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The GIG-ICA (Group information guided independent component analysis) toolbox is released

时间:2022-02-16 20:07:44   来源:  点击:[215]

Based on the MATLAB interactive development environment, we developed the GIG-ICA (Group information guided independent component analysis) toolbox, which integrated our previously proposed GIG-ICA method. We release the GIG-ICA toolbox here for use by researchers in the field of brain science. The toolbox can analyze the brain functional MRI data of multiple subjects at the same time, and can calculate the brain functional networks of individual subjects, the time series related to the brain functional networks, and the functional network connectivity (FNC). Using our toolbox, brain functional networks and related information can be visualized as well, and the estimated measures can be used by researchers for subsequent statistical analysis, clustering, and classification studies.

The GIG-ICA toolbox includes the following modules:

1)         Analysis of brain functional neuroimaging: The toolbox integrates GIG-ICA method, which can analyze the brain functional MRI data of multiple subjects at the same time, and can calculate the brain functional networks of individual subjects, the time series related to the brain functional networks, and the functional network connectivity (FNC).

2)         Visualization of resultsThe toolbox can display the outcomes of brain functional networks and related information.

The main interface of the toolbox and the results are as follows:

1645013325890305.png  1645013339532448.png


Click me to download the GIG-ICA toolbox!


References:

[1] Du, Y. H., E. A. Allen, H. He, J. Sui, L. Wu and V. D. Calhoun (2016). "Artifact removal in the context of group ICA: A comparison of single-subject and group approaches." Hum Brain Mapp 37(3): 1005-1025.

[2] Du, Y. H. and Y. Fan (2013). "Group information guided ICA for fMRI data analysis." Neuroimage 69: 157-197.

[3] Du, Y. H., G. D. Pearlson, J. Y. Liu, J. Sui, Q. B. Yu, H. He, E. Castro and V. D. Calhoun (2015). "A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders." Neuroimage 122: 272-280.


Intelligent Analysis of Medical Image Laboratory

February 16, 2022