Csv Converter.M Matlab Script, 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
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Image Search Results


Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made MATLAB script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.

Journal: NeuroImage : Clinical

Article Title: Neural signature of coma revealed by posteromedial cortex connection density analysis

doi: 10.1016/j.nicl.2017.03.017

Figure Lengend Snippet: Overview of the data analysis pipeline. 1) First, the rs-fMRI data was pre-processed using SPM8 and CONN13f, respectively. 2) Using a home-made MATLAB script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC. Then, a subject-specific threshold of p ≤ 0.05 was applied to include only the significant connections in further analysis. 4) The obtained significant connections were split on positive and negative (based on the sign of the normalized z coefficients), binarized and used to 5) obtain the density of connection between PMC and mPFC voxels. 6) A Z-score was calculated for each single PMC voxel as explained in the figure. 7) Voxels with a sig. Z score were summed and characterized as hypo/hyper-CDP and hypo/hyper-CDN as presented in the figure.

Article Snippet: 2) Using a home-made MATLAB script, the BOLD time series was extracted from voxels in two main regions of interest then used in 3) calculation of Pearson correlation coefficients between the BOLD time course of all the possible pairs of voxels from PMC and mPFC.

Techniques: