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Neurometric subtyping of depressive disorders

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Abstract

Many researchers have demonstrated electrophysiological abnormalities in patients with depression. EEG spectral features [1–6], amplitude, asymmetry, mean integrated amplitude [7–14], and coherence [15–19], as well as features of the evoked potential (EP) [10,20–23], have all been identified as important in describing depressive disorders. The vast differences between studies in both the methods of acquisition and analysis of data make it extremely difficult to summarize this large body of data.

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References

  1. Hurst LA, Mundy-Castle AC, Beerstecher DM (1954). The electroencephalogram in manic-depressive psychosis. J Ment Sci, 100, 220–240

    PubMed  CAS  Google Scholar 

  2. Perris C (1966). A study of bipolar (manic-depressive) and unipolar recurrent depressive psychoses. Acta Psychiat Scand Suppl,. 194, 118–152

    Article  CAS  Google Scholar 

  3. Knott V, Waters B, Lapierre Y, Gary R (1985). Neurophysiological correlates of sibling pairs discordant for bipolar affective disorder. Am J Psychiat, 142, 248–250

    PubMed  CAS  Google Scholar 

  4. Davis PA (1941). Electroencephalograms of manic-depressive patients. Am J Psychiat, 98, 430–433

    Google Scholar 

  5. Finley KH (1944). On the occurrences of rapid frequency potential changes in the human electroencephalogram. Am J Psychiat, 101, 194–200

    Google Scholar 

  6. Greenblatt M (1944). Age and electroencephalographic abnormality in neuropsychiatric patients. Am J Psychiat, 101, 82–90

    Google Scholar 

  7. Shagass C, Roemer RA, Straumanis JJ, Josiassen RC (1984). Psychiatric diagnostic discriminations with combinations of quantitative EEG variables. Brit J Psychiat, 144, 581–592

    Article  PubMed  CAS  Google Scholar 

  8. Endo S, Mori T, Kojima D, Akiyama M, Takagi H, Kuraoka Y, Kimura M (1987). Quantitative EEG and evoked potential study on hemispheric differences in Japanese depressive patients. In: Takahaski R, Flor-Henry P, Gruzelier J, Niwa S (eds) Cerebral Dynamics, Laterality and Psychopathology. Elsevier, Amsterdam, 85–92

    Google Scholar 

  9. d’Elia G, Perris C (1973). Cerebral functional dominance and depression. Acta Psychiat Scand, 49, 191–197

    Article  PubMed  Google Scholar 

  10. Perris C (1980). Central measures of depression. In: Van Praag H (ed) Handbook of Biological Psychiatry. Marcel Dekker, New York, pp 183–223

    Google Scholar 

  11. Flor-Henry P, Koles ZJ, Howarth BG, Burton L (1979). Neurophysiological studies of schizophrenia, mania and depression. In: Flor-Henry P, Gruzelier J (eds) Hemispheric Asymmetries of Function in Psychopathology, Elsevier, Amsterdam, pp 189–222

    Google Scholar 

  12. Kemali D, Vacca L, Marciano F, Nolte G, Iorio G (1981). CEEG findings in schizophrenics, depressives, obsessives, heroin addicts and normals. Adv Biol Psychiat, 17–28

    Google Scholar 

  13. Schaffer CE, Davidson RJ, Saron C (1983). Frontal and parietal electroencephalogram asymmetry in depressed and nondepressed subjects. Biol Psychiat, 18, 753–762

    PubMed  CAS  Google Scholar 

  14. von Knorring L, Perris C, Goldstein L, Kemali D, Monakhov K, Vacca L (1983). Intercorrelations between different computer-based measures of the EEG alpha amplitude and its variability over time and their validity in differentiating healthy volunteers from depressed patients. Adv Biol Psychiat, 13, 172–181

    Google Scholar 

  15. French CC, Beaumont JG (1984). A critical review of EEG coherence studies in hemisphere function. Internat J Psychophysiol, 1, 241–254

    Article  CAS  Google Scholar 

  16. O’Connor KP, Shaw JC, Ongley CD (1979). The EEG and differential diagnosis in psychogeriatrics. Br J Psychiatry, 135, 156–162.

    Article  PubMed  Google Scholar 

  17. Flor-Henry P, Koles ZJ, Lind J (1987). Statistical EEG investigations of the endogenous psychoses: power and coherence. In: Takahaski R, Flor-Henry P, Niwa S (eds) Cerebral Dynamics, Laterality and Psychopathology, Elsevier, Amsterdam, 93–104

    Google Scholar 

  18. Flor-Henry P, Kolas ZJ, Sussman PS (1983). Multivariate EEG analysis of the endogeneous psychoses. Adv Biol Psychiat, 13, 196–210

    Google Scholar 

  19. Ford MR, Goethe JW, Dekker DK (1986). EEG coherence and power in the discrimination of psychiatric disorders and medication effects. Biol Psychiatry, 21, 1175–1188

    Article  CAS  Google Scholar 

  20. Buchsbaum M, Goodwin F, Murphy D (1973). Average evoked response in bipolar and unipolar affective disorders: relationship to sex, age of onset, and monoamine oxidase. Biol Psychiatry, 7, 199–212

    PubMed  CAS  Google Scholar 

  21. Perris C, Eisenmann M (1980). Further studies of averaged evoked potentials in depressed patients with special reference to possible interhemispheric asymmetries. Adv Biol Psychiat 7, 199–212

    Google Scholar 

  22. Shagass C (1983). Evoked potentials in adult psychiatry. In: Hughs JR, Wilson WP (eds) EEG and Evoked Potentials in Psychiatry and Behavioral Neurology. Butterworth, Boston, 169–210

    Google Scholar 

  23. Shagass C, Roemer R, Straumanis J, Josiassen R (1985). Combinations of evoked potential amplitude measurements in relation to psychiatric diagnosis. Biol Psych, 20, 701–722

    Article  CAS  Google Scholar 

  24. John ER (1977). Functional Neuroscience, Vol II: Neurometrics, Clinical Applications of Quantitative Electrophysiology. Lawrence Erlbaum Associates, Hillsdale, NJ

    Google Scholar 

  25. John ER, Karmel BZ, Corning WC, Easton P, Brown D, Ahn H, John M, Harmony T, Prichep L, Toro A, Gerson I, Bartlett F, Thatcher R, Kaye H, Valdes P, Schwartz E (1977). Neurometrics: Numerical taxonomy identifies different profiles of brain functions within groups of behaviorally similar people. Science, 196, 1393–1410

    Article  PubMed  CAS  Google Scholar 

  26. John ER, Prichep L, Ahn H, Easton P, Fridman J, Kaye H (1983). Neurometric evaluation of cognitive dysfunction and neurological disorders in children. Prog Neurobiol, 21, 239–290

    Article  PubMed  CAS  Google Scholar 

  27. John ER, Prichep LS, Fridman J, Easton P (1988). Neurometrics: Computer-assisted differential diagnosis of brain dysfunctions. Science, 239, 162–169

    Article  PubMed  CAS  Google Scholar 

  28. Prichep L (1987). Neurometric quantitative EEG features of depressive disorders. In: Takahaski R, Flor-Henry P, Niwa S (eds) Cerebral Dynamics, Laterality and Psychopathology, Elsevier, Amsterdam, 55–69

    Google Scholar 

  29. Prichep LS, Gomez-Mont F, John ER, Ferris S (1983). Neurometric electroencephalographic characteristics of dementia. In: Reisberg B (ed) Alzheimer’s Disease, The Standard Reference. The Free Press, New York, 252–257

    Google Scholar 

  30. Prichep LS, John ER (1987). Neurometrics: Clinical applications. In: Remond A (ed) Handbook of Electroencephalography and Clinical Neurophysiology, Vol III, Computer Analysis of the EEG and Other Neurophysiological Signals. Elsevier, Amsterdam, 153-170

    Google Scholar 

  31. Prichep, LS, John, ER, Ahn, H, Kaye, H (1984). Neurometrics: Quantitative evlauation of brain dysfunction in children. In: Rutter, M (ed) Developmental Neuropsychiatry. Guilford Press, New York, 213–238

    Google Scholar 

  32. John ER, Prichep LS, Friedman J, Essig-Peppard T (1988). Neurometric classification of patients with different psychiatric disorders. In: Samson-Dollfus D (ed) Statistics and Topography in Quantitative EEG. Elsevier, Paris, 88–95

    Google Scholar 

  33. Ahn H, Prichep L, John ER, Baird H, Trepetin M, Kaye H (1980). Developmenal equations reflect brain dysfunction. Science, 210, 1259–1262

    Article  PubMed  CAS  Google Scholar 

  34. Alvarez A, Pascual R and Valdes P (1987). U.S. EEG developmental equations confirmed for Cuban schoolchildren. Electroenceph Clin Neurophysiol, 67, 330332

    Google Scholar 

  35. John ER, Ahn H, Prichep L, Trepetin M, Brown D, Kaye H (1980). Developmental equations for the electroencephalogram. Science, 10, 1255–1258

    Article  Google Scholar 

  36. Prichep LS, Lieber AL, John ER, Alper K, Gomez-Mont F, Essig-Peppard T, Flitter M (1986). Quantitative EEG in depressive disorders. In: Shagass C, Josiassen RC, Roemer RA (eds) Electrical Brain Potentials and Psychopathology. Elsevier, Amsterdam, 223–237

    Google Scholar 

  37. Jasper HH (1958). The ten-twenty electrode system of the international federation. Electroenceph Clin Neurophysiol, 10, 371–375

    Google Scholar 

  38. John ER, Prichep LS, Easton P (1987). Normative data banks and Neurometrics: Basic concepts, methods and results of norm constructions. In: Remond A (ed) Handbook of Electroencephalography and Clinical Neurophysiology, Vol. III, Computer Analysis of the EEG and Other Neurophysiological Signals. Elsevier, Amsterdam, 449–495

    Google Scholar 

  39. John ER, Prichep LS, Friedman J, Easton P (1988). Neurometric topographic mapping of EEG and evoked potential features: Application to clinical diagnosis and cognitive evaluation. In: Maurer K (ed), Topographic Brain Mapping of EEG and Evoked Potential. Springer-Verlag, Berlin, 90–117

    Google Scholar 

  40. BMDP Statistical Software (P7M), (1987). University of California Press, Berkeley, California.

    Google Scholar 

  41. Weiner J, Dunn O (1966). Elimination of variates in linear discrimination problems. Biometrics, 22, 269–275

    Article  Google Scholar 

  42. Friedman J, Meares R (1979). Cortical evoked potentials and severity of depression. Am J Psychiatry, 136, 1218–1220

    PubMed  CAS  Google Scholar 

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© 1990 Kluwer Academic Publishers

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Prichep, L.S., John, E.R., Essig-Peppard, T., Alper, K. (1990). Neurometric subtyping of depressive disorders. In: Cazzullo, C.L., Sacchetti, E., Conte, G., Invernizzi, G., Vita, A. (eds) Plasticity and Morphology of the Central Nervous System. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0851-2_10

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  • DOI: https://doi.org/10.1007/978-94-009-0851-2_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6870-3

  • Online ISBN: 978-94-009-0851-2

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