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SourceForge net ica of functional mri toolbox
Ica Of Functional Mri 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
https://www.bioz.com/product/ica+of+functional+mri+toolbox/ica+of+fmri+toolbox/pmc11538860-97-14-17
Average 90 stars, based on 1 article reviews
ica of functional mri toolbox - by Bioz Stars, 2026-09
90/100 stars

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Functional Assay:

Article Title: The effects of sustained cognitive task performance on subsequent resting state functional connectivity in healthy young and middle-aged male schoolteachers.
Article Snippet: .. The Matlab toolbox, group ICA of functional MRI Toolbox (GIFT v1.3h; http://icatb.sourceforge.net), was used for ICA. .. ICA was carried out (algorithm: Infomax) on the entire dataset and the number of components was restricted to 20.

Article Title: Abnormal intrinsic brain functional network dynamics in Parkinson’s disease
Article Snippet: .. To create the intrinsic connectivity networks used in our analysis, we performed spatial group independent component analysis (ICA) implemented in the Group ICA of functional MRI Toolbox (GIFT v3.01; http://icatb.sourceforge.net ). .. Resting state functional MRI data of all subjects were first decomposed into a set of statistically independent components, each of which exhibited a unique time course profile, based on the Infomax algorithm ( Bell and Sejnowski, 1995 ).

Article Title: Alterations of Excitation–Inhibition Balance and Brain Network Dynamics Support Sensory Deprivation Theory in Presbycusis
Article Snippet: .. Group independent component analysis (Group ICA) was carried out by Group ICA of functional MRI Toolbox (GIFT http://icatb.sourceforge.net ). ..

Article Title: Abnormal intrinsic brain functional network dynamics in Parkinson’s disease
Article Snippet: .. Identification of intrinsic connectivity networks To create the intrinsic connectivity networks used in our analysis, we performed spatial group independent component analysis (ICA) implemented in the Group ICA of functional MRI Toolbox (GIFT v3.01; http://icatb.sourceforge.net ). .. Resting state functional MRI data of all subjects were first decomposed into a set of statistically independent components, each of which exhibited a unique time course profile, based on the Infomax algorithm ( Bell and Sejnowski, 1995 ).

Article Title: The Switching Rates of Dynamic Functional Networks Differently Contribute to Cross-Sectional and Longitudinal Cognition in Mild Cognitive Impairment.
Article Snippet: .. We performed spatial group independent component analysis (ICA) implemented in the Group ICA of functional MRI Toolbox (GIFT v4.0a; http://icatb.sourceforge. net) [25,26]. .. Resting-state functional MRI data of all patients were firstly decomposed into principal components for subject-specific data reduction, and then spatially decomposed into 25 ICs, each of which exhibited a unique time course profile, based on the Infomax algorithm [27].

Magnetic Resonance Imaging:

Article Title: The effects of sustained cognitive task performance on subsequent resting state functional connectivity in healthy young and middle-aged male schoolteachers.
Article Snippet: .. The Matlab toolbox, group ICA of functional MRI Toolbox (GIFT v1.3h; http://icatb.sourceforge.net), was used for ICA. .. ICA was carried out (algorithm: Infomax) on the entire dataset and the number of components was restricted to 20.

Article Title: Abnormal intrinsic brain functional network dynamics in Parkinson’s disease
Article Snippet: .. To create the intrinsic connectivity networks used in our analysis, we performed spatial group independent component analysis (ICA) implemented in the Group ICA of functional MRI Toolbox (GIFT v3.01; http://icatb.sourceforge.net ). .. Resting state functional MRI data of all subjects were first decomposed into a set of statistically independent components, each of which exhibited a unique time course profile, based on the Infomax algorithm ( Bell and Sejnowski, 1995 ).

Article Title: Alterations of Excitation–Inhibition Balance and Brain Network Dynamics Support Sensory Deprivation Theory in Presbycusis
Article Snippet: .. Group independent component analysis (Group ICA) was carried out by Group ICA of functional MRI Toolbox (GIFT http://icatb.sourceforge.net ). ..

Article Title: Abnormal intrinsic brain functional network dynamics in Parkinson’s disease
Article Snippet: .. Identification of intrinsic connectivity networks To create the intrinsic connectivity networks used in our analysis, we performed spatial group independent component analysis (ICA) implemented in the Group ICA of functional MRI Toolbox (GIFT v3.01; http://icatb.sourceforge.net ). .. Resting state functional MRI data of all subjects were first decomposed into a set of statistically independent components, each of which exhibited a unique time course profile, based on the Infomax algorithm ( Bell and Sejnowski, 1995 ).

Article Title: The Switching Rates of Dynamic Functional Networks Differently Contribute to Cross-Sectional and Longitudinal Cognition in Mild Cognitive Impairment.
Article Snippet: .. We performed spatial group independent component analysis (ICA) implemented in the Group ICA of functional MRI Toolbox (GIFT v4.0a; http://icatb.sourceforge. net) [25,26]. .. Resting-state functional MRI data of all patients were firstly decomposed into principal components for subject-specific data reduction, and then spatially decomposed into 25 ICs, each of which exhibited a unique time course profile, based on the Infomax algorithm [27].



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