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rsfMRI Study of Sensimotor Cortex in Multiple Sclerosis (MS) Using Independent Component Analysis (ICA) in GIFT Toolbox with Infomax Algorithm

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Innovations in Biomedical Engineering (AAB 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1223))

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Abstract

The aim of this study is to apply the Independent Component Analysis (ICA) method in Resting-state Functional MRI (rsfMRI) analysis to estimation somatosensory: motor cortex primary M1 (4, 6, 8) and supplementary SMA (1–3, 5, 31, 32, 40), as well as cerebellum, in patients with Multiple Sclerosis (MS) compared with healthy subjects. The measurements were performed on 3 Tesla scanner using and ICA correlation analysis. Independent component analysis (ICA) was used to post-process the rsfMRI data concerning the sensorimotor networks for two groups in Group ICA of fMRI Toolbox (GIFT) by using the Infomax algorithm. The number of independent components (ICs) influence on sensorimotor network in SM group in comparison with the healthy group is discussed taking into consideration some spectral parameters such as dynamic range and fractional of Amplitude of Low Frequency Fluctuation(fALFF), curtosis of timecourses, and spatial maps.

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Acknowledgements

We would like to thank you for providing rsfMRI data to Professor Uwe Klose from Hospital in Tuebingen and Dr. Aldona Giec-Lorenz from Helimed Diagnostic Imaging in Katowice.

Author information

Authors and Affiliations

  1. Łukasiewicz Research Network - Institute of Medical Technology and Equipment, 118 Roosevelt St., 41-800, Zabrze, Poland

    Ilona Karpiel

  2. Department of Medical Physics, Institute of Physics University of Silesia, 75 Pułku Piechoty 1, 41-500, Chorzów, Poland

    Zofia Drzazga

Authors
  1. Ilona Karpiel
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  2. Zofia Drzazga
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Corresponding author

Correspondence to Ilona Karpiel .

Editor information

Editors and Affiliations

  1. Faculty of Biomedical Engineering/Department of Biomechatronics, Silesian University of Technology, Zabrze, Poland

    Marek Gzik

  2. Faculty of Biomedical Engineering/Department of Biomaterials and Medical Devices Engineering, Silesian University of Technology, Zabrze, Poland

    Zbigniew Paszenda

  3. Faculty of Biomedical Engineering/Department of Informatics and Medical Devices, Silesian University of Technology, Zabrze, Poland

    Ewa Pietka

  4. Faculty of Biomedical Engineering/Department of Biosensors and Processing of Biomedical Signals, Silesian University of Technology, Zabrze, Poland

    Ewaryst Tkacz

  5. American Heart of Poland, Katowice, Poland

    Krzysztof Milewski

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Karpiel, I., Drzazga, Z. (2021). rsfMRI Study of Sensimotor Cortex in Multiple Sclerosis (MS) Using Independent Component Analysis (ICA) in GIFT Toolbox with Infomax Algorithm. In: Gzik, M., Paszenda, Z., Pietka, E., Tkacz, E., Milewski, K. (eds) Innovations in Biomedical Engineering. AAB 2020. Advances in Intelligent Systems and Computing, vol 1223. Springer, Cham. https://doi.org/10.1007/978-3-030-52180-6_35

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