Analysis of MEG signals for selective arithmetic tasks

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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’s area) with a latency of around 610 ms.

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APA

Peyton, G., Rubin, D. M., Pantanowitz, A., Kleks, A., & Teicher, M. (2016). Analysis of MEG signals for selective arithmetic tasks. In IFMBE Proceedings (Vol. 57, pp. 179–183). Springer Verlag. https://doi.org/10.1007/978-3-319-32703-7_37

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