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conn functional connectivity toolbox version 22  (MathWorks Inc)


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    MathWorks Inc conn functional connectivity toolbox version 22
    Conn Functional Connectivity Toolbox Version 22, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1227 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/functional+connectivity+conn+toolbox/Control+System+Toolbox/bio_rxiv__2025__07__09__663823-240-7-16
    Average 96 stars, based on 1227 article reviews
    conn functional connectivity toolbox version 22 - by Bioz Stars, 2026-11
    96/100 stars

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    Related Articles

    Functional Assay:

    Article Title: Concurrent tDCS-fMRI after stroke reveals link between attention network organization and motor improvement
    Article Snippet: .. Spatial and temporal pre-processing were performed using the Functional Connectivity (CONN) Toolbox (The Gabrieli Lab, McGovern Institute for Brain Research, Massachusetts Institute of Technology, v.2017.f1) and Statistical Parametric Mapping (SPM) software (Functional Imaging Laboratory, UCL Queen Square Institute of Neurology, London, UK, v12) running in MATLAB (The Mathworks Inc, Natick, MA, USA, v2022b) as implemented by Nieto-Castanon . ..

    Article Title: Reproducing macaque lateral grasping and oculomotor networks using resting state functional connectivity and diffusion tractography.
    Article Snippet: .. Seed-based resting state analyses were computed to evaluate the interactions of each ROI with other sectors using the Functional Connectivity (CONN) toolbox (https ://www.nitrc .org/ proje cts/conn), a MATLAB/SPM-based cross-platform opensource software. ..

    Article Title: Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children.
    Article Snippet: .. In this research, considering the opinions of the physiologist, neurologist, and cognitive science experts, 9 brain regions (Medial prefrontal cortex (MPFC), Right/Left posterior hippocampus (R/LPH), Right/Left anterior hippocampus (R/LAH), Right/Left lateral amygdala (R/LLA), and Right/Left medial amygdala (R/LMA)) were extracted using the Functional Connectivity (CONN) toolbox (http:// web.mit.edu/swg/software.htm) in MATLAB (2016b) software. ..

    Article Title: Anatomo-functional organization of insular networks: From sensory integration to behavioral control.
    Article Snippet: .. This analysis was computed by the Functional Connectivity (CONN) toolbox (https://web.conn-toolbox.org/), a MATLAB/SPM-based cross-platform open-source software. ..

    Article Title: Clinical utility of fMRI in evaluating of LSD effect on pain-related brain networks in healthy subjects
    Article Snippet: .. Then data were analyzed using the SPM 12 software package (Statistical Parametric Mapping, http://www.fil.ion.ucl.ac.uk/spm/ ) with the Functional Connectivity (CONN) toolbox ( http://web.mit.edu/swg/software.htm ) running on MATLAB (2016b). ..

    Software:

    Article Title: Concurrent tDCS-fMRI after stroke reveals link between attention network organization and motor improvement
    Article Snippet: .. Spatial and temporal pre-processing were performed using the Functional Connectivity (CONN) Toolbox (The Gabrieli Lab, McGovern Institute for Brain Research, Massachusetts Institute of Technology, v.2017.f1) and Statistical Parametric Mapping (SPM) software (Functional Imaging Laboratory, UCL Queen Square Institute of Neurology, London, UK, v12) running in MATLAB (The Mathworks Inc, Natick, MA, USA, v2022b) as implemented by Nieto-Castanon . ..

    Article Title: Reproducing macaque lateral grasping and oculomotor networks using resting state functional connectivity and diffusion tractography.
    Article Snippet: .. Seed-based resting state analyses were computed to evaluate the interactions of each ROI with other sectors using the Functional Connectivity (CONN) toolbox (https ://www.nitrc .org/ proje cts/conn), a MATLAB/SPM-based cross-platform opensource software. ..

    Article Title: Brain mapping, biomarker identification and using machine learning method for diagnosis of anxiety during emotional face in preschool children.
    Article Snippet: .. In this research, considering the opinions of the physiologist, neurologist, and cognitive science experts, 9 brain regions (Medial prefrontal cortex (MPFC), Right/Left posterior hippocampus (R/LPH), Right/Left anterior hippocampus (R/LAH), Right/Left lateral amygdala (R/LLA), and Right/Left medial amygdala (R/LMA)) were extracted using the Functional Connectivity (CONN) toolbox (http:// web.mit.edu/swg/software.htm) in MATLAB (2016b) software. ..

    Article Title: Anatomo-functional organization of insular networks: From sensory integration to behavioral control.
    Article Snippet: .. This analysis was computed by the Functional Connectivity (CONN) toolbox (https://web.conn-toolbox.org/), a MATLAB/SPM-based cross-platform open-source software. ..

    Article Title: Clinical utility of fMRI in evaluating of LSD effect on pain-related brain networks in healthy subjects
    Article Snippet: .. Then data were analyzed using the SPM 12 software package (Statistical Parametric Mapping, http://www.fil.ion.ucl.ac.uk/spm/ ) with the Functional Connectivity (CONN) toolbox ( http://web.mit.edu/swg/software.htm ) running on MATLAB (2016b). ..

    Imaging:

    Article Title: Concurrent tDCS-fMRI after stroke reveals link between attention network organization and motor improvement
    Article Snippet: .. Spatial and temporal pre-processing were performed using the Functional Connectivity (CONN) Toolbox (The Gabrieli Lab, McGovern Institute for Brain Research, Massachusetts Institute of Technology, v.2017.f1) and Statistical Parametric Mapping (SPM) software (Functional Imaging Laboratory, UCL Queen Square Institute of Neurology, London, UK, v12) running in MATLAB (The Mathworks Inc, Natick, MA, USA, v2022b) as implemented by Nieto-Castanon . ..



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    Fig. 2. 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, <t>2023)</t> <t>(https://www.blender.org)</t> based on a publicly available template MRI image of a dog32 (https://figshare.com/s/628cbf7d4210271ffe70).
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    Fig. 2. 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, <t>2023)</t> <t>(https://www.blender.org)</t> based on a publicly available template MRI image of a dog32 (https://figshare.com/s/628cbf7d4210271ffe70).
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    Image Search Results


    Fig. 2. 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 dog32 (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: Fig. 2. 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 dog32 (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