Psychiatry Research: Neuroimaging
Volume 146, Issue 3 , Pages 271-282 , 30 April 2006

Correlation of PET and qEEG in normal subjects

  • Kenneth R. Alper

      Affiliations

    • Brain Research Laboratories, Department of Psychiatry, New York, University Medical Center, New York, NY 10016, USA
    • Comprehensive Epilepsy Center, Department of Neurology, New York, University Medical Center, NY, USA
    • Corresponding Author InformationCorresponding author. Brain Research Laboratories, Department of Psychiatry, New York University Medical Center, 550 First Avenue, New York, NY 10016, USA. Tel.: +1 212 263 6287; fax: +1 212 263 6457.
  • ,
  • E. Roy John

      Affiliations

    • Brain Research Laboratories, Department of Psychiatry, New York, University Medical Center, New York, NY 10016, USA
    • Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA
  • ,
  • Jonathan Brodie

      Affiliations

    • Department of Psychiatry, New York University Medical Center, New York, NY, USA
  • ,
  • Wilfred Günther

      Affiliations

    • Department of Psychiatry, University of Munich, Munich, Germany
  • ,
  • Raoul Daruwala

      Affiliations

    • Brain Research Laboratories, Department of Psychiatry, New York, University Medical Center, New York, NY 10016, USA
  • ,
  • Leslie S. Prichep

      Affiliations

    • Brain Research Laboratories, Department of Psychiatry, New York, University Medical Center, New York, NY 10016, USA
    • Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY, USA

Received 5 May 2005 ,Revised 15 June 2005 ,Accepted 15 June 2005.

References 

  1. Ahn H, Prichep LS, John ER, Baird H, Trepetin M, Kaye H. Developmental equations reflect brain dysfunction. Science. 1980;210:1259–1262
  2. Alper K, Günther W, Prichep LS, John ER, Brodie J. Correlation of QEEG with PET in schizophrenia. Neuropsychobiology. 1998;38:50–56
  3. Alvarez A, Pascual R, Valdes P. EEG development equations confirmed for Cuban school children. Electroencephalography and Clinical Neurophysiology. 1987;67:330–332
  4. Andresen B. Multivariate statistical methods and their capability to demarcate psychophysiologically and neurophysiologically sound frequency components of human scalp EEG. In:  Zschocke G,  Speckmann G editor. Basic Mechanisms of the EEG. Berlin: Birkhauser; 1993;p. 317–352
  5. Arruda JE, Weiler MD, Valentino D, Willis WG, Rossi JS, Stern RA, et al. A guide for applying principal components analysis and confirmatory factor analysis to quantitative electroencephalogram data. International Journal of Psychophysiology. 1996;23:63–81
  6. Bartlett EJ, Brodie JD, Wolf AP, Chrisman DR, Laska E, Meissner M. Reproducibility of cerebral glucose metabolic measurements in resting human subjects. Journal of Cerebral Blood Flow and Metabolism. 1988;8:502–512
  7. Basar E, Basar-Eroglu C, Rosen B, Schutt A. A new approach to endogenous event related potentials in man: relation between EEG and P300 wave. International Journal of Neuroscience. 1984;26:161–180
  8. Basar-Eroglu C, Basar E, Demiralp T, Schurmann M. P300-response: possible psychophysiological correlates in delta and theta frequency channels. A review. International Journal of Psychophysiology. 1992;13:161–179
  9. Buchsbaum MS, Ingvar DH, Kessler R. Cerebral glucography with positron emission tomography. Archives of General Psychiatry. 1982;39:251–259
  10. Buchsbaum MS, DeLisi LE, Holcomb HH, Ingvar DH, Kessler R. Anteroposterior gradients in cerebral glucose use in schizophrenia and affective disorders. Archives of General Psychiatry. 1984;41:1159–1166
  11. Cook JA, O'Hara R, Uijtdebaage SHJ, Mandelkern M, Leuchter AF. Assessing the accuracy of topographic EEG mapping for determining local brain function. Electroencephalography and Clinical Neurophysiology. 1998;107:408–414
  12. Danos P, Guich SM, Abel L, Buchsbaum MS. EEG alpha rhythm and glucose metabolic rate in the thalamus in schizophrenia. Neuropsychobiology. 2001;43:265–272
  13. Diaz de Leon AE, Harmony T, Marosi E, Becker J, Alvarez A. Effect of different factors on EEG spectral parameters. International Journal of Neuroscience. 1988;43:123–131
  14. Duffy FH, Albert MS, McAnulty GB. The pattern of age-related differences in electrophysiological activity of healthy subjects. Neurobiology of Aging. 1993;14:73–74
  15. Duffy FH, Jones K, McAnulty GB, Albert M. Spectral coherence in normal adults: unrestricted principal components analysis. Clinical EEG and Electroencephalography. 1995;26:30–46
  16. Fein G, Galin D, Johnstone J, Yingling CD, Marcus M, Kiersch ME. EEG power spectrum in normal and dyslexic children: 1. Reliability during passive conditions. Electroencephalography and Clinical Neurophysiology. 1983;55:399–405
  17. Fein G, Galin D, Yingling CD, Johnstone J, Nelson MA. EEG spectra in 9–13 year old boys are stable over 1–3 years. Electroencephalography and Clinical Neurophysiology. 1984;58:517–518
  18. Fernandez T, Harmony T, Rodriguez M, Bernal J, Silva J, Reyes A, et al. EEG activation patterns during the performance of tasks involving different components of mental calculation. Electroencephalography and Clinical Neurophysiology. 1995;94:175–182
  19. Gasser T, Bacher P, Mochs J. Transformation towards the normal distribution of broad band spectral parameters of the EEG. Electroencephalography and Clinical Neurophysiology. 1982;53:119–124
  20. Goldman RI, Stern JM, Engel J, Cohen MS. Simultaneous EEG and fMRI of the alpha rhythm. NeuroReport. 2002;13:2487–2492
  21. Günther W. MRI–SPECT and PET–EEG findings on brain dysfunction in schizophrenia. Progress in Neuro-psychopharmacology & Biological Psychiatry. 1992;16:445–462
  22. Hamacher K, Coenen HH, Stocklin G. Efficient stereospecific synthesis of no-carrier-added 2-[18F]-fluoro-2-deoxy-d-glucose using aminopoly ether supported nucleophilic substitution. Journal of Nuclear Medicine. 1986;27:235–238
  23. Harmony T, Alvarez A, Pascual-Marqui R, Ramos A, Marosi E, Diaz de Leon A, et al. EEG maturation of children with different economic and psychosocial characteristics. International Journal of Neuroscience. 1987;31:103–113
  24. Harmony T, Fernández T, Silva J, Bernal J, Diaz-Comas L, Reyes A, et al. EEG delta activity: an indicator of attention to internal processing during performance of mental tasks. International Journal of Psychophysiology. 1996;24:161–171
  25. Harmony T, Fernandez T, Fernandez-Bouzas A, Silva-Pereyra J, Bosch J, Diaz-Comas L, et al. EEG changes during word and figure categorization. Clinical Neurophysiology. 2001;112:1486–1498
  26. Harmony T, Fernández T, Gersenowies J, Galan L, Fernandez-Bouzas A, Aubert A, et al. Specific EEG frequencies signal general common cognitive processes as well as specific task processes in man. International Journal of Psychophysiology. 2004;53:207–216
  27. Ingvar DH, Rosen I, Johannesson G. EEG related to cerebral metabolism and blood flow. Pharmakopsychiatrie, Neuro-Psychopharmakologie. 1979;12:200–209
  28. Intriligator J, Polich J. On the relationship between background EEG and P300 event-related potential. Biological Psychiatry. 1994;37:207–218
  29. John ER. The neurophysics of consciousness. Brain Research Reviews. 2002;39:1–28
  30. John ER, Prichep LS, Ahn H, Easton P, Fridman J, Kaye H. Neurometric evaluation of cognitive dysfunctions and neurological disorders in children. Progress in Neurobiology. 1983;21:239–290
  31. John ER, Prichep LS, Easton P. Normative data banks and neurometrics, basic concepts, methods and results of norm construction. In:  Gevins AS,  Remond A editor. Handbook of Electroencephalography and Clinical Neurophysiology. vol. I:New York: Elsevier; 1987;p. 449–495
  32. John ER, Prichep LS, Friedman J, Essig-Peppard T. Neurometric classification of patients with different psychiatric disorders. In:  Samson-Dollfus D editors. Statistics and Topography in Quantitative EEG. New York: Elsevier; 1988;p. 88–95
  33. John ER, Prichep LS, Ahn H, Kaye H, Brown D, Easton P, et al. Neurometric Evaluation of Brain Function in Normal and Learning Disabled Children. Ann Arbor, MI: University of Michigan Press; 1989;
  34. John ER, Prichep LS, Alper KR, Mas F, Cancro R, Easton P, et al. Quantitative electrophysiological characteristics and subtyping of schizophrenia. Biological Psychiatry. 1994;36:801–826
  35. John ER, Zhang Z, Brodie JD, Prichep LS. Statistical probability mapping of brain function and structure. In:  Thatcher RW,  Hallett M,  Zeffiro T,  John ER,  Huerta M editor. Functional Neuroimaging: Technical Foundations. New York: Academic Press; 1994;p. 137–143
  36. John ER, Easton P, Isenhart R, Allen P, Gulyashar A. Electrophysiological analysis of the registration, storage and retrieval of information in delayed matching from samples. International Journal of Psychophysiology. 1996;24:127–144
  37. Jonkman EJ, Poortvliet DCJ, Veering MM, DeWeerd AW, John ER. The use of neurometrics in the study of patients with cerebral ischemia. Electroencephalography and Clinical Neurophysiology. 1985;61:333–341
  38. Kaye H, John ER, Ahn H, Prichep LS. Neurometric evaluation of learning disabled children. International Journal of Neuroscience. 1981;13:15–25
  39. Kondacs A, Szabo M. Long-term intra-individual variability of the background EEG in normals. Clinical Neurophysiology. 1999;110:1708–1716
  40. Kuschinsky W. Is the EEG correlated with the brain metabolism and cerebral blood flow?. In: Basic Mechanisms of the EEG. 1993;p. 109–119
  41. Larson CL, Davidson RJ, Abercrombie HC, Ward RT, Schaefer SM, Jackson DC, et al. Relations between PET-derived measures of thalamic glucose and EEG alpha power. Psychophysiology. 1998;35:162–169
  42. Lindgren KA, Larson CL, Schaefer SM, Abercrombie HC, Ward RT, Holden JE, et al. Thalamic metabolic rate predicts EEG alpha power in healthy control subjects but not in depressed patients. Biological Psychiatry. 1999;45:943–952
  43. Llinas R, Ribary U. Consciousness and the brain. The thalamocortical discharge in health and disease. Annals of the New York Academy of Sciences. 2001;929:166–175
  44. Lopes da Silva F. Neural mechanisms underlying brain waves: from neural membranes to networks. Electroencephalography and Clinical Neurophysiology. 1991;79:81–93
  45. Matousek M, Petersen I. Norms for the EEG. In:  Kellaway P,  Petersen I editor. Automation of Clinical Electroencephalography. New York: Raven Press; 1973;p. 75–102
  46. Michel CM, Lehmann D, Henggeler B, Brandeis D. Localization of the sources of EEG delta, theta, and beta frequency bands using the FFT dipole approximation. Electroencephalography and Clinical Neurophysiology. 1992;82:38–44
  47. Michel CM, Henggeler B, Brandeis D, Lehmann D. Localization of sources of brain alpha/theta/delta activity and the influence of the mode of spontaneous mentation. Physiological Measurement. 1993;14:21–26
  48. Nagata K. Topographic EEG mapping in cerebrovascular disease. Brain Topography. 1989;2:119–128
  49. Nagata K, Yokoyama E, Hirata Y, Hatazawa J. Electroencephalographic correlates of cortical blood flow and metabolism in normal elderly subjects. In: The 8th IPEG Symposium: Abstracts. vol. 20:1994;
  50. Nuñez PL. Experimental connections between EEG data and the global wave theory. In:  Nuñez PL editors. Neocortical Dynamics and Human EEG Rhythms. London: Oxford University Press; 1995;p. 534–590
  51. Nuñez PL. Mind, brain and electroencephalography. In:  Nuñez PL editors. Neocortical Dynamics and Human EEG Rhythms. London: Oxford University Press; 1995;p. 133–194
  52. Oakes TR, Pizzagalli D, Hendrick AM, Horras KA, Larson CL, Abercrombie HC, et al. Functional coupling of simultaneous electrical and metabolic activity in the human brain. Human Brain Mapping. 2004;21:257–270
  53. Obrist WD, Sokoloff L, Lassen NA, Lane NH, Butler RN, Feinberg I. Relation of EEG to cerebral blood flow and metabolism in old age. Electroencephalography and Clinical Neurophysiology. 1963;15:610–619
  54. Oken BS, Chiappa KH. Statistical issues concerning computerized analysis of brainwave topography. Annals of Neurology. 1986;19:493–494
  55. Okyere JG, Ktonas PY, Meyer JS. Quantification of the alpha EEG modulation and its relation to cerebral blood flow. IEEE Transactions on Biomedical Engineering. 1986;33:690–696
  56. Pilgreen KL. Physiologic, medical and cognitive correlates of electroencephalography. In: Neocortical Dynamics and Human EEG. 1995;p. 195–248
  57. Pizzagalli D, Oakes TR, Davidson RJ. Coupling of theta activity and glucose metabolism in the human rostral anterior cingulate. An EEG/PET study of normal and depressed subjects. Psychophysiology. 2003;40:939–949
  58. Sadato N, Nakamura S, Oohashi T, Nishina E, Fuwamoto Y, Waki A. Neural networks for generation and suppression of alpha rhythm: a PET study. NeuroReport. 1998;9:893–897
  59. Schroeder J, Buchsbaum M, Siegel BV, Geider FJ, Haier RJ, Lohr J, et al. Patterns of cortical activity in schizophrenia. Psychological Medicine. 1994;24:947–955
  60. Schurmann M, Basar-Eroglu C, Kolev V, Basar E. Delta responses and cognitive processing: single-trial evaluations of human visual P300. International Journal of Psychophysiology. 2001;39:229–239
  61. Silberstein RB. Neuromodulation of neocortical dynamics. In:  Nuñez PL,  Thierry AM,  Glowinski PS,  Goldman-Rakic PS editor. Neocortical Dynamics and Human EEG Rhythms. London: Oxford University Press; 1995;p. 591–627
  62. Steriade M, Gloor P, Llinas RR, Lopes Da Silva F, Mesulam MM. Basic mechanisms of cerebral rhythmic activities. Electroencephalography and Clinical Neurophysiology. 1990;76:481–508
  63. Talairach J, Tournoux P. Co-Planar Stereotaxic Atlas of the Human Brain. New York: Thieme Medical Publishers; 1988;
  64. Tolonen U, Tournoux P. Comparison of quantitative EEG parameters from four different analysis techniques in evaluation of relationships between EEG and CBF in brain infarction. Electroencephalography and Clinical Neurophysiology. 1981;51:177–185
  65. Van Dijk JG, Caekebeke VJF, Zwinderman AH. Background EEG reactivity in auditory event-related potentials. Electroencephalography and Clinical Neurophysiology. 1992;83:44–51
  66. Veldhuizen RJ, Jonkman EJ, Poortvliet JDC. Sex differences in age regression parameters of healthy adults—normative data. Electroencephalography and Clinical Neurophysiology. 1993;86:377–384
  67. Volkow ND, Brodie JD, Wolf AP. Brain metabolism in predominantly never-treated schizophrenics before and after acute neuroleptic administration. Journal of Neurology, Neurosurgery and Psychiatry. 1986;49:1199–1201
  68. Weiner JM, Dunn OJ. Elimination of variates in discrimination problems. Biometrics. 1966;22:268–275
  69. Zuendorf G, Kerrouche N, Herholz K, Baron JC. Efficient principal component analysis for multivariate 3D voxel-based mapping of brain functional imaging data sets as applied to FDG-PET and normal aging. Human Brain Mapping. 2003;18:13–21

PII: S0925-4927(05)00210-6

doi: 10.1016/j.pscychresns.2005.06.008

Psychiatry Research: Neuroimaging
Volume 146, Issue 3 , Pages 271-282 , 30 April 2006