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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/conn+functional+connectivity+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: Effects of four-week intranasal oxytocin administration on large-scale brain networks in older adults
    Article Snippet: .. In particular, as graphically summarized in Fig. 2A , we used the CONN functional connectivity toolbox (v.18.b; Whitfield-Gabrieli and Nieto-Castanon, 2012) in conjunction with SPM12 software ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) on MATLAB R2018a (MathWorks Inc., Natick, MA, USA) to preprocess the resting-state MRI images from pre- and post-intervention, following the default preprocessing pipeline for volume-based analysis. ..

    Article Title: Exploring the late maturation of an intrinsic episodic memory network: A resting-state fMRI study
    Article Snippet: .. Preprocessing was performed using the CONN functional connectivity toolbox (version 20b; ), implemented in Matlab (version R2020b; The Mathworks Inc., Massachusetts, USA). ..

    Article Title: Connectivity, Pathology, and ApoE4 Interactions Predict Longitudinal Tau Spatial Progression and Memory
    Article Snippet: .. ROI‐to‐ROI functional connectivity was assessed using the CONN functional connectivity toolbox (version 17e) (Whitfield‐Gabrieli and Nieto‐Castanon ) implemented in MATLAB version 2021a (The Mathworks Inc., Natick, MA). ..

    Article Title: Exploring the late maturation of an intrinsic episodic memory network: A resting-state fMRI study.
    Article Snippet: Previous research suggests that episodic memory relies on functional neural networks,which are present even in the absence of an explicit task.. The regions that integrate.these networks and the developmental changes in intrinsic functional connectivity.remain elusive.. In the present study, we outlined an intrinsic episodic memory network. (iEMN) based on a systematic selection of functional connectivity studies, and.inspected network differences in resting-state fMRI between adolescents (13–17 years.old) and adults (23–27 years old) from the publicly available NKI-Rockland Sample.Through a review of brain regions commonly associated with episodic memory.networks, we identified a potential iEMN composed by 14 bilateral ROIs, distributed.across temporal, frontal and parietal lobes.

    Article Title: Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis
    Article Snippet: .. Resting-state functional magnetic resonance imaging (rs-fMRI) data were pre-processed utilizing the CONN Functional Connectivity Toolbox in MATLAB R2018b software (The MathWorks Inc.). ..

    Article Title: Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis.
    Article Snippet: .. MRI data pre-processing and connectivity matrix Resting-state functional magnetic resonance imaging (rs-fMRI) data were pre-processed utilizing the CONN Functional Connectivity Toolbox in MATLAB R2018b software (The MathWorks Inc.). ..

    Software:

    Article Title: Effects of four-week intranasal oxytocin administration on large-scale brain networks in older adults
    Article Snippet: .. In particular, as graphically summarized in Fig. 2A , we used the CONN functional connectivity toolbox (v.18.b; Whitfield-Gabrieli and Nieto-Castanon, 2012) in conjunction with SPM12 software ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) on MATLAB R2018a (MathWorks Inc., Natick, MA, USA) to preprocess the resting-state MRI images from pre- and post-intervention, following the default preprocessing pipeline for volume-based analysis. ..

    Article Title: Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis
    Article Snippet: .. Resting-state functional magnetic resonance imaging (rs-fMRI) data were pre-processed utilizing the CONN Functional Connectivity Toolbox in MATLAB R2018b software (The MathWorks Inc.). ..

    Article Title: Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis.
    Article Snippet: .. MRI data pre-processing and connectivity matrix Resting-state functional magnetic resonance imaging (rs-fMRI) data were pre-processed utilizing the CONN Functional Connectivity Toolbox in MATLAB R2018b software (The MathWorks Inc.). ..

    Magnetic Resonance Imaging:

    Article Title: Effects of four-week intranasal oxytocin administration on large-scale brain networks in older adults
    Article Snippet: .. In particular, as graphically summarized in Fig. 2A , we used the CONN functional connectivity toolbox (v.18.b; Whitfield-Gabrieli and Nieto-Castanon, 2012) in conjunction with SPM12 software ( https://www.fil.ion.ucl.ac.uk/spm/software/spm12/ ) on MATLAB R2018a (MathWorks Inc., Natick, MA, USA) to preprocess the resting-state MRI images from pre- and post-intervention, following the default preprocessing pipeline for volume-based analysis. ..

    Article Title: Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis
    Article Snippet: .. Resting-state functional magnetic resonance imaging (rs-fMRI) data were pre-processed utilizing the CONN Functional Connectivity Toolbox in MATLAB R2018b software (The MathWorks Inc.). ..

    Article Title: Brain network alterations in mobile phone use problem severity: A multimodal neuroimaging analysis.
    Article Snippet: .. MRI data pre-processing and connectivity matrix Resting-state functional magnetic resonance imaging (rs-fMRI) data were pre-processed utilizing the CONN Functional Connectivity Toolbox in MATLAB R2018b software (The MathWorks Inc.). ..



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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