Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey

Implications for EEG data in humans

Natasza Marrouch, Heather L. Read, Joanna Slawinska, Dimitrios Giannakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a data-driven method to extract spatiotemporal dynamics of mismatch negativity in a marmoset monkey. In this, we treat electrocorticographic (ECoG) data as observables of a skew-product dynamical system and extract the patterns of the neural dynamics from the point of view of the operator-theoretic formulation of ergodic theory. We successfully extract time-separable frequencies without bandpass filtering. Second, we examine in more detail the frequency band most commonly associated with MMN-beta-band activity (13-20 Hz) and proceed to cross-validate our results with those obtained by Komatsu, Takaura, and Fuji (2015). Having ensured the compatibility and statistical significance of the results, we then examine the spatiotemporal dynamics, and we find that MMN is in part driven by a synchronization in brain response following a deviation in the auditory stimuli.

Original languageEnglish (US)
Title of host publication2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Volume2018-July
ISBN (Electronic)9781509060146
DOIs
StatePublished - Oct 10 2018
Event2018 International Joint Conference on Neural Networks, IJCNN 2018 - Rio de Janeiro, Brazil
Duration: Jul 8 2018Jul 13 2018

Other

Other2018 International Joint Conference on Neural Networks, IJCNN 2018
CountryBrazil
CityRio de Janeiro
Period7/8/187/13/18

Fingerprint

Electroencephalography
Decomposition
Experiments
Frequency bands
Brain
Synchronization
Dynamical systems

Keywords

  • electrophysiological data
  • kernel methods
  • Koopman operators
  • mismatch negativity
  • spatiotemporal patterns

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

Cite this

Marrouch, N., Read, H. L., Slawinska, J., & Giannakis, D. (2018). Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans. In 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings (Vol. 2018-July). [8489475] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2018.8489475

Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey : Implications for EEG data in humans. / Marrouch, Natasza; Read, Heather L.; Slawinska, Joanna; Giannakis, Dimitrios.

2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018. 8489475.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Marrouch, N, Read, HL, Slawinska, J & Giannakis, D 2018, Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans. in 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. vol. 2018-July, 8489475, Institute of Electrical and Electronics Engineers Inc., 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, 7/8/18. https://doi.org/10.1109/IJCNN.2018.8489475
Marrouch N, Read HL, Slawinska J, Giannakis D. Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey: Implications for EEG data in humans. In 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Vol. 2018-July. Institute of Electrical and Electronics Engineers Inc. 2018. 8489475 https://doi.org/10.1109/IJCNN.2018.8489475
Marrouch, Natasza ; Read, Heather L. ; Slawinska, Joanna ; Giannakis, Dimitrios. / Data-driven spectral decomposition of ECoG signal from an auditory oddball experiment in a marmoset monkey : Implications for EEG data in humans. 2018 International Joint Conference on Neural Networks, IJCNN 2018 - Proceedings. Vol. 2018-July Institute of Electrical and Electronics Engineers Inc., 2018.
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