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ica of fmri toolbox software gift version 4.0b  (SourceForge net)

 
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    SourceForge net ica of fmri toolbox software gift version 4.0b
    Ica Of Fmri Toolbox Software Gift Version 4.0b, supplied by SourceForge net, 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/ica+fmri+toolbox+(gift)+software/ica+of+fmri+toolbox+gift+v4+0b/pm39146837-87-2-11
    Average 90 stars, based on 1 article reviews
    ica of fmri toolbox software gift version 4.0b - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: The Resting-State Brain Network Functional Connectivity Changes in Patients With Acute Thyrotoxic Myopathy Based on Independent Component Analysis
    Article Snippet: The blind source separation technique-based GIFT (group ICA of fMRI toolbox, http://icatb.sourceforge.net ) software was used to perform ICA of the preprocessed data, including data dimensionality reduction, ICA calculation, reconstruction of individual components, and Fisher z-transformation.

    Article Title: Source-Based Morphometry Analysis of Group Differences in Fractional Anisotropy in Schizophrenia
    Article Snippet: Following this, we used Group ICA fMRI Toolbox (GIFT) software ( http://icatb.sourceforge.net ) to extract independent components from a subjects-by-voxels FA data matrix (Calhoun et al., 2001 ; Xu et al., 2009a ; Erhardt et al., 2010 ) using the minimum description length method in GIFT, which estimated 20 components (Li et al., 2007 ).

    Article Title: ASSOCIATION OF GRM3 POLYMORPHISM WITH WHITE MATTER INTEGRITY IN SCHIZOPHRENIA
    Article Snippet: ICA was performed in MATLAB using the Group ICA fMRI Toolbox (GIFT) software ( http://icatb.sourceforge.net ) to extract 20 ICs from a subject-by-voxel FA matrix ( Erhardt et al., 2011 ) combining DTI data from both patients and control subjects.

    Article Title: Changes in Brain Function Networks in Patients With Amnestic Mild Cognitive Impairment: A Resting-State fMRI Study
    Article Snippet: Briefly, ICA was performed using GIFT v4.0b software (Group ICA of fMRI toolbox, http://icatb.sourceforge.net ).

    Functional Assay:

    Article Title: Evidence of neuroplasticity with brain–computer interface in a randomized trial for post-stroke rehabilitation: a graph-theoretic study of subnetwork analysis
    Article Snippet: .. The topological analysis of functional subnetworks was performed using GIFT software (Group ICA of fMRI Toolbox, version 4.0, http://icatb.sourceforge.net ). ..

    Software:

    Article Title: Evidence of neuroplasticity with brain–computer interface in a randomized trial for post-stroke rehabilitation: a graph-theoretic study of subnetwork analysis
    Article Snippet: .. The topological analysis of functional subnetworks was performed using GIFT software (Group ICA of fMRI Toolbox, version 4.0, http://icatb.sourceforge.net ). ..

    Article Title: Resting-state functional connectivity changes within the default mode network and the salience network after antipsychotic treatment in early-phase schizophrenia
    Article Snippet: .. The Group ICA fMRI Toolbox software (GIFT) ( http://icatb.sourceforge.net ) was used to analyze the fMRI data with spatial ICA. ..

    Article Title: Impaired attention network in temporal lobe epilepsy: a resting FMRI study.
    Article Snippet: Attention deficit is a common symptom in the patient with mesial temporal lobe epilepsy (mTLE).. Although presumption has been proposed by the previous study that mTLE may have impaired attention networks, no fMRI study has addressed the alteration of the dorsal attention network in mTLE.. Twentyfour patients with bilateral mTLE and the same number of genderand age-matched healthy controls participated in the current fMRI study.

    Article Title: Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
    Article Snippet: .. For the sub-network analysis, preprocessed rs-fMRI data were decomposed into independent components (ICs) using GIFT software (Group ICA of fMRI Toolbox, version 4.0, http://icatb.sourceforge.net ) to construct the sub-networks. ..

    Construct:

    Article Title: Alteration of spatial patterns at the network-level in facial synkinesis: an independent component and connectome analysis
    Article Snippet: .. For the sub-network analysis, preprocessed rs-fMRI data were decomposed into independent components (ICs) using GIFT software (Group ICA of fMRI Toolbox, version 4.0, http://icatb.sourceforge.net ) to construct the sub-networks. ..



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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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    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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    ica of fmri toolbox (gift) software  (MathWorks Inc)
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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.
    Ica Of Fmri Toolbox (Gift) Software, 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/ica+fmri+toolbox+(gift)+software/pmc06420575-89-6-15
    Average 90 stars, based on 1 article reviews
    ica of fmri toolbox (gift) software - by Bioz Stars, 2026-09
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    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