Correlations of Topographical EEG Features with Clinical Severity in Mild and Moderate Dementia of Alzheimer Type

Chiaramonti, R.; Gc, Muscas; Paganini, Marco; Müller, Tobias; Fallgatter, A.J.; Versari, A.; Strik, Werner

doi:10.1159/000119375

Cited by 94 publications

(54 citation statements)

References 29 publications

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“…In the present casuistic, the finding of an increase in the theta power and to a lesser degree in the delta band in the AD group is in agreement with the literature 4,21 . In this survey the alterations in coherence were limited to the alpha and beta bands and the frontal and temporal regions (F3-F4 and F7-F8), similarly to that described in the literature [5][6][7] .…”

Section: Discussionsupporting

confidence: 93%

“…With respect to MMSE, elevated negative correlation between delta and theta activities and the MMSE score was reported for patients with dementia 9 , whereas in other studies they were not found 21 . On analyzing together normal elderly subjects and those with cognitive compromise, Onishi et al 12 found a significant regression model to forecast the MMSE score using theta and alpha 1 powers.…”

Section: Relationships Between Absolute Power and Cognitive Aspectsmentioning

confidence: 77%

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Alzheimer's disease: relationship between cognitive aspects and power and coherence EEG measures

Fonseca

Tedrus

Prandi³

et al. 2011

Arq. Neuro-Psiquiatr.

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Objective: To evaluate the relationship between specific cognitive aspects and quantitative EEG measures, in patients with mild or moderate Alzheimer's disease (AD). Method: Thirty-eight AD patients and 31 controls were assessed by CERAD neuropsychological battery (Consortium to Establish a Registry for AD) and the electroencephalogram (EEG). The absolute power and coherences EEG measures were calculated at rest. The correlations between the cognitive variables and the EEG were evaluated. Results: In the AD group there were significant correlations between different coherence EEG measures and Mini-Mental State Examination, verbal fluency, modified Boston naming, word list memory with repetition, word list recall and recognition, and constructional praxis (p<0.01). These correlations were all negative for the delta and theta bands and positive for alpha and beta. There were no correlations between cognitive aspects and absolute EEG power. Conclusion: The coherence EEG measures reflect different forms in the relationship between regions related to various cognitive dysfunctions. Key words: dementia, cognition, Alzheimer's disease, electroencephalography. Doença de Alzheimer: relação entre aspectos cognitivos e medidas de potência e coerência no eletrencefalograma RESUMO Objetivo: Avaliar as relações entre aspectos cognitivos específicos e medidas quantitativas do EEG em pacientes com doença de Alzheimer (DA) leve e moderado. Método: Trinta e oito pacientes com DA e 31 controles foram avaliados com a bateria neuropsicológica CERAD (Consortium to Establish a Registry for AD) e o eletroencefalograma. Foram realizadas medidas de potência absoluta e coerência do EEG, durante repouso, e avaliadas suas relações com variáveis do CERAD. Resultados: No grupo DA houve correlações significativas entre diferentes medidas de coerência e o mini-exame do estado mental, fluência verbal, teste de nomeação de Boston modificado, memória de lista de palavras com repetição, recordação e reconhecimento de lista de palavras e praxia construtiva (p<0,01). Essas correlações foram negativas para as faixas delta e teta e positivas para alfa e beta. Conclusão: As medidas de coerência do EEG em repouso refletem diferentes formas de organização nas relações entre regiões, relacionadas a várias disfunções cognitivas. Palavras-Chave: demência, cognição, doença de Alzheimer, eletroencefalograma. Correspondence

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Section: Discussionsupporting

confidence: 93%

Section: Relationships Between Absolute Power and Cognitive Aspectsmentioning

confidence: 77%

Alzheimer's disease: relationship between cognitive aspects and power and coherence EEG measures

Fonseca

Tedrus

Prandi³

et al. 2011

Arq. Neuro-Psiquiatr.

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“…The following standard band frequencies were studied: delta (2 -4 Hz), theta (4 -8 Hz), alpha 1 (8 -10.5 Hz), alpha 2 (10.5 -13 Hz), beta 1 (13 -20 Hz), and beta 2 (20 -30 Hz). These band frequencies were chosen averaging those used in previous relevant EEG studies on dementia in order to render comparable present results with them (Leuchter et al, 1993;Jelic et al, 1996; Besthorn et al, 1997; Chiaramonti et al, 1997;Rodriguez et al, 1999aRodriguez et al, , 1999b and with previous findings of our Consortium (Babiloni et al, , 2005b. This advantage was supposed to compensate the use of odd 10.5 Hz as half-limit between alpha 1 and alpha 2 bands.…”

Section: Spectral Analysis Of the Eeg Datamentioning

confidence: 84%

Donepezil effects on sources of cortical rhythms in mild Alzheimer's disease: Responders vs. Non-Responders

Cassetta²,

et al. 2006

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“…This type of analysis includes the estimation of the power density of selected EEG frequency bands (AD; Besthorn et al, 1997;Chiaramonti et al, 1997;Schreiter-Gasser et al, 1994). Compared to normal subjects, Alzheimer's disease (AD) patients are known to have 'slowing of the EEG,' namely through increase of the delta (0.5 -4 Hz) and theta (4 -8 Hz) power, along with decrease of the alpha power (8 -13 Hz).…”

Section: Introductionmentioning

confidence: 99%

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

325

251

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Objective: This EEG study investigates the role of the cholinergic system, cortico-cortical connections, and sub-cortical white matter on the relationship between individual EEG frequencies and their relative power bands.Methods: EEGs were recorded at rest in 30 normal elderly subjects (Nold), 60 mild Alzheimer disease (AD) and 20 vascular dementia (VaD) patients, comparable for Mini Mental State Evaluation scores . Individual EEG frequencies were indexed by the theta/alpha transition frequency (TF) and by the individual alpha frequency (IAF) with power peak in the extended alpha range (5 -14 Hz). Relative power was separately computed for delta, theta, alpha1, alpha2, and alpha3 bands, on the basis of the TF and IAF.Results: Using normal subjects as a reference, VaD patients showed 'slowing' of alpha frequency (TF-IAF) and lower alpha2 power; Mild AD patients showed lower alpha2 and alpha3 power; delta power was higher in both AD and VaD patients; Theta power was higher only in VaD patients.Conclusions: Individual analysis of the alpha frequency and power can discriminate mild AD from VaD and normal elderly subjects.Significance: This analysis may probe pathophysiological mechanisms causing AD and VaD.

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Correlations of Topographical EEG Features with Clinical Severity in Mild and Moderate Dementia of Alzheimer Type

Cited by 94 publications

References 29 publications

Alzheimer's disease: relationship between cognitive aspects and power and coherence EEG measures

Alzheimer's disease: relationship between cognitive aspects and power and coherence EEG measures

Donepezil effects on sources of cortical rhythms in mild Alzheimer's disease: Responders vs. Non-Responders

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

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