Analysis of MEG signals for selective arithmetic tasks

Graham Peyton; D. M. Rubin; A. Pantanowitz; A. Kleks; M. Teicher

doi:10.1007/978-3-319-32703-7_37

Analysis of MEG signals for selective arithmetic tasks

Graham Peyton, D. M. Rubin, A. Pantanowitz, A. Kleks, M. Teicher

Department of Mathematics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this study, magnetoencephalography (MEG) data were recorded as subjects carried out a basic numerical task: deciding whether a number is even or odd. Signal processing techniques were applied to the MEG data so as to characterise the spatial and temporal dynamics of the brain during the decision-making process. Event-related fields (ERFs) were found by averaging all the trials in the time domain. Induced potentials or oscillatory rhythms were found by averaging the time-frequency representations (TFRs) for all the trials. The TFRs were found using the Wavelet transform. The results show that typical ERF components are present just after the onset of the stimulus. N100, P200 and N200 waveforms indicate that the brain carries out higher-order perceptual processing modulated by attention, and that memory may play a critical role in parity selection. TFRs show beta-band synchronisation as the individual concentrates on the mental task, followed by desynchronisation as the motor response is carried out. Activity is pronounced in the left general interpretive area (Wernicke’s area) with a latency of around 610 ms.

Original language	English
Title of host publication	XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
Editors	Efthyvoulos Kyriacou, Stelios Christofides, Constantinos S. Pattichis
Publisher	Springer Verlag
Pages	179-183
Number of pages	5
ISBN (Print)	9783319327013
DOIs	https://doi.org/10.1007/978-3-319-32703-7_37
State	Published - 2016
Event	14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 - Paphos, Cyprus Duration: 31 Mar 2016 → 2 Apr 2016

Publication series

Name	IFMBE Proceedings
Volume	57
ISSN (Print)	1680-0737

Conference

Conference	14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016
Country/Territory	Cyprus
City	Paphos
Period	31/03/16 → 2/04/16

Bibliographical note

Publisher Copyright:
© Springer International Publishing Switzerland 2016.

Keywords

Event-related fields
Magnetoencephalography
Parity selection
Time-frequency representations

Access to Document

10.1007/978-3-319-32703-7_37

Cite this

Peyton, G., Rubin, D. M., Pantanowitz, A., Kleks, A., & Teicher, M. (2016). Analysis of MEG signals for selective arithmetic tasks. In E. Kyriacou, S. Christofides, & C. S. Pattichis (Eds.), XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016 (pp. 179-183). (IFMBE Proceedings; Vol. 57). Springer Verlag. https://doi.org/10.1007/978-3-319-32703-7_37

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abstract = "In this study, magnetoencephalography (MEG) data were recorded as subjects carried out a basic numerical task: deciding whether a number is even or odd. Signal processing techniques were applied to the MEG data so as to characterise the spatial and temporal dynamics of the brain during the decision-making process. Event-related fields (ERFs) were found by averaging all the trials in the time domain. Induced potentials or oscillatory rhythms were found by averaging the time-frequency representations (TFRs) for all the trials. The TFRs were found using the Wavelet transform. The results show that typical ERF components are present just after the onset of the stimulus. N100, P200 and N200 waveforms indicate that the brain carries out higher-order perceptual processing modulated by attention, and that memory may play a critical role in parity selection. TFRs show beta-band synchronisation as the individual concentrates on the mental task, followed by desynchronisation as the motor response is carried out. Activity is pronounced in the left general interpretive area (Wernicke{\textquoteright}s area) with a latency of around 610 ms.",

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Peyton, G, Rubin, DM, Pantanowitz, A, Kleks, A & Teicher, M 2016, Analysis of MEG signals for selective arithmetic tasks. in E Kyriacou, S Christofides & CS Pattichis (eds), XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. IFMBE Proceedings, vol. 57, Springer Verlag, pp. 179-183, 14th Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016, Paphos, Cyprus, 31/03/16. https://doi.org/10.1007/978-3-319-32703-7_37

Analysis of MEG signals for selective arithmetic tasks. / Peyton, Graham; Rubin, D. M.; Pantanowitz, A. et al.
XIV Mediterranean Conference on Medical and Biological Engineering and Computing, MEDICON 2016. ed. / Efthyvoulos Kyriacou; Stelios Christofides; Constantinos S. Pattichis. Springer Verlag, 2016. p. 179-183 (IFMBE Proceedings; Vol. 57).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - In this study, magnetoencephalography (MEG) data were recorded as subjects carried out a basic numerical task: deciding whether a number is even or odd. Signal processing techniques were applied to the MEG data so as to characterise the spatial and temporal dynamics of the brain during the decision-making process. Event-related fields (ERFs) were found by averaging all the trials in the time domain. Induced potentials or oscillatory rhythms were found by averaging the time-frequency representations (TFRs) for all the trials. The TFRs were found using the Wavelet transform. The results show that typical ERF components are present just after the onset of the stimulus. N100, P200 and N200 waveforms indicate that the brain carries out higher-order perceptual processing modulated by attention, and that memory may play a critical role in parity selection. TFRs show beta-band synchronisation as the individual concentrates on the mental task, followed by desynchronisation as the motor response is carried out. Activity is pronounced in the left general interpretive area (Wernicke’s area) with a latency of around 610 ms.

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Analysis of MEG signals for selective arithmetic tasks

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Keywords

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