Spectral analysis of the EEG and 99m-Tc-HMPAO SPECT-scan in Alzheimer's disease

Kwa, Vincent I H; Weinstein, H. C.; Meyjes, Eelco F. Posthumus; Royen, E. A. Van; Bour, L.J.; Verhoeff, Paul N.L.G.; Visser, B.W. Ongerboer de

doi:10.1016/0006-3223(93)90308-z

Cited by 40 publications

(27 citation statements)

References 26 publications

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“…Our relation between relative alpha activity on EEG and rCBF in temporal and parietal cortical areas finds support in several previous studies, but theta activity was correlated to rCBF in these reports as well [21,22]. Interestingly, alpha is a strong correlate of rCBF change in the study by Passero et al [22], but significant relations between frontal, temporal, and parietal rCBF and all EEG bands were observed.…”

Section: Discussionsupporting

confidence: 37%

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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: 37%

“…However, few studies investigated relations between EEG parameters and single photon emission computed tomography (SPECT) [21][22][23][24][25] or structural abnormalities on computed tomography (CT) [26][27][28]. One study showed relations between EEG and cerebral blood flow in white matter in senile dementia of the Alzheimer type [29].…”

Section: Introductionmentioning

confidence: 99%

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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“…Non-AD depressed patients showed a significant reduction in delta relative power, as well as a significant reduction in alpha relative power to the right hemisphere. In contrast, depressed AD patients, as compared to non-depressed AD patients, showed significant increments in delta and theta relative power, as well as a significant reduction of alpha relative power, which was restricted to posterior brain regions 16,17 . In the last three decades, statistical techniques have been used to quantify electrophysiological characteristics associated to a database.…”

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confidence: 63%

Quantitative electroencephalography (qEEG) to discriminate primary degenerative dementia from major depressive disorder (depression)

Deslandes

Veiga

Cagy

et al. 2004

Arq. Neuro-Psiquiatr.

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-Electroencephalography (EEG) can be a valuable technique to assess electrophysiological changes related to dementia. In patients suspected of having dementia, the EEG is often quite informative. The sensitivity of the EEG to detect correlates of psychiatric disorders has been enhanced by means of quantitative methods of analysis (quantitative EEG). Quantitative features are extracted from, at least, 2 minutes of artifact-free, eyes closed, resting EEG, log-transformed to obtain Gaussianity, age-regressed, and Z-transformed relative to population norms (Neurometrics database). Using a subset of quantitative EEG (qEEG) features, forward stepwise discriminant analyses are used to construct classifier functions. Along this vein, the main objective of this experiment is to distinguish profiles of qEEG, which differentiate depressive from demented patients (n = 125). The results showed that demented patients present deviations above the control group in variables associated to slow rhythms: Normed Monopolar Relative Power Theta for Cz and Normed Bipolar Relative Power Theta for Head. On the other hand, the deviation below the control group occurs with the variable associated to alpha rhythm: Normed Monopolar Relative Power Alpha for P3, in dementia. Using this method, the present investigation demonstrated high discriminant accuracy in separating Primary Degenerative Dementia from Major Depressive Disorder (Depression).KEY WORDS: qEEG, neurometrics, Alzheimer´s disease, depression. Eletroencefalografia quantitativa (EEGq) na discriminação entre demência degenerativa primária e transtorno depressivo maior (depressão)RESUMO -A Eletroencefalografia (EEG) pode ser utilizada como uma técnica valiosa na avaliação de mudanças eletrofisiológicas relacionadas à demência. Em pacientes com suspeita de demência, o EEG é em geral bastante informativo. A sensibilidade do EEG em detectar correlatos de desordens psiquiátricas pode ser incrementada através de métodos de análise quantitativa (EEG quantitativo). Padrões quantitativos são extraídos de pelo menos 2 minutos de dados livres de artefatos, em que os sujeitos estão com olhos fechados e em estado de repouso. São aplicados métodos quantitativos, tais como: transformação logarítmica para obtenção de uma distribuição Gaussiana, regressão por faixa etária e o escore Z relativo a normas populacionais preestabelecidas (Neurometrics). Utilizando uma amostra de padrões de EEG quantitativo (EEGq), será implementada uma análise discriminante (forward stepwise) a fim de estabelecer funções classificatórias. Neste contexto, o objetivo principal deste estudo é distinguir perfis de EEGq que diferenciem pacientes com depressão de pacientes com demência (n = 125). Os resultados demonstraram que pacientes acometidos por demência apresentam desvios acima do grupo controle em variáveis associadas a ritmos lentos: Potência Monopolar Relativa Normalizada em Teta para Cz e Potência Bipolar Relativa Normalizada em Teta para Cabeça. Por outro lado, desvios abaixo do grupo controle ocorrem em...

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“…In AD subjects, loss of hippocampal and entorhinal neurons was correlated with the increment of cortical delta rhythms (Fernandez et al, 2003). Furthermore, delta rhythms correlated with local blood hypoperfusion (Kwa et al, 1993;Steriade et al, 1994;Passero et al, 1995;Niedermeyer, 1997Rodriguez et al, 1999a. In line with the present explanation, previous evidence demonstrated that cortical hypo-perfusion was more pronounced in AD Non-Responders than in Responders to cholinergic therapy (Hanyu et al, 2003a,b).…”

Section: Discussionmentioning

confidence: 99%

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

Cassetta²,

et al. 2006

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Spectral analysis of the EEG and 99m-Tc-HMPAO SPECT-scan in Alzheimer's disease

Cited by 40 publications

References 26 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

Quantitative electroencephalography (qEEG) to discriminate primary degenerative dementia from major depressive disorder (depression)

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

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