Diagnostic Accuracy of Statistical Pattern Recognition of Electroencephalogram Registration in Evaluation of Cognitive Impairment and Dementia

Iceland
Background: There is still need for simple, non-invasive and cheap methods for diagnosing causes of cognitive impairment and dementia. In this study, contemporary statistical methods were used in order to classify clinical cases of cognitive impairment based on EEG.
Methods: An EEG database was established from seven different groups of subjects with cognitive impairment and dementia as well as healthy controls. A classifier was created for each possible pair of groups using statistical pattern recognition (SPR).
Results: A good to excellent separation was found when differentiating cases of degenerative disorders from controls, vascular disorders and depression but less when the likelihood of comorbidity was high.
Conclusions: Using EEG with SPR seems to be a reliable method for assisting in diagnosing the causes of cognitive impairment and dementia but comorbidity must be taken into account.

Snaedal, J., Johannesson, G. H., Gudmundsson, T. E., Blin, N. P., Emilsdottir, A. L., Einarsson, B. & Johnsen, K. Diagnostic Accuarcy of Statistical Pattern Recognition of Electroencephalogram Registration in Evaluation of Cogntive Impairment and Dementia. Dement Geriatr Cogn Disord. 2012;34(1):51-60. Epub 2012 Aug 23
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