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ica of fmri toolbox  (MathWorks Inc)


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    MathWorks Inc ica of fmri toolbox
    Ica Of Fmri Toolbox, 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+of+fmri+toolbox/pmc12009941-114-10-16
    Average 90 stars, based on 1 article reviews
    ica of fmri toolbox - by Bioz Stars, 2026-10
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    other:

    Article Title: Reduced resting-state brain activity in the default mode network in children with (central) auditory processing disorders
    Article Snippet: The Matlab toolbox, group ICA of fMRI Toolbox (GIFT; http://icatb.sourceforge.net ), was used for ICA analysis.

    Article Title: Neural correlates of victimization in psychosis: differences in brain response to angry faces
    Article Snippet: ICA was performed with the Group ICA of fMRI Toolbox (GIFT; version 3.0b; MATLAB Software), which was implemented in Matlab version 2013b.

    Article Title: Merging Clinical Neuropsychology and Functional Neuroimaging to Evaluate the Construct Validity and Neural Network Engagement of the n-Back Task
    Article Snippet: After preprocessing, ICA was conducted using the Group ICA of fMRI Toolbox (GIFT v1.3) for Matlab (Calhoun, Adali, Pearlson, & Pekar, 2001) to identify and remove sources of signal caused by head motion (Tohka et al., 2008; see METHODS, Independent Component Analysis and General Linear Modeling for detailed ICA procedure).

    Article Title: Effective connectivity analysis of response inhibition functional network
    Article Snippet: The ICA methods are available in the Group ICA of fMRI Toolbox (GIFT v1.3b) implemented in MATLAB.

    Article Title: Neuroanatomical correlates of individual differences in the object choice task in chimpanzees ( Pan troglodytes )
    Article Snippet: The smoothed, modulated gray matter volumes were then subjected to a source-based morphometry (SBM) analysis using the Group ICA of fMRI Toolbox (GIFT) in MATLAB R2015b using the default parameters for all variables.

    Article Title: Aberrant Static and Dynamic Functional Network Connectivity in Acute Mild Traumatic Brain Injury with Cognitive Impairment.
    Article Snippet: Purpose This study aimed to investigate differences in static and dynamic functional network connectivity (FNC) and explore their association with neurocognitive performance in acute mild traumatic brain injury (mTBI).. Methods A total of 76 patients with acute mTBI and 70 age-matched and sex-matched healthy controls were enrolled (age 43.79± 10.22 years vs. 45.63± 9.49 years; male/female: 34/42 vs. 38/32; all p> 0.05) and underwent resting-state functional magnetic resonance imaging (fMRI) scan (repetition time/echo time= 2000/30ms, 230 volumes).. Independent component analysis was conducted to evaluate static and dynamic FNC patterns on the basis of nine resting-state networks, namely, auditory network (AUDN), dorsal attention network (dAN), ventral attention network (vAN), default mode network (DMN), left frontoparietal network (LFPN), right frontoparietal network (RFPN), somatomotor network (SMN), visual network (VN), and salience network (SN).

    Article Title: Information Assisted Dictionary Learning for fMRI Data Analysis
    Article Snippet: For this study, we considered 900 subjects from the motortask fMRI dataset of the WU-Minn Human Connectome Project [57], which is available at the HCP repository9, and the acquisition parameters are summarized in the imag- 8The Group ICA of fMRI Toolbox (GIFT) is an open Matlab software suitable for independent component analysis and blind source separation of group (and single subject) fMRI data: http://mialab.mrn.org/software/gift/.

    Software:

    Article Title: Contributive sources analysis: a measure of neural networks' contribution to brain activations.
    Article Snippet: a Department of Neuroergonomics, Institute of Applied Psychology, Jagiellonian University, Krakow, Poland b Department of Molecular Biophysics, Faculty of Biochemistry, Biophysics and Biotechnology, Jagiellonian University, Krakow, Poland c Donders Institute for Brain, Cognition, and Behaviour, Radboud University Nijmegen, The Netherlands d Neurobiology Department, Malopolska Centre of Biotechnology, Jagiellonian University, Krakow, Poland



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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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    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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    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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    MathWorks Inc group ica of fmri toolbox (gift) software ( http://mialab.mrn.org/software/gift/ )
    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


    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