Share This Article:

EEGbands: A Computer Program to Statistically Analyze Parameters of Electroencephalographic Signals

Abstract Full-Text HTML Download Download as PDF (Size:1548KB) PP. 308-324
DOI: 10.4236/jbbs.2014.47032    3,122 Downloads   4,002 Views   Citations

ABSTRACT

The quantitative analysis of electroencephalographic activity (EEG) is a useful tool for the study of changes in brain electrical activity during cognitive and behavioral functions in several experimental conditions. Their recording and analysis are currently carried out primarily through the use of computer programs. This paper presents a computerized program (EEGbands) created for Windows operating systems using the Delphi language, and designed to analyze EEG signals and facilitate their quantitative exploration. EEGbands applies Rapid Fourier Transformation to the EEG signals of one or more groups of subjects to obtain absolute and relative power spectra. It also calculates both interhemispheric and intrahemispheric correlation and coherence spectra and, finally, applies parametrical statistical analysis to these spectral parameters calculated for wide frequency EEG bands. Unlike other programs, EEGbands is simple and inexpensive, and rapidly and precisely generates results files with the corresponding statistical significances. The efficacy and versatility of EEGbands allow it to be easily adapted to different experimental and clinical needs.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Guevara, M. , Sanz-Martin, A. and Hernández-González, M. (2014) EEGbands: A Computer Program to Statistically Analyze Parameters of Electroencephalographic Signals. Journal of Behavioral and Brain Science, 4, 308-324. doi: 10.4236/jbbs.2014.47032.

References

[1] Niedermeyer, E. (1999) The Normal EEG of the Waking Adult. Electroencephalography. Lippincott Williams y Wilkins, Baltimore.
[2] Corsi-Cabrera, M., Guevara, M.A., Del Río-Portilla, Y., Arce, C. and Villanueva-Hernández, Y. (2000) EEG Bands during Wakefulness, Slow-Wave and Paradoxical Sleep as a Result of Principal Component Analysis in Man. Sleep, 23, 738-744.
[3] Solís-Ortiz, S., Ramos, J., Arce, C., Guevara, M.A. and Corsi-Cabrera, M. (1994) EEG Oscillations during Menstrual Cycle. International journal of neuroscience, 76, 279-292.
http://dx.doi.org/10.3109/00207459408986010
[4] Sanz-Martin, A., Guevara, M.A., Amezcua, C., Santana, G. and Hernández-González, M. (2011) Effects of Red Wine on the Electrical Activity and Functional Coupling between Prefrontal-Parietal Cortices in Young Men. Appetite, 57, 84-93.
http://dx.doi.org/10.1016/j.appet.2011.04.004
[5] Hernández-González, M., Martínez-Pelayo, M., Arteaga Silva, M., Bonilla-Jaime, H. and Guevara, M.A. (2009) Ethanol Changes the Electroencephalographic Correlation of the Ventral Tegmental Area and Nucleus Accumbens, Components of the Mesoaccumbens System in Rats. Pharmacology Biochemistry and Behavior, 92, 124-130.
http://dx.doi.org/10.1016/j.pbb.2008.10.020
[6] Hernández-González, M., Guevara, M.A., Cervantes, M., Moralí, G. and Corsi-Cabrera, M. (1998) Characteristic Frequency Bands of the Cortico-Frontal EEG during the Sexual Interaction of the Male Rat as a Result of Factorial Analysis. Journal of Physiology-Paris, 92, 43-50.
http://dx.doi.org/10.1016/S0928-4257(98)80022-3
[7] Guevara, M.A., Martinez-Pelayo, M., Arteaga Silva, M., Bonilla-Jaime, H. and Hernández-González, M. (2008) Electrophysiological Correlates of the Mesoaccumbens System during Male Rat Sexual Behaviour. Physiology & Behavior, 95, 545-552.
http://dx.doi.org/10.1016/j.physbeh.2008.07.025
[8] Hernandez-Gonzalez, M., Navarro-Meza, M., Prieto-Beracoechea, C.A. and Guevara, M.A. (2005) Electrical Activity of Prefrontal Cortex and Ventral Tegmental Area during Rat Maternal Behavior. Behavioural Processes, 70, 132-143.
http://dx.doi.org/10.1016/j.beproc.2005.06.002
[9] Guevara, M.A., Rizo Martínez, L.E., Robles Aguirre, F.A. and Hernández González, M. (2012) Prefrontal-Parietal Correlation during Performance of the Towers of Hanoi Task in Male Children, Adolescents and Young Adults. Developmental Cognitive Neuroscience, 2, 129-138.
[10] Guevara, M.á., González, M.H., Martínez, L.E.R. and Aguirre, F.A.R. (2013) Performance of the Towers of Hanoi task and Cortical Electroencephalographic Power Changes Associated with Infancy, Adolescence, and Early Adulthood. Experimental brain research, 231, 315-324.
http://dx.doi.org/10.1007/s00221-013-3693-z
[11] Sanz-Martin, A., Hernández-González, M., Guevara, M.A., Santana, G., Gumá-Díaz, E. and Amezcua, C. (2012) Effects of Alcohol on the Performance of the Tower of London Task in Relation to the Menstrual Cycle: An Electroencephalographic Study. Behavioural pharmacology, 23, 637-649.
http://dx.doi.org/10.1097/FBP.0b013e3283584748
[12] Sanz-Martin, A., Hernandez-Gonzalez, M., Guevara, M.A., Santana, G. and Guma-Diaz, E. (2014) Effect of Alcohol on Electrical Organisation in the Brain during a Visuospatial Working Memory Task and Its Relationship with the Menstrual Cycle. Revista de Neurologia, 58, 103-112.
[13] Ruiz-Díaz, M., Hernández-González, M., Guevara, M.A., Amezcua, C. and Ågmo, A. (2012) Prefrontal EEG Correlation during Tower of Hanoi and WCST Performance: Effect of Emotional Visual Stimuli. Journal of Sexual Medicine, 9, 2631-2640.
http://dx.doi.org/10.1111/j.1743-6109.2012.02782.x
[14] Grindel, O.M., Koptelov, I.M., Masherov, E.L. and Pronin, I.N. (1998) Foci of Pathological Activity in the Human Brain and Their Influence on the Spatial-Temporal Relationships of the EEG. Zhurnal Vysshei Nervoi Deiatelnosti Imeni I P Pavlova, 48, 671-686.
[15] Cespedes-Garcia, Y., González-Hernández, J.A., García-Fidalgo, J., Begueria-Santos, R.A. and Figueredo-Rodríguez, P. (2003) Interictal EEG Coherence in Patients with Partial Temporal Lobe Epilepsy. Revista de Neurología, 37, 1107-1111.
[16] Cerdan, L.F., Guevara, M.A., Sanz, A., Amezcua, C. and Ramos-Loyo, J. (2005) Brain Electrical Activity Changes in Treatment Refractory Schizophrenics after Olanzapine Treatment. International Journal of Psychophysiology, 56, 237-247.
http://dx.doi.org/10.1016/j.ijpsycho.2004.12.008
[17] Lazar, A.S., Lazar, Z.I., Biro, A., Gyori, M., Tarnok, Z., Prekop, C., Keszei, A, Stefanik, K., Gadoros, J., Halasz, P. and Bodizs, R. (2010) Reduced Fronto-Cortical Brain Connectivity during NREM Sleep in Asperger Syndrome: An EEG Spectral and Phase Coherence Study. Clinical Neurophysiology, 121, 1844-1854.
http://dx.doi.org/10.1016/j.clinph.2010.03.054
[18] Leveille, C., Barbeau, E.B., Bolduc, C., Limoges, E., Berthiaume, C., Chevrier, E., Mottron, L. and Godbout, R. (2010) Enhanced Connectivity between Visual Cortex and Other Regions of the Brain in Autism: A REM Sleep EEG Coherence Study. Autism Research, 3, 280-285.
http://dx.doi.org/10.1002/aur.155
[19] Adler, G., Brassen, S. and Jajcevic, A. (2003) EEG Coherence in Alzheimer’s Dementia. Journal of Neural Transmission, 110, 1051-1058.
http://dx.doi.org/10.1007/s00702-003-0024-8
[20] Pogarell, O., Teipel, S.J., Juckel, G., Gootjes, L., Moller, T., Burger, K., Leinsinger, G., Moller, H.J., Hegerl, U. and Hampel, H. (2005) EEG Coherence Reflects Regional Corpus Callosum Area in Alzheimer’s Disease. Journal of Neurology, Neurosurgery and Psychiatry, 76, 109-111.
http://dx.doi.org/10.1136/jnnp.2004.036566
[21] Abdullah, H., Maddage, N.C., Cosic, I. and Cvetkovic, D. (2010) Cross-Correlation of EEG Frequency Bands and Heart Rate Variability for Sleep Apnoea Classification. Medical and Biological Engineering and Computing, 48, 1261-1269.
http://dx.doi.org/10.1007/s11517-010-0696-9
[22] Aksahin, M., Aydin, S., Firat, H. and Erogul, O. (2010) Artificial Apnea Classification with Quantitative Sleep EEG Synchronization. Journal of Medical Systems, 36, 139-144.
[23] Teicher, M.H., Ito, Y., Glod, C.A., Andersen, S.L., Dumont, N. and Ackerman, E. (1997) Preliminary Evidence for Abnormal Cortical Development in Physically and Sexually Abused Children Using EEG Coherence and MRIa. Annals of the New York Academy of Sciences, 821, 160-175.
http://dx.doi.org/10.1111/j.1749-6632.1997.tb48277.x
[24] Thatcher, R.W. (1998) Normative EEG Databases and EEG Biofeedback. Journal of Neurotherapy, 2, 8-39.
http://dx.doi.org/10.1300/J184v02n04_02
http://www.tandfonline.com/doi/abs/10.1300/J184v02n04_02#.U1xaLNEU-TM
[25] Guevara, M.A., Lorenzo, I., Arce, C., Ramos, J. and Corsi-Cabrera, M. (1995) Inter and Intrahemispheric EEG Correlation during Sleep and Wakefulness. Sleep, 18, 257-265.
[26] Guevara, M.A., Ramos, J. and Corsi-Cabrera, M. (1997) Un Método Práctico para el Espectro de Correlación entre Señales Electroencefalográficas para Evaluar Relaciones Funcionales entre áreas Cerebrales. Revista Mexicana de Psicología, 14, 5-12.
http://www.sociedadmexicanadepsicologia.org/index.php/revista-mexicana-de-psicologia
[27] Shibasaki, H. and Nagamine, T. (2003) EEG (MEG)/EMG Correlation. In: Hallett, M., Ed., Movement Disorders: Handbook of Clinical Neurophysiology, Volume 1, Elsevier, 15-29.
[28] Byring, R.F., Haapasalo, S. and Salmi, T. (2004) Adolescents with Learning Disorders Have Atypical EEG Correlation Indices. II. Correlation Indices during Reading. Clinical Neurophysiology, 115, 2584-2592.
http://dx.doi.org/10.1016/j.clinph.2004.05.027
http://www.clinph-journal.com/article/S1388-2457(04)00226-3/abstract
[29] Brazier, M.A. and Casby, J.U. (1952) Cross-Correlation and Autocorrelation Studies of Electroencephalographic Potentials. Electroencephalography and Clinical Neurophysiology, 4, 201-211.
http://dx.doi.org/10.1016/0013-4694(52)90010-2
[30] French, C.C. and Beaumont, J.G. (1984) A Critical Review of EEG Coherence Studies of Hemisphere Function. International Journal of Psychophysiology, 1, 241-254.
http://dx.doi.org/10.1016/0167-8760(84)90044-8
[31] Grindel, O.M. (1965) The Significance of Correlation Analysis for Evaluation of the EEG in Man Mathematical Analysis of the Electrical Activity of the Brain. Harvard University Press, Cambridge.
[32] Thatcher, R.W. and Walker, R.A. (1980) EEG Coherence and Intelligence in Children. Electroencephalography & Clinical Neurophysiology, 49, S161.
[33] Shaw, J.C. (1981) An Introduction to the Coherence Function and Its Use in EEG Signal Analysis. Journal of Medical Engineering&Technology, 6, 279-288.
http://dx.doi.org/10.3109/03091908109009362
[34] Bendat, J.S. (1980) Engineering Applications of Correlation and Spectral Analysis. John Wiley & Sons, New York.
[35] Guevara, M.A. and Corsi-Cabrera, M. (1996) EEG Coherence or EEG Correlation? International Journal of Psycho-physiology, 23, 145-153.
http://dx.doi.org/10.1016/S0167-8760(96)00038-4
http://www.sciencedirect.com/science/article/pii/S0167876096000384
[36] Guevara, M.A. and Hernández-González, M. (2009) EEGmagic: programa para analizar señales electroencefalográficas. Revista Mexicana de Ingeniería Biomédica, 30, 41-53.
http://www.rmib.somib.org.mx/Vol30No1.html
[37] Guevara, M.A., Hernández-González, M., Sanz-Martin, A. and Amezcua, C. (2011) EEGcorco: A Computer Program to Simultaneously Calculate and Statistically Analyze EEG Coherence and Correlation. Journal of Biomedical Science and Engineering, 4, 774-787.
http://dx.doi.org/10.4236/jbise.2011.412096
http://www.scirp.org/journal/PaperInformation.aspx?paperID=9174
[38] Sánchez-Bruno, A. and Borges del Rosal, A. (2005)Transformación Z de Fisher para la determinación de intervalos de confianza del coeficiente de correlación de Pearson, Psicothema, 17, 148-153.
http://www.psicothema.com/pdf/3079.pdf
[39] Deeny, S.P., Hillman, C.H., Janelle, C.M. and Hatfield, B.D. (2003) Cortico-Cortical Communication and Superior Performance in Skilled Marksmen: An EEG coherence Analysis. Journal of Sport & Exercise Psychology, 25, 188-204.
[40] Brigham, E.O. (1974) The Fast Fourier Transform. Prentice-Hall, Inc., Englewood Cliffs.
[41] Kirk, R. (1968) Experimental Design: Procedures for the Behavioral Sciences. Brooks/Cole, Belmont.

  
comments powered by Disqus

Copyright © 2018 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.