Dynamics of Scalp Potential and Autonomic Nerve Activity during Intelligence Test

Amin, Hafeez Ullah and Malik, Aamir Saeed and Subhani, Ahmad Rauf and Badruddin, Nasreen and Chooi, Weng-Tink (2013) Dynamics of Scalp Potential and Autonomic Nerve Activity during Intelligence Test. In: Neural Information Processing. Lecture Notes in Computer Science (LNCS), 8226 (8226). Springer Berlin Heidelberg, pp. 9-16. ISBN 978-3-642-42053-5

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Official URL: http://dx.doi.org/10.1007/978-3-642-42054-2_2


The main objective of this study was to examine the changes in autonomic nervous system (ANS) and scalp potential during intelligence test (IQ). Electroencephalogram (EEG) and Electrocardiogram (ECG) signals were recorded simultaneously from eight healthy participants during IQ and resting states (eyes–closed and eyes-open). Heart rate (HR) and heart rate variability (HRV) were derived from ECG signal. EEG mean power was computed for five frequency bands (delta, theta, alpha, beta, and gamma) and analyzed in 12 regions across the scalp. The EEG frequency bands showed significant (p<0.025) changes between IQ test and rest states. Delta and theta at frontal (PF, AF, F) and temporal regions (FT, T, TP) and alpha activity at parietal (P), parieto-occipital (PO) and occipital (O) regions were significant. In beta and gamma bands, highly reduced mean power was found at P, PO, and O regions as compared to PF, AF, and F regions in IQ test. HR and low frequency in normalized unit (LFnu) were increased significantly (p<0.05 and p<0.025, respectively) in IQ test. Further, high frequency in normalized unit (HFnu) was decreased (p<0.11). Results showed parallel changes in scalp potential and automatic nervous activity during IQ test compared to rest conditions.

Item Type: Book Section
Subjects: Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 16 Dec 2013 23:47
Last Modified: 16 Dec 2013 23:47
URI: http://scholars.utp.edu.my/id/eprint/10897

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