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A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection

  • Nader Moharamzadeh and Ali Motie Nasrabadi EMAIL logo
Published/Copyright: December 20, 2021
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Biomedical Engineering / Biomedizinische Technik
From the journal Biomedical Engineering / Biomedizinische Technik Volume 67 Issue 1

Abstract

The brain is considered to be the most complicated organ in human body. Inferring and quantification of effective (causal) connectivity among regions of the brain is an important step in characterization of its complicated functions. The proposed method is comprised of modeling multivariate time series with Adaptive Neurofuzzy Inference System (ANFIS) and carrying out a sensitivity analysis using Fuzzy network parameters as a new approach to introduce a connectivity measure for detecting causal interactions between interactive input time series. The results of simulations indicate that this method is successful in detecting causal connectivity. After validating the performance of the proposed method on synthetic linear and nonlinear interconnected time series, it is applied to epileptic intracranial Electroencephalography (EEG) signals. The result of applying the proposed method on Freiburg epileptic intracranial EEG data recorded during seizure shows that the proposed method is capable of discriminating between the seizure and non-seizure states of the brain.

Keywords: causal connectivity; epileptic seizure detection; neurofuzzy network modeling; nonlinear effective connectivity; sensitivity analysis
Corresponding author: Ali Motie Nasrabadi, Department of Biomedical Engineering, Faculty of Engineering, Shahed University, P.O. Box: 3319118651, Tehran, Iran, E-mail:

  1. Research funding: Not applicable.

  2. Author contributions: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Competing interests: Authors state no conflict of interest.

  4. Informed consent: Not applicable.

  5. Ethical approval: Not applicable.

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Received: 2021-03-05
Accepted: 2021-11-26
Published Online: 2021-12-20
Published in Print: 2022-02-23

© 2021 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/bmt-2021-0058
Keywords for this article
causal connectivity; epileptic seizure detection; neurofuzzy network modeling; nonlinear effective connectivity; sensitivity analysis

Articles in the same Issue

  1. Frontmatter
  2. Research Articles
  3. Analysis of objective quality metrics in computed tomography images affected by metal artifacts
  4. Endoscopic confocal laser-microscopy for the intraoperative nerve recognition: is it feasible?
  5. A fuzzy sensitivity analysis approach to estimate brain effective connectivity and its application to epileptic seizure detection
  6. Comparative study of platinum electroplating to improve micro gold electrode arrays with LCP laminate
  7. Stresses and deformations of an osteosynthesis plate in a lateral tibia plateau fracture
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