Task-evoked brain functional magnetic susceptibility mapping by independent component analysis (χICA)

Journal of Neuroscience Methods
Zikuan Chen, Vince D Calhoun

Abstract

Conventionally, independent component analysis (ICA) is performed on an fMRI magnitude dataset to analyze brain functional mapping (AICA). By solving the inverse problem of fMRI, we can reconstruct the brain magnetic susceptibility (χ) functional states. Upon the reconstructed χ dataspace, we propose an ICA-based brain functional χ mapping method (χICA) to extract task-evoked brain functional map. A complex division algorithm is applied to a timeseries of fMRI phase images to extract temporal phase changes (relative to an OFF-state snapshot). A computed inverse MRI (CIMRI) model is used to reconstruct a 4D brain χ response dataset. χICA is implemented by applying a spatial InfoMax ICA algorithm to the reconstructed 4D χ dataspace. With finger-tapping experiments on a 7T system, the χICA-extracted χ-depicted functional map is similar to the SPM-inferred functional χ map by a spatial correlation of 0.67 ± 0.05. In comparison, the AICA-extracted magnitude-depicted map is correlated with the SPM magnitude map by 0.81 ± 0.05. The understanding of the inferiority of χICA to AICA for task-evoked functional map is an ongoing research topic. For task-evoked brain functional mapping, we compare the data-driven ICA method with the task-co...Continue Reading

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Mar 27, 2012·Journal of Computer Assisted Tomography·Zikuan Chen, Vince Calhoun
Apr 25, 2012·BMC Medical Imaging·Zikuan Chen, Vince Calhoun
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Jul 11, 2012·NeuroImage·Tomoki ArichiA David Edwards
Mar 27, 2013·Journal of Neuroscience Methods·Zikuan ChenVince D Calhoun
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Jan 1, 2013·Magnetic Resonance Insights·Zikuan Chen, Vince Calhoun
Oct 1, 2014·Magnetic Resonance Imaging·E Mark HaackeYongquan Ye

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Citations

Dec 14, 2016·NeuroImage·César Caballero-Gaudes, Richard C Reynolds
Feb 20, 2018·Frontiers in Neuroscience·Zikuan Chen, Vince Calhoun
May 30, 2021·Computers in Biology and Medicine·Zeyuan Chen, Zikuan Chen

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