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Part of the book series: Journal of Neural Transmission Supplement ((NEURAL SUPPL,volume 47))

Summary

A study on quantitative EEG in 14 patients with frontal lobe dementia (FLD), 14 patients with Alzheimer’s disease (AD), and 14 healthy controls was conducted using a complete set of EEG parameters: band power, coherence and fractal dimension. Contrary to earlier studies, we observed higher theta power and sagittal interactions in higher frequency bands in the FLD than in the control group. Lateral interactions of coherence and two indices of fractal dimension were lower in FLD than in controls. There was greater electrophysiological resemblance between the control group and FLD than between any of these groups and AD. This was documented by the results of a discriminant analysis which led to a correct overall classification of 66% of the subjects with misclassifications occurring primarily between control and FLD group.

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References

  • Baldwin B, Förstl H (1993) “Pick’s disease” 101 years on: still there, but in need of reform. Br J Psychiatry 163: 100–104

    Article  PubMed  CAS  Google Scholar 

  • Besthorn C (1992) Improving algorithms for Grassberger-Procaccia dimension calculations using Euclidian norms. EEG chaos newsletter 3: 21–24

    Google Scholar 

  • Besthorn C, Förstl H, Geiger-Kabisch C, Sattel H, Gasser T, Schreiter-Gasser U (1994) EEG coherences in Alzheimer disease. Electroencephalogr Clin Neurophysiol 90: 242–245

    Article  PubMed  CAS  Google Scholar 

  • Besthorn C, Sattel H, Geiger-Kabisch C, Zerfaß R, Förstl H (1995) Parameters of EEG fractal dimension in Alzheimer’s disease. Electroencephalogr Clin Neurophysiol 95: 84–89

    Article  PubMed  CAS  Google Scholar 

  • Bullock TW, McClune MC (1989) Lateral coherence of the electrocorticogram: a new measure of brain synchrony. Electroencephalogr Clin Neurophysiol 73: 479–488

    Article  PubMed  CAS  Google Scholar 

  • Brenner RP, Reynolds CF, Ulrich RF (1988) Diagnostic efficacy of computerized spectral versus visual EEG analysis in elderly normal, demented and depressed subjects. Electroencephalogr Clin Neurophysiol 69: 110–117

    Article  PubMed  CAS  Google Scholar 

  • Caputo JG, Malraison B, Atten P (1986) Determination of attractor dimensions and entropy for various flows: an experi-mentalists viewpoint. In: Mayer-Kress G (ed) Dimension and entropies in chaotic systems. Springer, New York

    Google Scholar 

  • Coben LA, Chi D, Snyder AZ, Storandt M (1990) Replication of a study of frequency analysis of the resting awake EEG in mild probable Alzheimer disease. Electroencephalogr Clin Neurophysiol 75: 148–154

    Article  PubMed  CAS  Google Scholar 

  • DeKosky ST, Scheff SW (1990) Synapse loss in frontal cortex biopsies in Alzheimer’s disease: correlation with cognitive severity. Ann Neurol 27: 457–464

    Article  PubMed  CAS  Google Scholar 

  • Dvorak I (1990) Takens versus multichannel reconstruction in EEG correlation exponent estimates. Phys Lett A 151: 225–233

    Article  Google Scholar 

  • Fenton, GW (1986) Electroenphysiology of Alzheimer’s disease. Br Med Bull 62: 29–33

    Google Scholar 

  • Folstein MF, Folstein SE, McHugh PR (1975) “Mini-Mental-State”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 12: 189–198

    Article  PubMed  CAS  Google Scholar 

  • Förstl H, Burns A, Levy R, Cairns N, Luthert P, Lantos, P (1992) Neurologic signs in Alzheimer’s disease. Arch Neurol 49: 1038–1042

    Article  PubMed  Google Scholar 

  • Förstl H, Besthorn C, Geiger-Kabisch C, Sattel H, Schreiter-Gasser U (1993) Psychotic features and the course of Alzheimer’s disease: relationship to cognitive, electroencephalographic and computerized tomography findings. Acta Psychiatr Scand 87: 395–399

    Article  PubMed  Google Scholar 

  • Förstl H, Besthorn C, Hentschel F, Geiger-Kabisch C, Sattel H, Schreiter-Gasser U (1996) Frontal lobe degeneration and Alzheimer’s disease: a controlled study on clinical findings, volumetric brain changes and quantitative electroencephalogry data. Dementia 7: 27–34

    PubMed  Google Scholar 

  • Frank GW, Lookman T, Nerenberg MAH (1990) Recovering the attractor: a review of chaotic time series analysis. Can J Phys 68: 711–718

    Article  Google Scholar 

  • Gasser T, Bächer P, Möcks J (1982) Transformation toward the normal distribution of broad band spectral parameters of the EEG. Electroencephalogr Clin Neurophysiol 53: 119–124

    Article  PubMed  CAS  Google Scholar 

  • Gasser T, Jennen-Steinmetz C, Verleger R (1985) EEG coherence at rest and during a visual task in two groups of children. Electroencephalogr Clin Neurophysiol 67: 151–158

    Google Scholar 

  • Giannitrapani D, Collins J (1988) EEG differentiation between Alzheimer’s and non-Alzheimer’s dementias. In: Giannitrapani D, Murri R (eds) The EEG of mental activities. Karger, Basel, pp 26–41

    Google Scholar 

  • Grassberger P, Procaccia I (1983) Measuring the strangeness of strange attractors. Physica D 9: 189–208

    Article  Google Scholar 

  • Gustafson L, Nilsson L (1982) Differential diagnosis of presenile dementia on clinical grounds. Acta Psychiatr Scand 65: 194–209

    Article  PubMed  CAS  Google Scholar 

  • Hooijer C, Jonker C, Posthuma J, Visser SL (1990) Reliability, validity and follow-up of the EEG in senile dementia: sequelae of sequential measurement. Electroencephalogr Clin Neurophysiol 76: 400–412

    Article  PubMed  CAS  Google Scholar 

  • Hughes CP, Berg L, Danziger WL, Coben LA, Martin RL (1982) A new clinical scale for the staging of dementia. Br J Psychiatry 140: 566–572

    Article  PubMed  CAS  Google Scholar 

  • Jansen, BH (1992) “Is it?” and “so what?” — a critical review of EEG chaos. In: Duke DW, Pritchard WS (eds) Measuring chaos in the human brain. World Scientific, Singapure

    Google Scholar 

  • Katznelson RD (1981) EEG recording, electrode placement, and aspects of generator localization. In: Nunez PL (ed) Electrical fields of the brain. Oxford University Press, New York, pp 176–213

    Google Scholar 

  • Lachenbruch PA (1975) Discriminant analysis. Hafner, New York

    Google Scholar 

  • Lutzenberger W, Birbaumer N, Flor H, Rockstroh B, Elbert T (1992) Dimensional analysis of the human EEG and intelligence. Neurosci Lett 143: 10–14

    Article  PubMed  CAS  Google Scholar 

  • Matousek M, Petersèn I (1973) Frequency analysis of the EEG in normal children (1–15 years) and in normal adolescents (16–21 years). In: Kellaway P, Peterson I (eds) Automation of clinical electroencephalography. Raven, New York, pp 75–102

    Google Scholar 

  • McKhann G, Drachmann D, Folstein M, Katzman R, Price D, Stadlan EM (1984) Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 34: 939–944

    PubMed  CAS  Google Scholar 

  • Möcks J, Gasser T (1984) How to select epochs of the EEG at rest for quantitative analysis. Electroencephalogr Clin Neurophysiol 58: 89–92

    Article  PubMed  Google Scholar 

  • Möcks J, Gasser T, Sroka L (1989) Approaches to correcting EOG artifacts. J Psychophysiol 3: 21–26

    Google Scholar 

  • Neary D, Snowden JS, Northen B, Goulding P (1988) Dementia of frontal lobe type. J Neurol Neurosurg Psychiatry 51: 353–361

    Article  PubMed  CAS  Google Scholar 

  • Nunez P (1991) Comments on the paper by Miller, Lutzenberger, Elbert. J Psychophysiol 5: 279–280

    Google Scholar 

  • O’Donnel RD, Berkhout J, Adey RW (1974) Contamination of scalp EEG spectrum during contraction of cranio-facial muscles. Electroencephalogr Clin Neurophysiol 37: 145–151

    Article  Google Scholar 

  • Peitgen HO, Jürgens H, Saupe D (1992) Chaos and fractals. New frontiers of science. Springer, New York

    Google Scholar 

  • Penttilä M, Partanen JV, Soininen H, Riekkinen PJ (1985) Quantitative analysis of occipital EEG in different stages of Alzheimer’s disease. Electroencephalogr Clin Neurophysiol 60: 1–6

    Article  PubMed  Google Scholar 

  • Pritchard WS, Duke DW, Coburn KL (1991) Altered EEG dynamical responsivity associated with normal aging and propable Alzheimer’s disease. Dementia 2: 102–105

    Google Scholar 

  • Pritchard WS, Duke DW (1992) Dimensional analysis of no-task human EEG using the Grassberger Procaccia method. Psychophysiology 29: 182–192

    Article  PubMed  CAS  Google Scholar 

  • Pritchard WS, Duke DW, Coburn KL, Moore NC, Tucker KA, Jann MW, Hostetler RM (1994) EEG based, neural-net predictive classification of Alzheimer’s disease versus control subjects is augmented by non-linear EEG measures. Electroencephalogr Clin Neurophysiol 91: 118–130

    Article  PubMed  CAS  Google Scholar 

  • Röschke J, Aldenhoff J (1991) The dimensionality of human’s electroencephalogram during sleep. Biol Cybernet 64: 307–313

    Article  Google Scholar 

  • Schellberg D, Besthorn C, Pfleger W, Gasser T (1993) Emotional activation and topographic EEG band power. J Psychophysiol 7: 24–33

    Google Scholar 

  • Soininen H, Partanen J, Laulumaa V, Helkala EL, Laakso M Riekkinen PJ (1991) Longitudinal EEG spectral analysis in early stage of Alzheimers disease. Electroencephalogr Clin Neurophysiol 72: 290–297

    Google Scholar 

  • Stigsby B, Johannesson G, Ingvar DM (1981) Regional EEG analysis and regional cerebral blood flow in Alzheimer’s and Pick’s disease. Electroencephalogr Clin Neurophysiol 51: 537–547

    Article  PubMed  CAS  Google Scholar 

  • Szelies B, Mielke R, Herholz K, Heiss WD (1994) Quantitative topographical EEG compared to FDG PET for classification of vascular and degenerative dementia. Electroencephalogr Clin Neurophysiol 91: 131–139

    Article  PubMed  CAS  Google Scholar 

  • Takens F (1981) Detecting strange attractors in turbulence. In: Rand DA, Young LS (eds) Lecture notes in mathematics, vol 898. Springer, New York

    Google Scholar 

  • Theiler J (1991) Some comments on the correlation dimension of 1/f**a noise. Phys Lett A 155: 480–493

    Article  Google Scholar 

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© 1996 Springer-Verlag

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Besthorn, C., Sattel, H., Hentschel, F., Daniel, S., Zerfaβ, R., Förstl, H. (1996). Quantitative EEG in frontal lobe dementia. In: Jellinger, K.A., Windisch, M. (eds) New Trends in the Diagnosis and Therapy of Non-Alzheimer’s Dementia. Journal of Neural Transmission Supplement, vol 47. Springer, Vienna. https://doi.org/10.1007/978-3-7091-6892-9_11

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  • DOI: https://doi.org/10.1007/978-3-7091-6892-9_11

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82823-6

  • Online ISBN: 978-3-7091-6892-9

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