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Electroencephalograms of patients with initial signs of depression: Independent component analysis

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Abstract

Independent component analysis (ICA) of 19-channel background EEG was performed in 111 patients with the early signs of depressive disorders and in 526 healthy subjects. The power spectra of the independent components were compared in the depressive patients and in healthy subjects at the eyes closed and eyes opened states. Statistically significant differences between the groups were detected in three frequency bands: θ (4–7.5 Hz), α (7.5–14 Hz), and β (14–20 Hz). Increased θ and α activities in parietal and occipital derivations of depressive patients may have been caused by a reduced cortical activity in the projection of these derivation. Diffuse enhancement of the β activity may be correlated with anxiety symptoms that are pronounced in the clinical picture of depressive disorders at early stages of the disease. ICA used to compare quantitative EEG parameters in different groups of patients and in healthy persons makes it possible to localize the differences more accurately than the traditional analysis of EEG spectra.

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References

  1. Schaffer, C.E., Davidson, R.V., and Saron, C., Frontal and Parietal Electroencephalogram Asymmetry in Depressed and Nondepressed Subjects, Biol. Psychiatry, 1983, vol. 18, p. 752.

    Google Scholar 

  2. Henriques, J.B. and Davidson, R.J., Regional Brain Electrical Asymmetries Discriminate between Previously Depressed and Healthy Control Subjects, J. Abnorm. Psychol., 1990, vol. 99, p. 22.

    Article  CAS  PubMed  Google Scholar 

  3. Henriques, J.B. and Davidson, R.J., Left Frontal Hypoactivation in Depression, J. Abnorm. Psychol, 1991, vol. 100, p. 535.

    Article  CAS  PubMed  Google Scholar 

  4. Roemer, R.A., Shagass, C., Dubin, W.R., et al., Quantitative EEG in Elderly Depressives, Brain Topogr., 1992, vol. 4, p. 285.

    Article  CAS  PubMed  Google Scholar 

  5. Allen, J.J., Iacono, W.G., Depue, R.A., and Arbisi, P., Regional Electroencephalographic Asymmetries in Bipolar Seasonal Affective Disorder before and after Exposure to Bright Light, Biol. Psychiatry, 1993, vol. 33, p. 642.

    Article  CAS  PubMed  Google Scholar 

  6. Davidson, R.J., Cerebral Asymmetry, Emotioin, and Affective Style, in Brain Asymmetry, Davidson, R. and Hughdah, K., Eds., Cambridge: MIT, 1995, p. 361.

    Google Scholar 

  7. Davidson, R.J., Anterior Electrophysiological Asymmetries, Emotion, and Depression: Conceptual and Methodological Conundrums, Psychophysiology, 1998, vol. 35, p. 607.

    Article  CAS  PubMed  Google Scholar 

  8. Tomarken, A.J. and Keener, A.D., Frontal Brain Asymmetry and Depression: A Self-Regulatory Perspective, Cognit. Emot., 1998, vol. 12, p. 387.

    Article  Google Scholar 

  9. Davidson, R.J and Henriques, J.B., The Neurophysiology of Emotion, Borod, J., Ed., New York: Oxford Univ. Press, 2000.

    Google Scholar 

  10. Davidson, R.J., Lewis, D.A., Alloy, L.B., et al., Neural and Behavioral Substrates of Mood and Mood Regulation, Biol. Psychiatry, 2002, vol. 52, p. 478.

    Article  PubMed  Google Scholar 

  11. Brenner, R.P., Ulrich, R.F., Spiker, D.G., et al., Computerized EEG Spectral Analysis in Elderly Normal, Demented and Depressed Subjects, EEG Clin. Neurophysiol., 1988, vol. 64, p. 483.

    Article  Google Scholar 

  12. John, E.R., Pricep, L.S., Friedman, J., and Easton, P., Neurometrics: Computer-Assisted Differential Diagnosis of Brain Dysfunction, Science, 1988, vol. 293, p. 162.

    Article  Google Scholar 

  13. Lieber, A.L. and Newbury, N.D., Diagnosis and Subtyping of Depressive Disorders by Quantitative Electroencephalography: III. Discriminating Unipolar from Bipolar Depression, Hillside J. Clin. Psychiatry, 1988, vol. 10, p. 165.

    CAS  PubMed  Google Scholar 

  14. Pollock, V.E. and Schneider, L.S., Topographic Quantitative EEG in Elderly Subjects with Major Depression, Psychophysiology, 1990, vol. 27, p. 438.

    Article  CAS  PubMed  Google Scholar 

  15. Bruder, G.E., Fong, R., Tenke, C.E., et al., Regional Brain Asymmetries in Major Depression with or without an Anxiety Disorder: a Quantitative EEG Study, Biol. Psychiatry, 1997, vol. 41, p. 939.

    Article  CAS  PubMed  Google Scholar 

  16. Kentgen, L.M., Tenke, C.E., Pine, D.S., et al., Electroencephalographic Asymmetries in Adolescents with Major Depression: Influence of Comorbidity with Anxiety Disorders, J. Abnorm. Psychol., 2000, vol. 109, p. 797.

    Article  CAS  PubMed  Google Scholar 

  17. Volf, N.V. and Passynkova, N.R., EEG Mapping in Seasonal Affective Disorder, J. Affect. Disord., 2002, vol. 72, p. 61.

    Article  PubMed  Google Scholar 

  18. Kwon, J.S., Youn, T., and Jung, H.Y., Right Hemisphere Abnormalities in Major Depression: Quantitative Electroencephalographic Findings before and After Treatment, J. Affect. Disord., 1996, vol. 40, p. 169.

    Article  CAS  PubMed  Google Scholar 

  19. Suzuki, H., Mori, T., Kimura, M., and Endo, S., Quantitative EEG Characteristics of the State of Depressive Phase and the State of Remission in Major Depression, Seishin Shinkeigaku Zasshi, 1996, vol. 98, p. 363.

    CAS  PubMed  Google Scholar 

  20. Flor-Henry, P., Lind, J.C., and Koles, Z.J., A Source-Imaging (Low-Resolution Electromagnetic Tomography) Study of the EEGs from Unmedicated Males with Depression, Psychiatry Res: Neuroimaging, 2004, vol. 130, p. 191.

    Article  PubMed  Google Scholar 

  21. Yamada, M., Kimura, M., Mori, T., and Endo, S., EEG Power and Coherence in Presenile and Senile Depression. Characteristic Findings Related to Differences between Anxiety Type and Retardation Type, Nippon Ika Daigaku Zasshi, 1995, vol. 62, p. 176.

    CAS  PubMed  Google Scholar 

  22. Lieber, A.L., Diagnosis and Subtyping of Depressive Disorders by Quantitative Electroencephalography: II. Interhemispheric Measures Are Abnormal in Major Depressives and Frequency Analysis May Discriminate Certain Subtypes, Hillside J. Clin. Psychiatry, 1988, vol. 10, p. 84.

    CAS  PubMed  Google Scholar 

  23. Heller, W.J. and Nitschke, J.B., The Puzzle of Regional Brain Activity in Depression and Anxiety: The Importance of Subtypes and Comorbidity, Cognit. Emot., 1998, vol. 12, p. 421.

    Article  Google Scholar 

  24. Reid, S.A., Duke, L.M., and Allen, J.J., Resting Frontal Electroencephalographic Asymmetry in Depression: Inconsistencies Suggest the Need to Identify Mediating Factors, Psychophysiology, 1998, vol. 35, p. 389.

    Article  CAS  PubMed  Google Scholar 

  25. Debener, S., Beauducel, A., Nessler, D., et al., Is Resting Anterior EEG Alpha Asymmetry a Trait Marker for Depression? Findings for Healthy Adults and Clinically Depressed Patients, Neuropsychobiology, 2000, vol. 41, p. 31.

    Article  CAS  PubMed  Google Scholar 

  26. Makeig, S., Bell, A.J., Jung, T.P., and Sejnowski, T.J., Independent Component Analysis of Electroencephalographic Data, Adv. Neural Inf. Process. Syst., 1996, vol. 8, p. 145.

    Google Scholar 

  27. Vigário, R.N., Extraction of Ocular Artifacts from EEG Using Independent Component Analysis, EEG Clin. Neurophysiol., 1997, vol. 103, p. 395.

    Article  Google Scholar 

  28. Debener, S., Makeig, S., Delorme, A., and Engel, A.K., What Is Novel in the Novelty Oddball Paradigm? Functional Significance of the Novelty P3 Event-Related Potential as Revealed by Independent Component Analysis, Brain Res. Cogn. Brain Res., 2005, vol. 22, p. 309.

    Article  PubMed  Google Scholar 

  29. Onton, J. and Makeig, S., Information-Based Modeling of Event-Related Brain Dynamics, Prog. Brain Res., 2006, vol. 159, p. 99.

    Article  PubMed  Google Scholar 

  30. Onton, J., Westerfield, M., Townsend, J., and Makeig, S., Imaging Human EEG Dynamics Using Independent Component Analysis, Neurosci. Biobehav. R, 2006, vol. 30, p. 808.

    Article  Google Scholar 

  31. Jung, T.P., Makeig, S., McKeown, M., et al., Imaging Brain Dynamics Using Independent Component Analysis, Proc. IEEE, 2001, vol. 89, no. 7, p. 1107.

    Article  Google Scholar 

  32. Bell, A.J. and Sejnowski, T.J., An Information-Maximization Approach to Blind Separation and Blind Deconvolution, Neural Comput., 1995, vol. 7, p. 1129.

    Article  CAS  PubMed  Google Scholar 

  33. Hung, C.I., Wang, P.S., Soong, B.W., et al., Blind Source Separation of Concurrent Disease-Related Patterns from EEG in Creutzfeldt-Jakob Disease for Assisting Early Diagnosis, Ann. Biomed. Eng., 2007, vol. 35, no. 12, p. 2168.

    Article  PubMed  Google Scholar 

  34. Leal, A., Dias, A., and Vieira, J., Analysis of the EEG Dynamics of Epileptic Activity in Gelastic Seizures Using Decomposition in Independent Components, Clin. Neurophysiol, 2006, vol. 117, no. 7, p. 1595.

    Article  PubMed  Google Scholar 

  35. Iriarte, J., Urrestarazu, E., Artieda, J., et al., Independent Component Analysis in the Study of Focal Seizures, J. Clin. Neurophysiol., 2006, vol. 23, no. 6, p. 551.

    Article  PubMed  Google Scholar 

  36. Milne, E., Scope, A., Pascalis, O., et al., Independent Component Analysis Reveals Atypical Electroencephalographic Activity during Visual Perception in Individuals with Autism, Biol. Psychiatry, 2009, vol. 65, no. 1, p. 22.

    Article  PubMed  Google Scholar 

  37. Derksen, J., Primary Care Psychologists in the Netherlands: 30 Years of Experience, Prof. Psychol: Res. Pract., 2009, vol. 40, p. 493.

    Google Scholar 

  38. Lemos, M.S. and Fisch, B.J., The Weighted Average Reference Montage, EEG Clin. Neurophysiol., 1991, vol. 79, p. 361.

    Article  CAS  Google Scholar 

  39. Jung, T.P., Makeig, S., Westerfeld, M., et al., Removal of Eye Activity Artifacts from Visual Event-Related Potentials in Normal and Clinical Subjects, Clin. Neurophysiol., 2000, vol. 111, p. 1745.

    Article  CAS  PubMed  Google Scholar 

  40. Tereshchenko, E.P., Ponomarev, V.A., Kropotov, Yu.D., and Myuller, A., Comparative Efficiencies of Different Methods for Removing Blink Artifacts in Analyzing Quantitative Electroencephalograms and Event-Related Potentials, Fiziol. Chel., 2009, vol. 35, no. 2, p. 124 [Human Physiol. (Engl. Transl.), vol. 35, no. 2, p. 241].

    CAS  Google Scholar 

  41. Grin-Yatsenko, V.A., Baas, I., Ponomarev, V.A., and Kropotov, J.D., EEG Power Spectra at Early Stages of Depressive Disorders, J. Clin. Neurophysiol, 2009, vol. 26, p. 401.

    Article  PubMed  Google Scholar 

  42. Klimesch, W., EEG Alpha and Theta Oscillations Reflect Cognitive and Memory Performance: a Review and Analysis, Brain Res. Rev., 1999, vol. 29, p. 169.

    Article  CAS  PubMed  Google Scholar 

  43. Davidson, R.J., Chapman, J.P., and Chapman, L.J., Task-Dependent EEG Asymmetry Discriminates between Depressed and Non-Depressed Subjects, Psychophysiology, 1987, vol. 24, p. 585.

    Google Scholar 

  44. Fingelkurts, A.A., Fingelkurts, A.A., Rytsälä, Composition of Brain Oscillations in Ongoing EEG during Major Depression Disorder, Neurosci. Res., 2006, vol. 56, p. 133.

    Article  PubMed  Google Scholar 

  45. Davidson, R.J., Schaffer, C.E., and Saron, C., Effects of Lateralized Presentations of Faces on Self-Reports of Emotion and EEG Asymmetry in Depressed and Non-Depressed Subjects, Psychophysiology, 1985, vol. 22, p. 353.

    Article  CAS  PubMed  Google Scholar 

  46. von Knorring, L., Perris, C., Goldstein, L., et al., Intercorrelations between Different Computer-Basedmeasures of the EEG Alpha Amplitude and Its Variability Over Time and Their Validity in Differentiating Healthy Volunteers from Control Patients, Adv. Biol. Psychiatry, 1983, vol. 13, p. 172.

    Google Scholar 

  47. Shankman, S.A. and Klein, D.N., The Relation between Depression and Anxiety: An Evaluation of the Tripartite, Approach-Withdrawal and Valence-Arousal Models, Clinic Psychol. Rev., 2003, vol. 23, p. 605.

    Article  Google Scholar 

  48. Fawcett, J. and Kravitz, H.M., Anxiety Syndromes and Their Relationship to Depressive Illness, J. Clin. Psychiatry, 1983, vol. 44, p. 8.

    CAS  PubMed  Google Scholar 

  49. Goldberg, R.J., Diagnostic Dilemmas Presented by Patients with Anxiety and Depression, Am. J. Med, 1995, vol. 98, p. 278.

    Article  CAS  PubMed  Google Scholar 

  50. Zuckerman, M., Vulnerability to Psychopathology: A BioSocial Model, Washington, D. C: American Psychological Association, 1999.

    Book  Google Scholar 

  51. Lenze, E.J., Mulsant, B.H., Shear, M.K., et al., Comorbidity of Depression and Anxiety Disorders in Later Life, Depress. Anxiety, 2001, vol. 14, p. 86.

    Article  CAS  PubMed  Google Scholar 

  52. Gorman, J.M., Comorbid Depression and Anxiety Spectrum Disorders, Depress. Anxiety, 2005, vol. 4, p. 160.

    Article  Google Scholar 

  53. Porjesz, B., Almasy, L., Edenberg, H.J., et al., Linkage Disequilibrium between the Beta Frequency of the Human EEG and a GABAA Receptor Gene Locus, Proc. Natl. Acad. Sci. USA, 2002, vol. 99, p. 3729.

    Article  CAS  PubMed  Google Scholar 

  54. Cook, I.A., O’Hara, R., Uijtdehaage, S.H., et al., Assessing the Accuracy of Topographic EEG Mapping for Determining Local Brain Function, EEG Clin. Neurophysiol., 1998, vol. 107, p. 408.

    Article  CAS  Google Scholar 

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Authors and Affiliations

  1. Bechtereva Institute of the Human Brain, Russian Academy of Science, St. Petersburg, 197376, Russia

    V. A. Grin-Yatsenko, V. A. Ponomarev & Ju. D. Kropotov

  2. Dutch Organization of Psychologists, Rotterdam, the Netherlands

    I. Baas

  3. Institute of Psychology, Norwegian University of Science and Technology, Trondheim, Norway

    Ju. D. Kropotov

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  1. V. A. Grin-Yatsenko
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  2. I. Baas
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  3. V. A. Ponomarev
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  4. Ju. D. Kropotov
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Original Russian Text © V.A. Grin-Yatsenko, I. Baas, V.A. Ponomarev, Ju.D. Kropotov, 2011, published in Fiziologiya Cheloveka, 2011, Vol. 37, No. 1, pp. 45–55.

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Grin-Yatsenko, V.A., Baas, I., Ponomarev, V.A. et al. Electroencephalograms of patients with initial signs of depression: Independent component analysis. Hum Physiol 37, 39–48 (2011). https://doi.org/10.1134/S0362119710051019

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