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Jung TP, Makeig S, McKeown MJ, et al. Imaging Brain Dynamics Using Independent Component Analysis. Proc IEEE Inst Electr Electron Eng. 2001;89(7):1107-1122doi: 10.1109/5.939827.
Jung, T. P., Makeig, S., McKeown, M. J., Bell, A. J., Lee, T. W., & Sejnowski, T. J. (2001). Imaging Brain Dynamics Using Independent Component Analysis. Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 89(7), 1107-1122. https://doi.org/10.1109/5.939827
Jung, Tzyy-Ping, et al. "Imaging Brain Dynamics Using Independent Component Analysis." Proceedings of the IEEE. Institute of Electrical and Electronics Engineers vol. 89,7 (2001): 1107-1122. doi: https://doi.org/10.1109/5.939827
Jung TP, Makeig S, McKeown MJ, Bell AJ, Lee TW, Sejnowski TJ. Imaging Brain Dynamics Using Independent Component Analysis. Proc IEEE Inst Electr Electron Eng. 2001 Jul 01;89(7):1107-1122. doi: 10.1109/5.939827. PMID: 20824156; PMCID: PMC2932458.
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Proc IEEE Inst Electr Electron Eng. 2001 Jul 01;89(7):1107-1122. doi: 10.1109/5.939827.

Imaging Brain Dynamics Using Independent Component Analysis.

Proceedings of the IEEE. Institute of Electrical and Electronics Engineers

Tzyy-Ping Jung, Scott Makeig, Martin J McKeown, Anthony J Bell, Te-Won Lee, Terrence J Sejnowski

Affiliations

  1. University of California at San Diego, La Jolla, CA 92093-0523 USA and also with The Salk Institute for Biological Studies, La Jolla, CA 92037 USA.

PMID: 20824156 PMCID: PMC2932458 DOI: 10.1109/5.939827

Abstract

The analysis of electroencephalographic (EEG) and magnetoencephalographic (MEG) recordings is important both for basic brain research and for medical diagnosis and treatment. Independent component analysis (ICA) is an effective method for removing artifacts and separating sources of the brain signals from these recordings. A similar approach is proving useful for analyzing functional magnetic resonance brain imaging (fMRI) data. In this paper, we outline the assumptions underlying ICA and demonstrate its application to a variety of electrical and hemodynamic recordings from the human brain.

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