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conn toolbox in matlab  (MathWorks Inc)


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    Structured Review

    MathWorks Inc conn toolbox in matlab
    Conn Toolbox In Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2341 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab+conn+toolbox/Database+Toolbox/pm41865916-96-9-12
    Average 96 stars, based on 2341 article reviews
    conn toolbox in matlab - by Bioz Stars, 2026-10
    96/100 stars

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    Related Articles

    Functional Assay:

    Article Title: Using Biosensors to Detect and Map Language Areas in the Brain for Individuals with Traumatic Brain Injury
    Article Snippet: 25 , [ ] , - Genetically encoded fluorescent sensors - New bioluminescent sensors for deep-tissue imaging , - Brain activities, neuronal imaging using fluorescent protein-based biosensors. - Protein engineering, optimizations, and experimental applications for imaging brain activities. , - Reliability is influenced by protein engineering efforts and experimental applications. - Future developments aim to enhance reliability and fill technological gaps. , - Factors influencing sensor performance analyzed through protein engineering efforts. - Future developments can fill technological gaps for improved sensor performance. , - Genetically encoded fluorescent sensors - New bioluminescent sensors for deep-tissue imaging. .. 1 , [ ] , To examine if language area connectivity is asymmetric in the brains of normal children. , Functional connectivity analysis using MATLAB CONN toolbox , Suggests biosensors can detect lateralization in language areas, important for understanding development.. .. 2 , [ ] , Identify potential language processing areas in the human brain using a broad definition of language. , Functional MRI with phonetic and semantic analysis tasks , Demonstrates the precision of biosensors in mapping language processing networks in the brain..

    Article Title: Arterial Spin Labeling Perfusion in Pediatric Brain Tumors: A Review of Techniques, Quality Control, and Quantification.
    Article Snippet: .. Cancers 2022, 14, 4734 7 of 17 Researchers recommend pre-processing rs-fASL data using MATLAB CONN toolbox, through the realignment of functional data, registration, and normalization [38]. ..

    Article Title: Disturbed Functional Connectivity Between Anterior Default Mode and Sensory Processing Regions Is Linked to Peripheral Inflammatory Markers and Psychopathology in Schizophrenia.
    Article Snippet: © The Author(s) 2025.. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.. All rights reserved.

    Diffusion-based Assay:

    Article Title: Disturbed Functional Connectivity Between Anterior Default Mode and Sensory Processing Regions Is Linked to Peripheral Inflammatory Markers and Psychopathology in Schizophrenia.
    Article Snippet: © The Author(s) 2025.. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.. All rights reserved.

    Imaging:

    Article Title: Disturbed Functional Connectivity Between Anterior Default Mode and Sensory Processing Regions Is Linked to Peripheral Inflammatory Markers and Psychopathology in Schizophrenia.
    Article Snippet: © The Author(s) 2025.. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.. All rights reserved.

    Sequencing:

    Article Title: Disturbed Functional Connectivity Between Anterior Default Mode and Sensory Processing Regions Is Linked to Peripheral Inflammatory Markers and Psychopathology in Schizophrenia.
    Article Snippet: © The Author(s) 2025.. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center.. All rights reserved.

    Article Title: Functional connectivity signatures of NMDAR dysfunction in schizophrenia—integrating findings from imaging genetics and pharmaco-fMRI
    Article Snippet: .. All fMRI datasets were subjected to the default pre-processing pipeline as implemented in the MATLAB conn toolbox. (For an overview of the MRI sequence parameters and the preprocessing steps see the supplementary material (Supplementary Methods M & M ). ..

    Magnetic Resonance Imaging:

    Article Title: Functional connectivity signatures of NMDAR dysfunction in schizophrenia—integrating findings from imaging genetics and pharmaco-fMRI
    Article Snippet: .. All fMRI datasets were subjected to the default pre-processing pipeline as implemented in the MATLAB conn toolbox. (For an overview of the MRI sequence parameters and the preprocessing steps see the supplementary material (Supplementary Methods M & M ). ..

    other:

    Article Title: Lower functional hippocampal redundancy in mild cognitive impairment
    Article Snippet: Preprocessing steps were implemented in the MATLAB (R2017b) Conn toolbox (conn18b) .



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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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    MathWorks Inc conn matlab/spm-based toolbox
    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