Automated EEG analysis: Characterizing the posterior dominant rhythm

Journal of Neuroscience Methods

Volumn 200, Issue 1, 2011, Pages 86-93

  Lodder, Shaun S ^a   van Putten, Michel J A M ^a,b  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b MEDISCH SPECTRUM TWENTE   (Netherlands)

Author keywords

Certainty; Computerized interpretation; Electroencephalography; Posterior dominant rhythm

Indexed keywords

ACTION POTENTIAL; ADOLESCENT; ADULT; AGED; ARTICLE; CHILD; ELECTROENCEPHALOGRAM; FEMALE; FREQUENCY ANALYSIS; HUMAN; INFANT; MAJOR CLINICAL STUDY; MALE; POSTERIOR DOMINANT RHYTHM; PRESCHOOL CHILD; PRIORITY JOURNAL; SCHOOL CHILD; VISION; VISUAL STIMULATION;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALPHA RHYTHM; CEREBRAL CORTEX; CHILD; CHILD, PRESCHOOL; ELECTROENCEPHALOGRAPHY; FEMALE; HUMANS; INFANT; MALE; MIDDLE AGED; MODELS, NEUROLOGICAL; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; YOUNG ADULT;

EID: 79960894541     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2011.06.008     Document Type: Article

References (42)

1. Arciniegas D.B. Clinical electrophysiologic assessments and mild traumatic brain injury: state-of-the-science and implications for clinical practice. Int J Psychophysiol 2011.
2. Aurlien H., Gjerde I.O., Aarseth J.H., Eldøen G., Karlsen B., Skeidsvoll H., et al. EEG background activity described by a large computerized database. Clin Neurophysiol 2004, 115(3):665-673.
3. Aurlien H., Gjerde I.O., Gilhus N.E., Hovstad O.G., Karlsen B., Skeidsvoll H. A new way of building a database of EEG findings. Clin Neurophysiol 1999, 110(5):986-995.
4. Babiloni C., Lizio R., Vecchio F., Frisoni G.B., Pievani M., Geroldi C., et al. Reactivity of cortical alpha rhythms to eye opening in mild cognitive impairment and Alzheimer's disease: an EEG study. J Alzheimer's Dis 2010, 22(4):1047-1064.
5. Babiloni C., Vecchio F., Bultrini A., Luca Romani G., Rossini P.M. Pre- and poststimulus alpha rhythms are related to conscious visual perception: a high-resolution EEG study. Cerebral Cortex 2006, 16(12):1690-1700.
6. Berger H. Uber das elektrenkephalogramm des menschen. Arch Psychiatr Nervenkr 1929, 87:527-570.
7. Brodsky B.E., Darkhovsky B.S., Kaplan A.Y., Shishkin S.L. A nonparametric method for the segmentation of the EEG. Comput Methods Prog Biomed 1999, 60(2):93-106.
8. Broersen P. Automatic autocorrelation and spectral analysis 2006, Springer-Verlag New York, Inc. 1st ed.
9. Chiang A., Rennie C., Robinson P., Roberts J., Rigozzi M., Whitehouse R., et al. Automated characterization of multiple alpha peaks in multi-site electroencephalograms. J Neurosci Methods 2008, 168(2):396-411.
10. Chiang A.K.I., Rennie C.J., Robinson P.A., van Albada S.J., Kerr C.C. Age trends and sex differences of alpha rhythms including split alpha peaks. Clin Neurophysiol 2011, 1-13.
11. Cloostermans M.C., de Vos C.C., van Putten M.J.A.M. A novel approach for computer assisted EEG monitoring in the adult ICU. Clin Neurophysiol 2011.
12. Herrmann C.S., Arnold T., Visbeck A., Hundemer H.P., Hopf H.C. Adaptive frequency decomposition of EEG with subsequent expert system analysis. Comput Biol Med 2001, 31(6):407-427.
13. Hughes S.W., Crunelli V. Thalamic mechanisms of EEG alpha rhythms and their pathological implications. Neuroscientist 2005, 11(4):357-372.
14. Huupponen E., Himanen S.L., Värri A., Hasan J., Saastamoinen A., Lehtokangas M., et al. Fuzzy detection of EEG alpha without amplitude thresholding. Artif Intel Med 2002, 24(2):133-147.
15. Ishii R., Canuet L., Kurimoto R., Ikezawa K., Aoki Y., Azechi M., et al. Frontal shift of posterior alpha activity is correlated with cognitive impairment in early Alzheimer's disease: a magnetoencephalography-beamformer study. Psychogeriatrics 2010, 10(3):138-143.
16. Jin Y., Potkin S.G., Kemp A.S., Huerta S.T., Alva G., Thai T.M., et al. Therapeutic effects of individualized alpha frequency transcranial magnetic stimulation (alphaTMS) on the negative symptoms of schizophrenia. Schizophrenia Bull 2006, 32(3):556-561.
17. Kemp B., Blom H. Optimal detection of the alpha state in a model of the human electroencephalogram. Electroencephalogr Clin Neurophysiol 1981, 52(2):222-225.
18. Klimesch W. EEG-alpha rhythms and memory processes. Int J Psychophysiol 1997, 26(1-3):319-340.
19. Knyazeva M.G., Jalili M., Meuli R., Hasler M., De Feo O., Do K.Q. Alpha rhythm and hypofrontality in schizophrenia. Acta Psychiatr Scand 2008, 118(3):188-199.
20. Korotchikova I., Stevenson N.J., Walsh B.H., Murray D.M., Boylan G.B. Quantitative EEG analysis in neonatal hypoxic ischaemic encephalopathy. Clin Neurophysiol 2011.
21. Lee S.H., Park Y.M., Kim D.W., Im C.H. Global synchronization index as a biological correlate of cognitive decline in Alzheimer's disease. Neurosci Res 2010, 66(4):333-339.
22. Levenberg K. A method for the solution of certain non-linear problems in least squares. Q Appl Math 1944, 2:164-168.
23. Lopes da Silva F.H., Pijn J.P., Velis D., Nijssen P.C. Alpha rhythms: noise, dynamics and models. Int J Psychophysiol 1997, 26(1-3):237-249.
24. Marcuse L.V., Schneider M., Mortati K.A., Donnelly K.M., Arnedo V., Grant A.C. Quantitative analysis of the EEG posterior-dominant rhythm in healthy adolescents. Clin Neurophysiol 2008, 119(8):1778-1781.
25. Naruse Y., Matani A., Miyawaki Y., Okada M. Influence of coherence between multiple cortical columns on alpha rhythm: a computational modeling study. Hum Brain Mapp 2010, 31(5):703-715.
26. Nunez P.L., Ramesh S. Electric fields of the brain: the neurophysics of EEG 2005, Oxford University Press, USA. 2nd ed.
27. Orekhova E.V., Elam M., Orekhov V.Y. Unraveling superimposed EEG rhythms with multi-dimensional decomposition. J Neurosci Methods 2011, 195(1):47-60.
28. Robinson P., Loxley P., O'Connor S., Rennie C. Modal analysis of corticothalamic dynamics, electroencephalographic spectra, and evoked potentials. Phys Rev E 2001, 63(4):1-13.
29. Robinson P., Whitehouse R., Rennie C. Nonuniform corticothalamic continuum model of electroencephalographic spectra with application to split-alpha peaks. Phys Rev E 2003, 68(2):1-10.
30. Segalowitz S.J., Santesso D.L., Jetha M.K. Electrophysiological changes during adolescence: a review. Brain Cogn 2010, 72(1):86-100.
31. Segrave R.A., Thomson R.H., Cooper N.R., Croft R.J., Sheppard D.M., Fitzgerald P.B. Upper alpha activity during working memory processing reflects abnormal inhibition in major depression. J Affect Disord 2010, 127(1-3):191-198.
32. Sewards T.V., Sewards M.A. Alpha-band oscillations in visual cortex: part of the neural correlate of visual awareness?. Int J Psychophysiol 1999, 32(1):35-45.
33. Silva L.D. Neural mechanisms underlying brain waves: from neural membranes to networks. Electroencephalogr Clin Neurophysiol 1991, 79:81-93.
34. Spronk D., Arns M., Barnett K.J., Cooper N.J., Gordon E. An investigation of EEG, genetic and cognitive markers of treatment response to antidepressant medication in patients with major depressive disorder: a pilot study. J Affect Disord 2011, 128(1-2):41-48.
35. Stam C.J., Pijn J.P., Suffczynski P., Lopes da Silva F.H. Dynamics of the human alpha rhythm: evidence for non-linearity?. Clin Neurophysiol 1999, 110(10):1801-1813.
36. Steriade M., Gloor P., Llinas R. Basic mechanisms of cerebral rhythmic activities. Electroencephalography 1990, 76(6):481-508.
37. Thakor N.V., Tong S. Advances in quantitative electroencephalogram analysis methods. Annu Rev Biomed Eng 2004, 6:453-495.
38. van der Stelt O. Development of human EEG posterior alpha rhythms. Clin Neurophysiol 2008, 119(8):1701-1702.
39. van Putten M.J.A.M. The colorful brain: visualization of EEG background patterns. J Clin Neurophysiol 2008, 25(2):63-68.
40. van Putten M.J.A.M., Peters J.M., Mulder S.M., de Haas J.A.M., Bruijninckx C.M.A., Tavy D.L.J. A brain symmetry index (BSI) for online EEG monitoring in carotid endarterectomy. Clin Neurophysiol 2004, 115(5):1189-1194.
41. van Putten M.J.A.M., Tavy D.L.J. Continuous quantitative EEG monitoring in hemispheric stroke patients using the brain symmetry index. Stroke 2004, 35(11):2489-2492.
42. van Vugt M.K., Sederberg P.B., Kahana M.J. Comparison of spectral analysis methods for characterizing brain oscillations. J Neurosci Methods 2007, 162(1-2):49-63.