Neurometric subtyping of depressive disorders

Prichep, Leslie S.; John, E. Roy; Essig-Peppard, T.; Alper, Kenneth

doi:10.1007/978-94-009-0851-2_10

Cited by 13 publications

(11 citation statements)

References 24 publications

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“…Such features are embedded in the shared parameters of both psychiatric disorders. Our results are in agreement with other research groups that use Neurometrics 10,19,22,28 . The ratio of concordance between the clinical diagnosis (DSM-IV) and the qEEG diagnosis based on stepwise forward discriminant function analysis is quite significant (91.9% for dementia, 90.2% for depression, and a total of 91.2%), even for replication (91.9% for dementia, 88.2% for depression, and a total of 90.4%), indicating that the predictive value of the discriminant equation derived from this study is favorable.…”

Section: Discussionsupporting

confidence: 93%

“…In the last three decades, statistical techniques have been used to quantify electrophysiological characteristics associated to a database. Specifically, Neurometrics is the statistical analysis of standardized, neurophysiological measures extracted from the EEG and compared to a normative database [18][19][20][21][22][23][24] . Significant deviations from normal Neurometric values are detected in high proportions of patients with psychiatry illness, including developmental disorders and early stages of dementia.…”

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confidence: 99%

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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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Section: Discussionsupporting

confidence: 93%

mentioning

confidence: 99%

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

Deslandes

Veiga

Cagy

et al. 2004

Arq. Neuro-Psiquiatr.

View full text Add to dashboard Cite

show abstract

“…[113][114][115] Interhemispheric asymmetry, especially in anterior regions, has been reported repeatedly, [162][163][164][165][166] as has decreased coherence. 19,121,167 In bipolar illness, in contrast to unipolar depression, alpha activity is reduced 155,168 and beta activity increased. 5,19 This difference may serve to separate unipolar from bipolar patients presenting in a state of depression without prior history of mania.…”

Section: Mood Disorders: Unipolar and Bipolar Depressionmentioning

confidence: 99%

“…5,19 This difference may serve to separate unipolar from bipolar patients presenting in a state of depression without prior history of mania. 5,167 Current treatment of bipolar disorder often includes the use of the anticonvulsant medications carbamazepine and sodium valproate. The successful use of these agents suggests overlap between convulsive disorders and bipolar illness.…”

Section: Mood Disorders: Unipolar and Bipolar Depressionmentioning

confidence: 99%

Conventional and Quantitative Electroencephalography in Psychiatry

Hughes¹,

John²

1999

JNP

410

296

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Electrical activity of each brain region is homeostatically regulated, resulting in predictable frequency composition of the background EEG. Replicated normative databases have established that the EEG power spectrum is independent of ethnic background. Artifact-free EEG evaluated relative to such norms displays few deviant values in healthy, normally functioning individuals. In subjects with psychiatric disorders, high proportions of abnormal findings have been reported with good concordance and high specificity and sensitivity across numerous studies, distinctive within a wide variety of disorders and often contributing to differential diagnosis and selection of treatment. New three-dimensional QEEG imaging methods offer an economical alternative to other functional brain imaging modalities.

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“…Bei manchen Personen wird aber der Schlaf nicht auf diese Weise erreicht. sondern durch einen Abbau über das A-Stadium (8).Eine Vielzahl von Refunden aus quantitativen Untersuchungen des EEG (1 10,164,165,181,186,206) lassen sich gut mit den Vorstellungen von Bente iri Einklang bringen. wobei unter Verwendung von differenzierten signalanalytischen Methoden neben der vermehrten synchronisierten a-Aktivität zusätzlich von einigen Autoren eine verminderte Amplitudenvariabilität beschrieben wurde (33,65,214).…”

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Über das Elektroenzephalogramm in der Psychiatrie: Eine kritische Bewertung

Winterer¹,

Herrmann²

1995

Klin Neurophysiol

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Neurometric subtyping of depressive disorders

Cited by 13 publications

References 24 publications

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

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

Conventional and Quantitative Electroencephalography in Psychiatry

Über das Elektroenzephalogramm in der Psychiatrie: Eine kritische Bewertung

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