EEG- and cognitive changes in Alzheimer’s disease — a correlative follow-up study
Electroencephalograms (EEG) obtained in a two years follow up period from 39 patients with Alzheimer’s disease — presenile (AD) and senile (SDAT) — were compared with psychomental ratings (MMS and OMDS) and with EEG records from two age-matched normal control groups, comprising 33 subjects. Normal EEGs were obtained 7 times more often in controls than in Alzheimer patients and alpha was mildly to severely disturbed in close to 68 percent of the latter.
The EEG-differences between controls and patients were significant for global rating, alpha activity and diffuse slowing. Beta activity was significantly reduced in SDAT. Alpha and beta activity were significantly more impaired in SDAT than in AD, but their changes with progression of disease did not differ significantly. Close to 10% of initial records were and remained normal.
The study of the sequential EEGs showed a good correlation between global rating, slowing of basic rhythm and irregularity of alpha activity and degrees of dementia.
This study, in consistency with most of reports in the literature shows, that sequential recording of EEG is a valuable tool in the confirmation of Alzheimer’s disease in doubtful cases and in the differentiation of this disease from normal ageing.
KeywordsAlzheimer Patient Global Rating Alpha Activity Senile Dementia Beta Activity
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- Busse EW (1983) Electroencephalography. In: Reisberg B (ed) Alzheimer’s disease. Free Press, New York, pp 231–236Google Scholar
- Danielczyk W (1986) Akinetische Krisen, akinetische Endzustände und Sterbealter bei hospitalisierten Parkinson Patienten. In: Fischer PA (Hrsg) Spätsyndrome der Parkinson-Krankheit. Edit Roche, Basel, S 89–98Google Scholar
- Deisenhammer E, Jellinger K (1972) Korrelation elektroenzephalographischer Befunde bei präsenilen und senilen Demenzen. In: Kanowski S (Hrsg) Gerontopsychiatrie 2. Janssen Symposien, Berlin, S 62–83Google 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: 189–198Google Scholar
- Giannitrapani D, Collins J (1968) EEG differentiation between Alzheimer’s and Non-Alzheimer’s dementias. J Psychiatr Res 26–41Google Scholar
- Hachinski VC (1975) Cerebral blood flow in dementia. Arch Neurol 32:632–637 Hamilton M (1967) Development of a rating scale for primary depressive illness. Br J Soc Psychol 6: 278–296Google Scholar
- Kaszniak AW, Garron DC, Fox JH, Bergen D, Huckman M (1979) Cerebral atrophy, EEG slowing, age, education and cognitive functioning in suspected dementia. Neurology 29: 1273–1279Google Scholar
- Pentilla M, Partanen JV, Soininen H, Riekkinen PJ (1985) Quantitative analysis of occipital EEG in different stages of Alzheimer’s disease. J Neurol Neurosurg Psychiatry 60: 1–6Google Scholar
- Rae-Grant A, Blum W, Lau C, Hachinski VC, Fisman M, Merskey H (1987) The EEG in Alzheimer-type dementia. A sequential study correlating the EEG with psychometric and quantitative pathologic data. Arch Neurol 44: 50–54Google Scholar
- Soininen H, Partanen JV (1988) Quantitative EEG in the diagnosis and follow-up of Alzheimer’s disease. In: Giannitrapani D, Murri L (eds) The EEG of mental activities. Karger, Basel, pp 42–49Google Scholar
- Soininen H, Partanen JV, Puranen M, Riekkinen PJ (1982 a) EEG and computed tomography in the investigation of patients with senile dementia. J Neurol Neurosurg Psychiatry 45: 711–714Google Scholar
- Soininen H, Partanen JV, Helkala EL, Riekkinen PJ (1982 b) EEG findings in senile dementia and normal ageing. Acta Neurol Scand 65: 59–70Google Scholar