software conn 22.a Search Results


96
MathWorks Inc conn toolbox
Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases <t>(CONN</t> method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings <t>from</t> <t>SPM12.</t> All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).
Conn Toolbox, 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/result/conn toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
conn toolbox - by Bioz Stars, 2026-03
96/100 stars
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96
MathWorks Inc conn functional connectivity toolbox with matlab
Resting-state functional connections across olfactory regions in the dog brain. Twenty-six significant connections across all 14 ROIs among all subjects, calculated by <t>CONN.</t> Calculated connections were Fisher-transformed Pearson correlation coefficients. The maximum value (8.67) is the highest correlation coefficient among found connections. The 3D brain image with ROIs and connections was created using Blender (Version 4.1, Blender Foundation, 2023) <t>(</t> <t>https://www.blender.org</t> ) based on a publicly available template MRI image of a dog ( https://figshare.com/s/628cbf7d4210271ffe70 ).
Conn Functional Connectivity Toolbox With Matlab, 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/result/conn functional connectivity toolbox with matlab/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
conn functional connectivity toolbox with matlab - by Bioz Stars, 2026-03
96/100 stars
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90
Skyscan Corporation cone-beam reconstruction software
Resting-state functional connections across olfactory regions in the dog brain. Twenty-six significant connections across all 14 ROIs among all subjects, calculated by <t>CONN.</t> Calculated connections were Fisher-transformed Pearson correlation coefficients. The maximum value (8.67) is the highest correlation coefficient among found connections. The 3D brain image with ROIs and connections was created using Blender (Version 4.1, Blender Foundation, 2023) <t>(</t> <t>https://www.blender.org</t> ) based on a publicly available template MRI image of a dog ( https://figshare.com/s/628cbf7d4210271ffe70 ).
Cone Beam Reconstruction Software, supplied by Skyscan Corporation, 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/cone-beam reconstruction software/product/Skyscan Corporation
Average 90 stars, based on 1 article reviews
cone-beam reconstruction software - by Bioz Stars, 2026-03
90/100 stars
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90
MathWorks Inc matlab-based software conn
Resting-state functional connections across olfactory regions in the dog brain. Twenty-six significant connections across all 14 ROIs among all subjects, calculated by <t>CONN.</t> Calculated connections were Fisher-transformed Pearson correlation coefficients. The maximum value (8.67) is the highest correlation coefficient among found connections. The 3D brain image with ROIs and connections was created using Blender (Version 4.1, Blender Foundation, 2023) <t>(</t> <t>https://www.blender.org</t> ) based on a publicly available template MRI image of a dog ( https://figshare.com/s/628cbf7d4210271ffe70 ).
Matlab Based Software Conn, 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 software conn/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
matlab-based software conn - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases (CONN method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings from SPM12. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Journal: Neurobiology of Language

Article Title: A Comparison of Denoising Approaches for Spoken Word Production Related Artefacts in Continuous Multiband fMRI Data

doi: 10.1162/nol_a_00151

Figure Lengend Snippet: Group-level significant BOLD signal increases. A . Clusters showing significant BOLD signal increases due to residual head motion regressors (realignment parameters and scrubbed volumes). B . Clusters showing significant BOLD signal increases associated with CSF/edge effects (5 aCompCor components). C . Clusters showing significant global BOLD signal increases (CONN method; default mask value set at 80%). D . Clusters showing significant global BOLD signal increases (mask value set at 0%). E . Extracranial sources of significant global BOLD signal increases observed in the unmasked data from panel D, rendered on a single individual’s T1-weighted MRI scan (‘chris_t1’ in MRIcroGL, Version 13.6.1, https://www.nitrc.org/projects/mricrogl/ ; ). A–D are shown on inflated surface renderings from SPM12. All results come from Pipeline 6 looking at the variance coming from each type of noise regressor when controlling for the others and are thresholded at p < 0.001 with a spatial extent cluster at p < 0.05 (FWE corrected).

Article Snippet: Preprocessing and statistical analyses were conducted using SPM12 ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) and the CONN toolbox (Version 22.a; ) in MATLAB R2019B ( ).

Techniques:

Resting-state functional connections across olfactory regions in the dog brain. Twenty-six significant connections across all 14 ROIs among all subjects, calculated by CONN. Calculated connections were Fisher-transformed Pearson correlation coefficients. The maximum value (8.67) is the highest correlation coefficient among found connections. The 3D brain image with ROIs and connections was created using Blender (Version 4.1, Blender Foundation, 2023) ( https://www.blender.org ) based on a publicly available template MRI image of a dog ( https://figshare.com/s/628cbf7d4210271ffe70 ).

Journal: Scientific Reports

Article Title: Dogs’ olfactory resting-state functional connectivity is modulated by age and brain shape

doi: 10.1038/s41598-025-95123-6

Figure Lengend Snippet: Resting-state functional connections across olfactory regions in the dog brain. Twenty-six significant connections across all 14 ROIs among all subjects, calculated by CONN. Calculated connections were Fisher-transformed Pearson correlation coefficients. The maximum value (8.67) is the highest correlation coefficient among found connections. The 3D brain image with ROIs and connections was created using Blender (Version 4.1, Blender Foundation, 2023) ( https://www.blender.org ) based on a publicly available template MRI image of a dog ( https://figshare.com/s/628cbf7d4210271ffe70 ).

Article Snippet: For these processes, MATLAB (version R2023b, MathWorks, Natick, MA, USA) (for steps 6–7), Statistical Parametric Mapping 12 (SPM12) software with MATLAB (Wellcome Centre for Human Neuroimaging, UCL, London, UK) (for steps 1–5), and the CONN functional connectivity toolbox with MATLAB (version 22.a, www.nitrc.org/projects/conn ) (for steps 8–9) were applied.

Techniques: Functional Assay, Transformation Assay