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On the complexity and energy analyses in EEG between alcoholic and control subjects during delayed matching to sample paradigm

Balli, T., Palaniappan, Ramaswamy (2008) On the complexity and energy analyses in EEG between alcoholic and control subjects during delayed matching to sample paradigm. International Journal of Computational Intelligence and Applications, 7 (3). pp. 301-315. ISSN 1469-0268. (doi:10.1142/S1469026808002260) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1142/S1469026808002260

Abstract

In this study, we have investigated the electrophysiological differences between alcoholic and control subjects using two different approaches namely complexity and energy (power) analyses. The electroencephalogram data used in this study were recorded from 77 alcoholic and 44 control subjects while the subjects were performing delayed matching to sample object recognition task for three types of stimuli. These were a single stimulus and a second matching or nonmatching stimulus that followed the single stimulus after a delay. The experimental paradigm evokes object recognition, visual short-term memory, and decision-making abilities. The results indicated that all regions (i.e. frontal, central, temporal, parietal, and occipital) in the brain exhibit more complexity and less energy for alcoholic subjects as compared to controls. When different visual stimuli pairs were compared among alcoholic and control subjects, the results from energy analysis showed groupwise differences in occipital and parietal regions. These results provide a strong indication on the impairment in brain's electrophysiological activity for alcoholic subjects due to a history of long-term alcohol abuse. © 2008 Imperial College Press.

Item Type: Article
DOI/Identification number: 10.1142/S1469026808002260
Additional information: Unmapped bibliographic data: LA - English [Field not mapped to EPrints] J2 - Int. J. Comput. Intell. Appl. [Field not mapped to EPrints] AD - School of Computer Science and Electronic Engineering, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Article [Field not mapped to EPrints]
Uncontrolled keywords: Alcohol abuse, Electroencephalogram, Energy analysis, Nonlinear complexity, Brain, Electrophysiology, Energy management, Optical sensors, Alcohol abuse, Alcoholic subjects, Control subjects, Electroencephalogram, Electroencephalogram datum, Electrophysiological activities, Energy analysis, Nonlinear complexity, Short-term memories, Visual stimulus, Object recognition
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 12 Dec 2018 22:24 UTC
Last Modified: 30 May 2019 08:29 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70714 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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