Topographic EEG changes with normal aging and SDAT

Breslau, J.; Starr, Arnold; Sicotte, Nancy L.; Higa, Jerilyn; Buchsbaum, Monte S.

doi:10.1016/0013-4694(89)90063-1

Cited by 155 publications

(76 citation statements)

References 19 publications

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“…In those rsEEG studies, groups of AD and PD patients with dementia (ADD and PDD) were contrasted with normal elderly (Nold) subjects as controls. Compared to groups of Nold subjects, ADD groups showed high power in delta (<4 Hz) and theta (4-7 Hz) rhythms in widespread cortical regions [14], as well as low power in alpha (8)(9)(10)(11)(12) and/or beta (13)(14)(15)(16)(17)(18)(19)(20) rhythms in posterior areas [12][13][14]. Furthermore, posterior alpha rhythms were markedly reduced in amplitude in ADD patients when compared with ADMCI subjects, whereas the opposite was true for slow EEG frequencies including delta and theta rhythms [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

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Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Babiloni

Percio

Lizio

et al. 2017

JAD

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Abstract. The aim of this retrospective and exploratory study was that the cortical sources of resting state eyes-closed electroencephalographic (rsEEG) rhythms might reveal different abnormalities in cortical neural synchronization in groups of patients with mild cognitive impairment due to Alzheimer's disease (ADMCI) and Parkinson's disease (PDMCI) as compared to healthy subjects. Clinical and rsEEG data of 75 ADMCI, 75 PDMCI, and 75 cognitively normal elderly (Nold) subjects were available in an international archive. Age, gender, and education were carefully matched in the three groups. The Mini-Mental State Evaluation (MMSE) was matched between the ADMCI and PDMCI groups. Individual alpha frequency peak (IAF) was used to determine the delta, theta, alpha1, alpha2, and alpha3 frequency band ranges. Fixed beta1, beta2, and gamma bands were also considered. eLORETA estimated the rsEEG cortical sources. Receiver operating characteristic curve (ROC) classified these sources across individuals. Results showed that compared to the Nold group, the posterior alpha2 and alpha3 source activities were more abnormal in the ADMCI than the PDMCI group, while the parietal delta source activities were more abnormal in the PDMCI than the ADMCI group. The parietal delta and alpha sources correlated with MMSE score and correctly classified the Nold and diseased individuals (area under the ROC = 0.77-0.79). In conclusion, the PDMCI and ADMCI patients showed different features of cortical neural synchronization at delta and alpha frequencies underpinning brain arousal and vigilance in the quiet wakefulness. Future prospective cross-validation studies will have to test these rsEEG markers for clinical applications and drug discovery.

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Section: Introductionmentioning

confidence: 99%

“…[8]. Among other biomarkers, resting state eyes-closed electroencephalographic (rsEEG) rhythms have extensively been studied as markers to assess the neurophysiological correlates of dementia [9][10][11]. These rsEEG markers are cost-effective, noninvasive, and non-stressful for patients.…”

Section: Introductionmentioning

confidence: 99%

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Babiloni

Percio

Lizio

et al. 2017

JAD

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“…Significant deviations from normal Neurometric values are detected in high proportions of patients with psychiatry illness, including developmental disorders and early stages of dementia. Such normative data has helped to differentiate pathologies related to abnormal brain patterns 25,26 . Along this line, here we present qEEG results based on quantitative analysis and statistical assessment of brain electrical features of two different samples: demented and depressive patients.…”

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confidence: 99%

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 Alzheimer patients, the resting EEG is characterized by increased power in the low frequency bands [1][2][3][4][5][6][7][8][9][10][11]. Under physiological conditions, the amount of slow-wave activity in the EEG is not increased in old age [2,5,12,13].…”

Section: Introductionmentioning

confidence: 99%

Short-Term Rivastigmine Treatment Reduces EEG Slow-Wave Power in Alzheimer Patients

Adler

Brassen²

2001

Neuropsychobiology

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The effects of a 5-day treatment with rivastigmine on the resting EEG power spectrum were studied in 15 mildly to moderately ill Alzheimer patients. In these patients, beta power was positively correlated with cognitive performance and negatively correlated with functional impairment. Rivastigmine produced a decrease in delta and theta power with no effect of hemisphere and electrode position. Delta power decrease reflects the cerebral cholinergic action of rivastigmine and may thus allow a quantitative assessment of its CNS effects.

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Topographic EEG changes with normal aging and SDAT

Cited by 155 publications

References 19 publications

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

Abnormalities of Cortical Neural Synchronization Mechanisms in Subjects with Mild Cognitive Impairment due to Alzheimer’s and Parkinson’s Diseases: An EEG Study

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

Short-Term Rivastigmine Treatment Reduces EEG Slow-Wave Power in Alzheimer Patients

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