qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up
Abstract qEEG spectral analysis has been considered highly sensitive to cortical functional changes and agrees strongly with the clinical diagnosis of AD. The sensitivity of spectral analysis has ranged from 71% to 81% in several studies.1-3. Objective: The aim of this study was to retrospectively e...
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doaj-e2ca7251652c4be4bf2dbc92e6e758692020-11-24T20:59:37ZengAssociação Neurologia Cognitiva e do ComportamentoDementia & Neuropsychologia1980-57642191210.1590/S1980-57642009DN20100003S1980-57642008000100009qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-upIrina RaicherDaniel Yasumasa TakahashiPaulo Afonso Medeiros KandaRicardo NitriniRenato AnghinahAbstract qEEG spectral analysis has been considered highly sensitive to cortical functional changes and agrees strongly with the clinical diagnosis of AD. The sensitivity of spectral analysis has ranged from 71% to 81% in several studies.1-3. Objective: The aim of this study was to retrospectively evaluate whether alpha qEEG spectral peak can supplement clinical examination by constituting an independent tool to monitor treatment and follow-up of dementia progression in Alzheimer's disease (AD). In addition, we examined the demographic data and alpha power spectra distribution of patients and elderly normal controls. Methods: qEEGs were selected from 2 groups of patients: normal controls (n=30), and patients who fulfilled criteria for mild probable AD diagnosis (n=41). The alpha qEEG spectral analysis and MMSE were performed once or twice a year. Results: In our groups, MMSE scores and qEEG alpha spectral peak were unchanged (no statistical differences) after anticholinesterase use where qEEG spectral peak was never lower than 8 Hz in the control group. Conclusion: This study supports two important concepts. First, 8 Hz alpha appears to be the lowest awake spectral peak compatible with normality. And finally, in a clinical context, qEEG is a valuable diagnostic tool that could prove useful for Dementia follow-up.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642008000100009&lng=en&tlng=enquantitative electroencephalographyspectral analysisdementiaAlzheimer's diseasememory complaintcognitionqEEG |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Irina Raicher Daniel Yasumasa Takahashi Paulo Afonso Medeiros Kanda Ricardo Nitrini Renato Anghinah |
spellingShingle |
Irina Raicher Daniel Yasumasa Takahashi Paulo Afonso Medeiros Kanda Ricardo Nitrini Renato Anghinah qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up Dementia & Neuropsychologia quantitative electroencephalography spectral analysis dementia Alzheimer's disease memory complaint cognition qEEG |
author_facet |
Irina Raicher Daniel Yasumasa Takahashi Paulo Afonso Medeiros Kanda Ricardo Nitrini Renato Anghinah |
author_sort |
Irina Raicher |
title |
qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up |
title_short |
qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up |
title_full |
qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up |
title_fullStr |
qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up |
title_full_unstemmed |
qEEG spectral peak in Alzheimer's disease: A possible tool for treatment follow-up |
title_sort |
qeeg spectral peak in alzheimer's disease: a possible tool for treatment follow-up |
publisher |
Associação Neurologia Cognitiva e do Comportamento |
series |
Dementia & Neuropsychologia |
issn |
1980-5764 |
description |
Abstract qEEG spectral analysis has been considered highly sensitive to cortical functional changes and agrees strongly with the clinical diagnosis of AD. The sensitivity of spectral analysis has ranged from 71% to 81% in several studies.1-3. Objective: The aim of this study was to retrospectively evaluate whether alpha qEEG spectral peak can supplement clinical examination by constituting an independent tool to monitor treatment and follow-up of dementia progression in Alzheimer's disease (AD). In addition, we examined the demographic data and alpha power spectra distribution of patients and elderly normal controls. Methods: qEEGs were selected from 2 groups of patients: normal controls (n=30), and patients who fulfilled criteria for mild probable AD diagnosis (n=41). The alpha qEEG spectral analysis and MMSE were performed once or twice a year. Results: In our groups, MMSE scores and qEEG alpha spectral peak were unchanged (no statistical differences) after anticholinesterase use where qEEG spectral peak was never lower than 8 Hz in the control group. Conclusion: This study supports two important concepts. First, 8 Hz alpha appears to be the lowest awake spectral peak compatible with normality. And finally, in a clinical context, qEEG is a valuable diagnostic tool that could prove useful for Dementia follow-up. |
topic |
quantitative electroencephalography spectral analysis dementia Alzheimer's disease memory complaint cognition qEEG |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1980-57642008000100009&lng=en&tlng=en |
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