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SourceForge net ica for fmri toolbox
Ica For Fmri Toolbox, 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
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Article Title: Postictal resting-state connectivity changes after electroconvulsive therapy-induced seizures.
Article Snippet: This analysis has been conducted within the Group ICA for fMRI toolbox (icatb.sourceforge.net) [20].

Article Title: Functional Decoupling of Language and Self-Reference Networks in Patients with Persistent Auditory Verbal Hallucinations.
Article Snippet: Background: Accumulating neuroimaging evidence suggests that abnormal intrinsic neural activity could underlie auditory verbal hallucinations (AVH) in patients with schizophrenia.. However, little is known about the functional interplay between distinct intrinsic neural networks and their association with AVH.. Methods: We investigated functional network connectivity (FNC) of distinct resting-state networks as well as the relationship between FNC strength and AVH symptom severity.

Article Title: Resting-state functional connectivity of the default mode network associated with happiness
Article Snippet: Independent component analysis Group spatial independent component analysis (ICA) was carried out by the Group ICA for fMRI Toolbox (GIFT v2.0a, icatb.sourceforge.net) ( Calhoun et al. , 2001 ) for 148 participants.

Article Title: Altered intrinsic functional network connectivity is associated with impulsivity and emotion dysregulation in drug-naïve young patients with borderline personality disorder
Article Snippet: A spatial ICA for all 83 participants was performed by using the Group ICA for fMRI toolbox ( http://icatb.sourceforge.net ).

Article Title: Brain activation and functional connectivity in premanifest Huntington's disease during states of intrinsic and phasic alertness
Article Snippet: In this study, a spatial ICA was performed using the “Group ICA for fMRI Toolbox” (GIFT; http://icatb.sourceforge.net ) [Correa et al., 2005 ].

Article Title: Aberrant connectivity of resting-state networks in borderline personality disorder
Article Snippet: We performed a spatial ICA using the Group ICA for fMRI Toolbox (GIFT; http://icatb.sourceforge.net ).

Article Title: Olfactory training induces changes in regional functional connectivity in patients with long-term smell loss
Article Snippet: Group ICA was performed for all three scanning sessions (for all three stimuli) for all subjects conjointly using the Group ICA for fMRI Toolbox (GIFT; http://icatb.sourceforge.net ; ).

Article Title: Reduced functional connectivity within and between ‘social’ resting state networks in autism spectrum conditions
Article Snippet: Group spatial independent component analysis (ICA) was carried out using the Group ICA for fMRI Toolbox (GIFT v1.3g, icatb.sourceforge.net) using the Infomax algorithm ( ).



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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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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