Correlation between Mini-Mental State Examination and Quantitative Electroencephalography in Senile Dementia of Alzheimer Type

Primavera, A.; Novello, P; Finocchi, Cinzia; Canevari, E; Corsello, L

doi:10.1159/000119430

Cited by 38 publications

(17 citation statements)

References 16 publications

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“…General level of cognitive function, assessed in several previous studies with the MMSE, is most consistently related to alpha activity on EEG in AD patients [8,13,16,17,46], in agreement with our findings. However, also correlations between overall cognitive function and delta and theta activity were observed in our study and in previous reports [13][14][15][16].…”

Section: Discussionsupporting

confidence: 92%

Determinants of Quantitative Spectral Electroencephalography in Early Alzheimer’s Disease: Cognitive Function, Regional Cerebral Blood Flow, and Computed Tomography

Claus¹,

Visser²,

Bour³

et al. 2000

Dement Geriatr Cogn Disord

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Electroencephalography (EEG) bands may have different clinical or physiological correlates at initial diagnosis of Alzheimer’s disease (AD). We studied 163 consecutive patients with probable (n = 105) and possible (n = 58) AD with measurements of cognitive function (CAMCOG), regional cerebral blood flow (rCBF) with single photon emission computed tomography using technetium-99m-labeled hexamethylpropylene amine oxime, and computed tomography (CT). Lower CAMCOG scores were significantly and most strongly associated with lower parieto-occipital and fronto-central alpha power. In a separate analysis of cognitive domains, disturbances in language, praxis, attention, and abstraction were also significantly and most consistently related to decrease in alpha power. Presence of cortical atrophy as measured on CT showed some statistically significant relations with EEG bands, but these associations were not consistent. Lower temporal and parietal rCBF were significantly related to lower parieto-occipital alpha activity. Presence of leukoaraiosis was significantly associated with lower beta values, but also with higher absolute theta and delta activity. The results suggest that alpha on EEG is most closely linked to cognitive function and rCBF, while beta and theta activity more likely reflect lower cortical or subcortical changes. Our study thus provides evidence that the EEG bands reflect differential pathophysiologic changes in AD.

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Section: Discussionsupporting

confidence: 92%

Determinants of Quantitative Spectral Electroencephalography in Early Alzheimer’s Disease: Cognitive Function, Regional Cerebral Blood Flow, and Computed Tomography

Claus¹,

Visser²,

Bour³

et al. 2000

Dement Geriatr Cogn Disord

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“…Our finding of anteriorization of the beta dipole in DAT patients may be interpreted as an increased vulnerability of parietotemporal and occipital regions, with normal beta activity maintained in frontal regions for a longer duration. Significant correlations between the localization of the equivalent dipole of the alpha band in anterior direction and neuropsychological testing, also reported for conventional alpha activity in occipital region and 'Mini-Mental-State' by Primavera et al (1990), support this hypothesis.…”

Section: Discussionsupporting

confidence: 57%

Correlation between cognitive brain function and electrical brain activity in dementia of Alzheimer type

Dierks

Frölich

Ihl

et al. 1995

J. Neural Transmission

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Psychometric tests which assess cognitive brain function in dementia disorders are partly prone to artifacts, e.g., the experience of the investigator and the cooperation of the patient influences the results. An objective way to assess the degree of cognitive disturbance could be to measure neuronal activity represented by the electrical brain activity. The aim of the present study was to investigate how well cognitive function in dementia assessed by psychometric tests correlates with electrical brain activity (EEG). Multichannel EEG data was reduced into 3-D intracerebral equivalent dipole EEG generators allowing a more convenient statistical data management and valid physiological data interpretation. 35 patients suffering from dementia of Alzheimer type were investigated. An increase of dipole strength in the slow frequency bands, a more anterior equivalent dipole of alpha- and beta-activity, and a slowing of the EEG with increasing cognitive deterioration could be demonstrated. The results support the hypothesis that the amount of disturbance of cognitive function in dementia can be assessed by measuring the electrical activity of the brain.

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“…The next step was the extraction of the EEG features to evaluate cognitive impairment. In accordance with reported literature (Primavera et al, 1990), we focused on the Alpha rhythm in the T5, T6, O1 and O2 derivations, the Delta rhythm in the F7, O1, and O2 derivations, and the Beta rhythm in the F7 derivation. For the extraction of the aforementioned rhythms the discrete wavelet transform (DWT) was used.…”

Section: Eeg Analysismentioning

confidence: 89%

Elman neural network for the early identification of cognitive impairment in Alzheimer�s disease

Bertè¹,

Lamponi²,

Calabrò

et al. 2014

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Early detection of dementia can be useful to delay progression of the disease and to raise awareness of the condition. Alterations in temporal and spatial EEG markers have been found in patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Herein, we propose an automatic recognition method of cognitive impairment evaluation based on EEG analysis using an artificial neural network (ANN) combined with a genetic algorithm (GA). The EEGs of 43 AD and MCI patients (aged between 62 and 88 years) were recorded, analyzed and correlated with their MMSE scores. Quantitative EEGs were calculated using discrete wavelet transform. The data obtained were analyzed by the means of the combined use of ANN and GA to determine the degree of cognitive impairment. The good recognition rate of ANN fed with these inputs suggests that the combined GA/ANN approach may be useful for early detection of AD and could be a valuable tool to support physicians in clinical practice. KEY WORDS: artificial neural network, dementia, EEG, genetic algorithm, MMSE.

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Correlation between Mini-Mental State Examination and Quantitative Electroencephalography in Senile Dementia of Alzheimer Type

Cited by 38 publications

References 16 publications

Determinants of Quantitative Spectral Electroencephalography in Early Alzheimer’s Disease: Cognitive Function, Regional Cerebral Blood Flow, and Computed Tomography

Determinants of Quantitative Spectral Electroencephalography in Early Alzheimer’s Disease: Cognitive Function, Regional Cerebral Blood Flow, and Computed Tomography

Correlation between cognitive brain function and electrical brain activity in dementia of Alzheimer type

Elman neural network for the early identification of cognitive impairment in Alzheimer�s disease

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