Complexity analysis of dense array EEG signal reveals sex difference

International Journal of Neuroscience

Volumn 115, Issue 4, 2005, Pages 445-460

  Pravitha, R ^a   Sreenivasan, R ^b,c   Nampoori, V P N ^a  

^a Department of Physics   (India)

^b FLORIDA ATLANTIC UNIVERSITY   (United States)

^c UNIVERSITY OF CAPE TOWN   (South Africa)

Author keywords

Approximate entropy; Complexity; EEG; Global linear measures; Sex difference; Time series analysis

Indexed keywords

ADULT; BRAIN CORTEX; ELECTROENCEPHALOGRAM; ENTROPY; FEMALE; GENDER; HUMAN; HUMAN EXPERIMENT; MALE; MENTAL TASK; NONLINEAR SYSTEM; NORMAL HUMAN; REVIEW; SEX DIFFERENCE; SIGNAL PROCESSING; STATISTICAL ANALYSIS; TASK PERFORMANCE; TIME SERIES ANALYSIS;

EID: 16244379812     PISSN: 00207454     EISSN: 15635279     Source Type: Journal    
DOI: 10.1080/00207450590520911x     Document Type: Review

References (33)

1. Allen, L. S., & Gorski, R. A. (1991). Sexual dimorphism of the anterior commissure and massa intermedia of the human brain. Journal of Computational Neurology, 312, 97-104.
2. Babiloni, F., Babiloni, C., Carducci, F., Gaudio, M. D., Onorati P., & Urbano, A. (1997). A high-resolution EEG method based on the correction of the surface Laplacian estimate for the subjects variable scalp thickness. Electroencephalography Clinical Neurophysiology, 103, 486-492.
3. Bhattacharya, J. (2000). Complexity analysis of spontaneous EEG. Acta Neurobiologia Experimental, 60, 495-501.
4. Byne, W., Bleier, R., & Houston, L. (1988). Variations in human corpus callosum do not predict gender. Behavioural Neuroscience, 102(2), 222-221.
5. Caplan, P. J., McPherson, C. M., & Tobin, P. (1985). Do sex-related differences in spatial abilities exist? American Psychologist, 40, 786-799.
6. Corsi-Cabrera, M., Herrera, P., & Malvido M. (1989). Correlation between EEG and cognitive abilities: Sex differences. International Journal of Neuroscience, 45, 133-141.
7. Edlinger, C., Wach, P., & Pfurtscheller, G. (1998). On the realization of an analytic high resolution EEG. IEEE Transactions on Biomedical Engineering, 45(6), 736-745.
8. Elbert, T., Ray, W. J., Kowalik, Z. J., Skinner, J. E., & Birbaumer N. (1994). Chaos and Physiology: Deterministic chaos in excitable cell assemblies. Physiological Reviews, 74(1), 1-97.
9. Geary, D. C. (1989). A model for representing gender differences in the pattern of cognitive abilities. American Psychologist, 44, 1155-1156.
10. Gevins, A. (1990). Dynamic patterns in multiple lead data. In J. Rohrbaugh, R. Johnson, and T. Parasraman (Ed.), Event-related brain potentials: Basic issues and applications (pp. 44-56). New York: Oxford University Press.
11. Gur, R. C., Turetsky, B. I., Matsui, M., Yan, M., Bilker, W., Hughett, P., & Gur, R. E. (1999). Sex differences in brain gray and white matter in healthy young adults: Correlations with cognitive performance. Journal of Neuroscience, 19(10), 4065-4072.
12. Indic, P., Pratap, R., Nampoori, V. P. N., & Pradhan, N. (1999). Significance of time scales in nonlinear dynamical analysis of EEG signals. International Journal of Neuroscience, 99, 181-194.
13. Kulynych, J. J., Vladar, K., Jones, D. W., & Weinberger, D. R. (1994). Gender differences in the normal lateralization of the supra-temporal cortex: MRI surface-rendering morphometry of Heschl's gyrus and the planum temporal. Cerebral Cortex, 4, 107-118.
14. Le Van Queyan, M., Martinerie, J., Baulac, M., & Varela F. (1999). Anticipating epileptic seizures in real time by a nonlinear analysis of similarity between EEG recordings. Computational Neuroscience, Neuroreport, 10, 2149-2155.
15. Lerner, D. E. (1996). Monitoring changing dynamics with correlation integrals: Case study of an epileptic seizure. Physica D, 97, 563-576.
16. Linn, M. C., & Petersen, A. C. (1985). Emergence and characterization of sex differences in spatial ability: A meta analysis. Child Development, 56, 1479-1498.
17. Meyers-Levy, J., & Maheswaran, D. (1991). Exploring differences in males' and females' processing strategies. Journal of Consumer Research, 18, 63-70.
18. Meyers-Levy, J., & Sternthal, B. (1991). Gender differences in the use of message cues and judgments. Journal of Marketing Research, 28, 84-96.
19. Pincus, S. M. (1991). Approximate entropy as a measure of system complexity. Proceedings of the National Academy of Science, USA, 88, 3017-3026.
20. Pincus, S. M., & Keefe, D. L. (1992). Quantification of hormone pulsatility via an approximate entropy algorithm. American Journal of Physiology. Endocrinology and Metabolism, 262, E741-E754.
21. Pravitha, R., & Nampoori, V. P. N. (2002). Coordination in the dynamics of the brain as inferred from EEG analysis. International Journal of Neuroscience, 112(10), 1245-1262.
22. Radhakrishnan, N., & Gangadhar, B. N. (1998). Estimating regularity in epileptic seizure time-series data. IEEE Engineering in Medicine and Biology, 17, 89-94.
23. Rapp, P. E. (1992). Chaos in the neurosciences: Cautionary tales from the frontier. Biologist, 40, 89-94.
24. Sadato, N., Ibañez, V., Deiber, M.-P., & Hallett, M. (2000). Gender difference in premotor activity during active tactile discrimination. NeuroImage, 11, 532-540.
25. Shaywitz, B. A., Shaywitz, S. E., Pugh, K. R., Constable, R. T., Skudlarski, P., Fulbright, R. K., Bronen, R. A., Fletcher, J. M., Shankweiler, D. P., Katz, L., & Core, J. C. (1995). Sex differences in the functional organization of the brain for language. Nature, 373, 607-609.
26. Srinivasan, R., Tucker, D. M., & Murias, M. (1998). Estimating the spatial Nyquist of the human EEG. Behaviour Research Methods, Instruments and Computers, 30(1), 8-19.
27. Stam, C. J., van Woerkom, T. C. A. M., & Pritchard, W. S. (1996). Use of nonlinear EEG measures to characterize EEG changes during mental activity. Electro-encephalography Clinical Neurophysiology, 99, 214-224.
28. Swaab, D. F., Chung, W. C. J., Kruijver, F. P. M., Hofman, M. A., & Ishunina, T. A. (2001). Structural and functional sex differences in the human hypothalamus. Hormones and Behavior, 40, 93-98.
29. Varela, F., Lachauz, J. P., Rodriguez, E., & Martinerie, J. (2001). The brain web: Phase synchronization and large scale integration. Nature Reviews, Neuroscience, 2, 229-239. (and references therein)
30. Wackermann, J. (1996). Beyond mapping: Estimating complexity of multichannel recording. Acta Neurobiologiae Experimentalis, 56, 197-208.
31. Wackermann, J. (1999). Towards a quantitative characterization of functional states of the brain: From the nonlinear methodology to the global linear description. International Journal of Psychophysiology, 34, 65-80.
32. Wang, J., & He, B. (1998). A computer simulation study of cortical imaging from scalp potentials. IEEE Transactions on Biomedical Engineering, 45, 724-735.
33. Wood, F. B., Flowers, D. L., & Neylor, C. E. (1991). Cerebral laterality in functional neuroimaging. In F. L. Ketterle (Ed.), Cerebral laterality: Theory and Research (pp. 103-116). Hillsdale, NJ: Lawrence Erlbaum Associates.