Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement?
There is evidence in electroencephalography that alpha, theta and delta band oscillations reflect cognitive and memory performances and that quantitative techniques can improve the electroencephalogram (EEG) sensitivity. This paper presents the results of comparative analysis of qEEG variables as re...
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| Format: | Article |
| Language: | English |
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Thieme Revinter Publicações
2011-12-01
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| Series: | Arquivos de Neuro-Psiquiatria |
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| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2011000700004&lng=en&tlng=en |
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| _version_ | 1849694087306805248 |
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| author | Renato Anghinah Paulo Afonso Medeiros Kanda Helder Frederico Lopes Luis Fernando Hindi Basile Sérgio Machado Pedro Ribeiro Bruna Velasques Koichi Sameshima Daniel Yasumasa Takahashi Lécio Figueira Pinto Paulo Caramelli Ricardo Nitrini |
| author_facet | Renato Anghinah Paulo Afonso Medeiros Kanda Helder Frederico Lopes Luis Fernando Hindi Basile Sérgio Machado Pedro Ribeiro Bruna Velasques Koichi Sameshima Daniel Yasumasa Takahashi Lécio Figueira Pinto Paulo Caramelli Ricardo Nitrini |
| author_sort | Renato Anghinah |
| collection | DOAJ |
| description | There is evidence in electroencephalography that alpha, theta and delta band oscillations reflect cognitive and memory performances and that quantitative techniques can improve the electroencephalogram (EEG) sensitivity. This paper presents the results of comparative analysis of qEEG variables as reliable markers for Alzheimer's disease (AD). We compared the sensitivity and specificity between spectral analysis (spectA) and coherence (Coh) within the same group of AD patients. SpectA and Coh were calculated from EEGs of 40 patients with mild to moderate AD and 40 healthy elderly controls. The peak of spectA was smaller in the AD group than in controls. AD group showed predominance of slow spectA in theta and delta bands and a significant reduction of inter-hemispheric Coh for occipital alpha 2 and beta 1 and for frontal delta sub-band. ROC curve supported that alpha band spectA was more sensitive than coherence to differentiate controls from AD. |
| format | Article |
| id | doaj-art-4c4d0292b11445f7b9b0e73dba157a36 |
| institution | DOAJ |
| issn | 1678-4227 |
| language | English |
| publishDate | 2011-12-01 |
| publisher | Thieme Revinter Publicações |
| record_format | Article |
| series | Arquivos de Neuro-Psiquiatria |
| spelling | doaj-art-4c4d0292b11445f7b9b0e73dba157a362025-08-20T03:20:13ZengThieme Revinter PublicaçõesArquivos de Neuro-Psiquiatria1678-42272011-12-0169687187410.1590/S0004-282X2011000700004S0004-282X2011000700004Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement?Renato Anghinah0Paulo Afonso Medeiros Kanda1Helder Frederico Lopes2Luis Fernando Hindi Basile3Sérgio Machado4Pedro Ribeiro5Bruna Velasques6Koichi Sameshima7Daniel Yasumasa Takahashi8Lécio Figueira Pinto9Paulo Caramelli10Ricardo Nitrini11Universidade de São PauloUniversidade de São PauloUniversidade de São PauloUniversidade de São PauloUniversidade Federal do Rio de JaneiroUniversidade Federal do Rio de JaneiroUniversidade Federal do Rio de JaneiroUniversidade de São PauloUniversidade de São PauloUniversidade de São PauloUniversidade Federal de Minas GeraisUniversidade de São PauloThere is evidence in electroencephalography that alpha, theta and delta band oscillations reflect cognitive and memory performances and that quantitative techniques can improve the electroencephalogram (EEG) sensitivity. This paper presents the results of comparative analysis of qEEG variables as reliable markers for Alzheimer's disease (AD). We compared the sensitivity and specificity between spectral analysis (spectA) and coherence (Coh) within the same group of AD patients. SpectA and Coh were calculated from EEGs of 40 patients with mild to moderate AD and 40 healthy elderly controls. The peak of spectA was smaller in the AD group than in controls. AD group showed predominance of slow spectA in theta and delta bands and a significant reduction of inter-hemispheric Coh for occipital alpha 2 and beta 1 and for frontal delta sub-band. ROC curve supported that alpha band spectA was more sensitive than coherence to differentiate controls from AD.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2011000700004&lng=en&tlng=eneletroencefalografiadoença de AlzheimerdemênciaEEGanálise espectralcoerência |
| spellingShingle | Renato Anghinah Paulo Afonso Medeiros Kanda Helder Frederico Lopes Luis Fernando Hindi Basile Sérgio Machado Pedro Ribeiro Bruna Velasques Koichi Sameshima Daniel Yasumasa Takahashi Lécio Figueira Pinto Paulo Caramelli Ricardo Nitrini Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement? Arquivos de Neuro-Psiquiatria eletroencefalografia doença de Alzheimer demência EEG análise espectral coerência |
| title | Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement? |
| title_full | Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement? |
| title_fullStr | Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement? |
| title_full_unstemmed | Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement? |
| title_short | Alzheimer's disease qEEG: spectral analysis versus coherence. which is the best measurement? |
| title_sort | alzheimer s disease qeeg spectral analysis versus coherence which is the best measurement |
| topic | eletroencefalografia doença de Alzheimer demência EEG análise espectral coerência |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0004-282X2011000700004&lng=en&tlng=en |
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