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Brain functional connectivity and power spectrum analyses during mental arithmetic

Hashim, Syazreen and Mat Safri, Norlaili and Othman, Mohd. Afzan and Zakaria, Nor Aini (2015) Brain functional connectivity and power spectrum analyses during mental arithmetic. Jurnal Teknologi, 74 (6). pp. 41-47. ISSN 0127-9696

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Official URL: http://dx.doi.org/10.11113/jt.v74.4666

Abstract

Mental calculation is one of the skills in executive function where problem solving skill and working memory were needed. The objectives of this study were to determine the directional connection of brain networks using partial directed coherence, and to observe the power spectrum of the brain rhythms during the mental task. Thirteen healthy participants were involved in the mental arithmetic task, where each participant was asked to subtract 1000 with number 7 continuously within 60 seconds. Electroencephalography machine was used to collect the data of brain signal, and the data were analyzed using partial directed coherence and Fast Fourier Transform. There were two possibilities that participants gave an answer; correct or incorrect answer to the calculation. As a result, regardless of correct or incorrect answer, mostly frontal and temporal area has been used in performing the mental task including some part of parietal area. Increasing theta frequency band and decreasing beta frequency band were involved in generating the information needed during mental arithmetic at the frontal area. It generates information of the mental calculation, which is send to other brain areas; i.e. centro-parieto-occipito-temporal area which show decreasing alpha frequency band; an indication of other cognitive processes. In conclusion, frontotemporal area is activated during mental arithmetic task.

Item Type:Article
Uncontrolled Keywords:electroencephalography, fast fourier transform, functional connectivity, mental arithmetic, partial directed coherence
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:57976
Deposited By: Haliza Zainal
Deposited On:04 Dec 2016 04:07
Last Modified:07 Apr 2022 00:24

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