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    MathWorks Inc matlab toolbox gift
    Matlab Toolbox Gift, 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/product/matlab+gift+toolbox/bio_rxiv__2025__04__11__648311-92-18-18
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    Article Title: Structural covariance networks in the mouse brain.
    Article Snippet: 13 14 15 16 Article history: Received 1 September 2015 Accepted 11 January 2016 Available online xxxx 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 C T E D P R O The presence of networks of correlation between regional gray matter volume as measured across subjects in a group of individuals has been consistently described in several human studies, an approach termed structural covariance MRI (scMRI).. Complementary to prevalent brain mapping modalities like functional and diffusionweighted imaging, the approach can provide precious insights into the mutual influence of trophic and plastic processes in health and pathological states.. To investigate whether analogous scMRI networks are present in lower mammal species amenable to genetic and experimental manipulation such as the laboratory mouse, we employed high resolution morphoanatomical MRI in a large cohort of genetically-homogeneous wild-type mice (C57Bl6/J) and mapped scMRI networks using a seed-based approach.

    Functional Assay:

    Article Title: Abnormal Resting-State Network Presence in Females with Overactive Bladder
    Article Snippet: .. Directed connectivity: The MATLAB GIFT toolbox ( https://www.nitrc.org/projects/gift (accessed on 12 September 2022)) and Functional Network Connectivity Toolbox (FNCT, https://trendscenter.org/software/fnc/ (accessed on 12 September 2022)) were used to estimate the temporal dynamics of FC between the DMN, FPN, and SAN (deduced from the ICA) [ ]. ..

    Article Title: Abnormal Resting-State Network Presence in Females with Overactive Bladder.
    Article Snippet: .. Directed connectivity: The MATLAB GIFT toolbox (https://www.nitrc.org/projects/ gift (accessed on 12 September 2022)) and Functional Network Connectivity Toolbox (FNCT, https://trendscenter.org/software/fnc/ (accessed on 12 September 2022)) were used to estimate the temporal dynamics of FC between the DMN, FPN, and SAN (deduced from the ICA) [38]. ..



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    (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: <t>BOLD‐fMRI</t> scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.
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    Main networks (MNs) extracted by <t>group</t> <t>ICA</t> and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.
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    Image Search Results


    (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Journal: Epilepsia Open

    Article Title: Intrinsic brain network stability during kainic acid‐induced epileptogenesis

    doi: 10.1002/epi4.70002

    Figure Lengend Snippet: (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Article Snippet: Group‐level BOLD‐fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.

    Techniques: Control

    Main networks (MNs) extracted by group ICA and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.

    Journal: Epilepsia Open

    Article Title: Intrinsic brain network stability during kainic acid‐induced epileptogenesis

    doi: 10.1002/epi4.70002

    Figure Lengend Snippet: Main networks (MNs) extracted by group ICA and averaged across all experimental trials. The ICA intensity (z‐map) ranged from 0 to 6.5 and represents the significant functional connectivity in each MN. All the MNs were overlaid on a co‐registered rat brain mask to aid structural identification. (A). Axial view of the selected MNs in the sham control rats of the frontal cortex network (FCN, including the orbital frontal and medial frontal cortex areas), hippocampal network (HPN, including the hippocampal and parahippocampal areas), thalamic network (THN, including the thalamus and hypothalamus areas), and the sensorimotor network (SMN, including primary and secondary motor cortex). (B). Similar MNs identified in the KA rats. (C). Unsupervised ROI extraction of the sub‐regions in RSFNs. The MNs (solid blue color) overlay to their sub‐regions as referred to in the rat brain atlas, where: C1. FCN overlays on cingulate cortex (green), prelimbic cortex (yellow), and retrosplenial cortex (red); C2. HPN overlays on dorsal (green) and ventral (yellow) hippocampus; C3. THN overlays on thalamus (green); and C4. SMN overlays on primary (yellow) and secondary (green) motor cortex. (D). The normalized area of coverage, which was computed by the percentage of the sub‐regions that were covered by the RSFNs. (E). Summary of all ROIs in the rat brain template.

    Article Snippet: Group‐level BOLD‐fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.

    Techniques: Functional Assay, Control, Extraction