Evaluating functional connectivity in alcoholics based on maximalweight matching

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volumn 15, Issue 9, 2011, Pages 1221-1227

  Zhu, Guohun ^a   Li, Yan ^a   Wen, Peng ^a  

^a UNIVERSITY OF SOUTHERN QUEENSLAND   (Australia)

Author keywords

EEG; Greedy maximal weight matching; Repeated and unrepeated stimuli; Synchronization

Indexed keywords

EID: 81755172839     PISSN: 13430130     EISSN: 18838014     Source Type: Journal    
DOI: 10.20965/jaciii.2011.p1221     Document Type: Article

References (22)

1. E. A. de Bruin, S. Bijl, et al., "Abnormal EEG synchronization in heavily drinking students," Clinical Neurophysiology, Vol.115, No.9, pp. 2048-2055, 2004. (Pubitemid 39037293)
2. E. P. Hayden, R. E. Wiegand, et al., "Patterns of Regional Brain Activity in Alcohol-Dependent Subjects," Alcoholism: Clinical and Experimental Research, Vol.30, No.12, pp. 1986-1991, 2006. (Pubitemid 44749525)
3. A. Michael et al., "Interhemispheric electroencephalographic coherence as a biological marker in alcoholism," Acta Psychiatrica Scandinavica, Vol.87, pp. 213-217, 1993. (Pubitemid 23079934)
4. G.Winterer et al., "EEG phenotype in alcoholism: increased coherence in the depressive subtype," Acta Psychiatrica Scandinavica, Vol.108, pp. 51-60, 2003. (Pubitemid 36783281)
5. P. E. Keller, G. Knoblich, et al., "Pianists duet better when they play with themselves: On the possible role of action simulation in synchronization," Consciousness and Cognition, Vol.16, No.1, pp. 102-111, 2007. (Pubitemid 44881355)
6. X. L. Zhang, H. Begleiter, et al., "Electrophysiological evidence of memory impairment in alcoholic patients," Biological Psychiatry, Vol.42, No.12, pp. 1157-1171, 1997. (Pubitemid 28049928)
7. V. Sakkalis et al., "Optimal brain network synchrony visualization: Application in an alcoholism paradigm," in Engineering in Medicine and Biology Society, 2007 (EMBS 2007), 29th Annual Int. Conf. of the IEEE, Lyon, pp. 4285-4288, October 22, 2007.
8. P. Salvador, et al., "Markovian Models forMedical Signals onWireless Sensor Networks," in Communications Workshops, 2009, ICC Workshops 2009, IEEE Int. Conf. on, pp. 1-5, 2009.
9. B. Hu, et al., "EEG-Based Cognitive Interfaces for Ubiquitous Applications: Developments and Challenges," Intelligent Systems, IEEE, Vol.26, pp. 46-53, 2011.
10. D. J. Watts, S. H. Strogatz, "Collective dynamics of 'small-world' networks," Nature, Vol.393, pp. 440-442, 1998. (Pubitemid 28292183)
11. M. D. Humphries, K. Gurney, et al., "The brainstem reticular formation is a small-world, not scale-free, network," Proc. of the Royal Society B: Biological Sciences, Vol.273, No.1585, pp. 503-511, 2006. (Pubitemid 46780559)
12. S. Micheloyannis, E. Pachou, et al., "Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis," Neuroscience Letters, Vol.402, No.3, pp. 273-277, 2006. (Pubitemid 43870135)
13. R. Palaniappan, P. Raveendran, et al., "VEP optimal channel selection using genetic algorithm for neural network classification of alcoholics," IEEE Trans. on Neural Networks, Vol.13, No.2, pp. 486-491, 2002. (Pubitemid 34475050)
14. M. Rangaswamy, B. Porjesz, et al., "Resting EEG in offspring of male alcoholics: beta frequencies," Int. J. of Psychophysiology, Vol.51, No.3, pp. 239-251, 2004. (Pubitemid 38220938)
15. K. Ravi and R. Palaniappan, "Neural network classification of late gamma band electroencephalogram features," Soft Computing -A Fusion of Foundations, Methodologies and Applications, Vol.10, No.2, pp. 163-169, 2006. (Pubitemid 43055134)
16. J. Theiler, "Spurious dimension from correlation algorithms applied to limited time-series data," Physical Review A, Vol.34, No.3, pp. 2427-2432, 1986.
17. C. J. Stam and B. W. van Dijk, "Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets," Physica D: Nonlinear Phenomena, Vol.163, No.3, pp. 236-251, 2002. (Pubitemid 34201314)
18. E. J. Sanz-Arigita et al., "Loss of 'Small-World' Networks in Alzheimer's Disease: Graph Analysis of fMRI Resting-State Functional Connectivity," PLoS ONE, Vol.5, p. e13788, 2010.
19. F. Takens, "Detecting strange attractors in turbulence Dynamical Systems and Turbulence," Warwick 1980, D. Rand and L.-S. Young (Eds.), Springer Berlin/Heidelberg, Vol.898, pp. 366-381, 1981.
20. H. N. Gabow, "An Efficient Implementation of Edmonds Algorithm for Maximum Matching," JACM, Vol.23, No.2, pp. 221-234, 1976.
21. P. Tichavsky and Z. Koldovsky, "Optimal pairing of signal components separated by blind techniques," IEEE Signal Processing Letters, Vol.11, No.2, pp. 119-122, 2004.
22. A. Dapena, M. F. Bugallo, and L. Castedo, "Separation of convolutive mixtures of temporally-white signals: a novel frequencydomain approach," In: Proc. Int. Conf. Independent Component Analysis and Blind Source Separation (ICA), San Diego, USA, pp. 315-320, 2001.