The validity of the quantitative EEG Statistical Pattern Recognition method in diagnosing Alzheimer‘s disease.

Norway



Objective: To evaluate the use of a qEEG-method with Statistical Pattern Recognition (SPR) in dementia diagnostics at the Memory Clinic.
Methods: qEEG was preformed on 104 patients referred to the Memory clinic for expert opinion. The patient records were evaluated and rediagnosed by two experts independantly and without knowledge of the qEEG-result. The clinical and qEEG-diagnosis were then compared.
Results: Out of 30 patients with a clinical diagnosis of Alzheimer’s dementia, 22 were test positive. Of the remaining 74 patients with a clinical diagnosis of non-Alzheimer’s disease, 34 were test negative. The qEEG-result was found to correlate with the presence of atrophy of the medial temporal lobe demonstrated on cerebral MRI (p 0.002) and with score on neuropsychological tests such as the MMSE and the CERAD 10 word list.
Conclusion: The qEEG was fairly good at diagnosing Alzheimer’s dementia, but there was a substantial number of false positive results. This contrasts with the results from a recently published pilot study.
Significance: The results may indicate that the qEEG-method is more reliable in a population with more pronounced dementia. However, in this group the clinical diagnosis is normally more obvious, and the need for supplementary investigations is thus less. The results should be confirmed in a larger prospective study.

Ommundsen N, Engedal K, Øksengård AR. The validity of the quantitative EEG Statistical Pattern Recognition method in diagnosing Alzheimer‘s disease. Dement Geriatr Cogn Disord. 2011;31(3):195-201. Epub 2011 Mar 24.




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