Age-dependent features of EEG-reactivity-Spectral, complexity, and network characteristics

Neuroscience Letters

Volumn 479, Issue 1, 2010, Pages 79-84

  Gaál, Zsófia Anna ^a   Boha, Roland ^a   Stam, Cornelis J ^b   Molnár, Márk ^a  

^a INSTITUTE FOR PSYCHOLOGY   (Hungary)

^b VU UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

Aging; EEG; Omega complexity; Small world network; Spectrum; Synchronization likelihood

Indexed keywords

ADULT; AGE; AGED; ALPHA RHYTHM; ARTICLE; BETA RHYTHM; BISPECTRAL INDEX; CONTROLLED STUDY; CORTICAL SYNCHRONIZATION; DELTA RHYTHM; ELECTROENCEPHALOGRAM; EVOKED RESPONSE; EYE MOVEMENT; FEMALE; HUMAN; HUMAN EXPERIMENT; JUVENILE; MALE; NERVE CELL NETWORK; NEUROTRANSMISSION; PRIORITY JOURNAL; SENESCENCE; SPECTROSCOPY; TASK PERFORMANCE; THETA RHYTHM; ADOLESCENT; AGING; BRAIN; ELECTROENCEPHALOGRAPHY; MIDDLE AGED; NERVE TRACT; PHYSIOLOGY; SIGNAL PROCESSING; VISION; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGING; ALPHA RHYTHM; BRAIN; CORTICAL SYNCHRONIZATION; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; MALE; MIDDLE AGED; NEURAL PATHWAYS; SIGNAL PROCESSING, COMPUTER-ASSISTED; VISUAL PERCEPTION; YOUNG ADULT;

EID: 77953694596     PISSN: 03043940     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neulet.2010.05.037     Document Type: Article

References (29)

1. Anokhin A.P., Birbaumer N., Lutzenberger W., Nikolaev A., Vogel F. Age increases brain complexity. Electroencephalogr. Clin. Neurophysiol. 1996, 99:63-68.
2. Arking R. The Biology of Aging 2006, Oxford University Press, Oxford.
3. Bullmore E., Sporns O. Complex brain networks: graph theoretical analysis of structural and functional systems. Nat. Rev. Neurosci. 2009, 10:186-198.
4. Bussiere T., Hof P.R. Morphological changes in human cerebral cortex during normal aging. Functional Neurobiology of Aging 2001, 77-84. Academic Press. P.R. Hof, C. Mobbs (Eds.).
5. Buzsaki G., Draguhn A. Neuronal oscillations in cortical networks. Science 2004, 304:1926-1929.
6. Buzsaki G., Bickford R.G., Ponomareff G., Thal L.J., Mandel R., Gage F.H. Nucleus basalis and thalamic control of neocortical activity in the freely moving rat. J. Neurosci. 1988, 8:4007-4026.
7. Carlsson A. Brain neurotransmitters in aging and dementia: similar changes across diagnostic dementia groups. Gerontology 1987, 33:159-167.
8. Czigler B., Csikos D., Hidasi Z., Gaal Zs.A., Csibri E., Kiss E., Salacz P., Molnar M. Quantitative EEG in early Alzheimer's disease patients-power spectrum and complexity features. Int. J. Psychophysiol. 2008, 68:75-80.
9. Duffy F.H., Albert M.S., McAnulty G., Garvey A.J. Age-related differences in brain electrical activity of healthy subjects. Ann. Neurol. 1984, 16:430-438.
10. Dustman R.E., Shearer D.E., Emmerson R.Y. Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency. Clin. Neurophysiol. 1999, 110:1399-1409.
11. Klimesch W. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis. Brain Res. Rev. 1999, 29:169-195.
12. Kondakor I., Brandeis D., Wackermann J., Kochi K., Koenig T., Frei E., Pascual-Marqui R.D., Yagyu T., Lehmann D. Multichannel EEG fields during and without visual input: frequency domain model source locations and dimensional complexities. Neurosci. Lett. 1997, 226:49-52.
13. Kononen M., Partanen J.V. Blocking of EEG alpha-activity during visual performance in healthy-adults-a quantitative study. Electroencephalogr. Clin. Neurophysiol. 1993, 87:164-166.
14. Marciani M.G., Maschio M., Spanedda F., Caltagirone C., Gigli G.L., Bernardi G. Quantitative EEG evaluation in normal elderly subjects during mental processes: age-related changes. Int. J. Neurosci. 1994, 76:131-140.
15. Micheloyannis S., Pachou E., Stam C.J., Vourkas M., Erimaki S., Tsirka V. Using graph theoretical analysis of multi channel EEG to evaluate the neural efficiency hypothesis. Neurosci. Lett. 2006, 402:273-277.
16. Micheloyannis S., Pachou E., Stam C.J., Breakspear M., Bitsios P., Vourkas M., Erimaki S., Zervakis M. Small-world networks and disturbed functional connectivity in schizophrenia. Schizophr. Res. 2006, 87:60-66.
17. Micheloyannis S., Vourkas M., Tsirka V., Karakonstantaki E., Kanatsouli K., Stam C.J. The influence of ageing on complex brain networks: a graph theoretical analysis. Hum. Brain Mapp. 2009, 30:200-208.
18. Molnar M., Csuhaj R., Gaal Z.A., Czigler B., Ulbert I., Boha R., Kondakor I. Spectral characteristics and linear-nonlinear synchronization changes of different EEG frequency bands during the CNV. Psychophysiology 2008, 45:412-419.
19. Niedermeyer E. The normal EEG of the waking adult. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields 1999, 149-173. Lippincott Williams & Wilkins, Philadelphia. E. Niedermeyer, F. Lopes Da Silva (Eds.).
20. Rossini P.M., Rossi S., Babiloni C., Polich J. Clinical neurophysiology of aging brain: from normal aging to neurodegeneration. Prog. Neurobiol. 2007, 83:375-400.
21. Smit D.J., Boersma M., van Beijsterveldt C.E., Posthuma D., Boomsma D.I., Stam C.J., de Geus E.J. Endophenotypes in a dynamically connected brain. Behav. Genet. 2010.
22. Smit D.J, Boersma M., van Beijsterveldt C.E., Posthuma D., Boomsma D.I., Stam C.J., de Geus E.J. Endophenotypes in a dynamically connected brain. Behav. Genet. 2010.
23. Stam C.J. Functional connectivity patterns of human magnetoencephalographic recordings: a 'small-world' network?. Neurosci. Lett. 2004, 355:25-28.
24. Stam C.J., Reijneveld J.C. Graph theoretical analysis of complex networks in the brain. Nonlin. Biomed. Phys. 2007, 1:3.
25. Stam C.J., van Dijk B.W. Synchronization likelihood: an unbiased measure of generalized synchronization in multivariate data sets. Phys. D-Nonlin. Phenom. 2002, 163:236-251.
26. Tononi G., Edelman G.M., Sporns O. Complexity and coherency: integrating information in the brain. Trends Cogn. Sci. 1998, 2:474-484.
27. van der Hiele K., Bollen E.L., Vein A.A., Reijntjes R.H., Westendorp R.G., van Buchem M.A., Middelkoop H.A., van Dijk J.G. EEG markers of future cognitive performance in the elderly. J. Clin. Neurophysiol. 2008, 25:83-89.
28. Wackermann J. Towards a quantitative characterisation of functional states of the brain: from the non-linear methodology to the global linear description. J. Psychophysiol. 1999, 34:65-80.
29. Watts D.J., Strogatz S.H. Collective dynamics of 'small-world' networks. Nature 1998, 393:440-442.