Apport de l'EEG quantifié au diagnostic de démence de type Alzheimer

Guéguen, B.; Derouesné, Christian; Bourdel, M.C.; Guillou, Sandrine Le; Landré, Elisabeth; Gaches, J; Hossard, H; Ancri, D; Mann, M.

doi:10.1016/s0987-7053(05)80327-2

Cited by 24 publications

(5 citation statements)

References 27 publications

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“…Quantitative analysis of electroencephalographic (EEG) rhythms in resting subjects is a low-cost and useful neurophysiological approach to the study of normal aging and dementia (Brenner et al, 1986;Coben et al, 1983Coben et al, , 1990; Giaquinto and Nolfe, 1986;Gueguen et al, 1991;Leuchter et al, 1993;Maurer and Dierks, 1992;Schreiter-Gasser et al, 1993;Stigsby et al, 1981;Szelies et al, 1992;Visser et al, 1985). Indeed, scalp EEG rhythms are affected by Alzheimer's disease (AD; Besthorn et al, 1997;Chiaramonti et al, 1997;Schreiter-Gasser et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Mapping distributed sources of cortical rhythms in mild Alzheimer's disease. A multicentric EEG study

Babiloni

Binetti

Cassetta³

et al. 2004

NeuroImage

267

268

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The study aimed at mapping (i) the distributed electroencephalographic (EEG) sources specific for mild Alzheimer's disease (AD) compared to vascular dementia (VaD) or normal elderly people (Nold) and (ii) the distributed EEG sources sensitive to the mild AD at different stages of severity. Resting EEG (10-20 electrode montage) was recorded from 48 mild AD, 20 VaD, and 38 Nold subjects. Both AD and VaD patients had 24-17 of mini mental state examination (MMSE). EEG rhythms were delta (2-4 Hz), theta (4-8 Hz), alpha 1 (8-10.5 Hz), alpha 2 (10.5-13 Hz), beta 1 (13-20 Hz), and beta 2 (20-30 Hz). Cortical EEG sources were modeled by low resolution brain electromagnetic tomography (LORETA). Regarding issue i, there was a decline of central, parietal, temporal, and limbic alpha 1 (low alpha) sources specific for mild AD group with respect to Nold and VaD groups. Furthermore, occipital alpha 1 sources showed a strong decline in mild AD compared to VaD group. Finally, distributed theta sources were largely abnormal in VaD but not in mild AD group. Regarding issue ii, there was a lower power of occipital alpha 1 sources in mild AD subgroup having more severe disease. Compared to previous field studies, this was the first investigation that illustrated the power spectrum profiles at the level of cortical (macroregions) EEG sources in mild AD patients having different severity of the disease with respect to VaD and normal subjects. Future studies should evaluate the clinical usefulness of this approach in early differential diagnosis, disease staging, and therapy monitoring.

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Section: Introductionmentioning

confidence: 99%

Mapping distributed sources of cortical rhythms in mild Alzheimer's disease. A multicentric EEG study

Babiloni

Binetti

Cassetta³

et al. 2004

NeuroImage

267

268

View full text Add to dashboard Cite

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“…Quantitative analysis of electroencephalographic (EEG) rhythms in resting subjects is a low-cost and potentially useful neurophysiological approach to the study of normal aging and dementia (Gueguen et al, 1991;Maurer and Dierks, 1992;Szelies et al, 1992;Leuchter et al, 1993;Schreiter-Gasser et al, 1993;Bennys et al, 2001). This type of analysis includes the estimation of the power density of selected EEG frequency bands (AD; Besthorn et al, 1997;Chiaramonti et al, 1997;Schreiter-Gasser et al, 1994).…”

Section: Introductionmentioning

confidence: 99%

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Moretti

Babiloni

Binetti

et al. 2004

Clinical Neurophysiology

337

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Objective: This EEG study investigates the role of the cholinergic system, cortico-cortical connections, and sub-cortical white matter on the relationship between individual EEG frequencies and their relative power bands.Methods: EEGs were recorded at rest in 30 normal elderly subjects (Nold), 60 mild Alzheimer disease (AD) and 20 vascular dementia (VaD) patients, comparable for Mini Mental State Evaluation scores . Individual EEG frequencies were indexed by the theta/alpha transition frequency (TF) and by the individual alpha frequency (IAF) with power peak in the extended alpha range (5 -14 Hz). Relative power was separately computed for delta, theta, alpha1, alpha2, and alpha3 bands, on the basis of the TF and IAF.Results: Using normal subjects as a reference, VaD patients showed 'slowing' of alpha frequency (TF-IAF) and lower alpha2 power; Mild AD patients showed lower alpha2 and alpha3 power; delta power was higher in both AD and VaD patients; Theta power was higher only in VaD patients.Conclusions: Individual analysis of the alpha frequency and power can discriminate mild AD from VaD and normal elderly subjects.Significance: This analysis may probe pathophysiological mechanisms causing AD and VaD.

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“…The quantitative analysis of electroencephalographic (EEG) rhythms in resting subjects is a low-cost but still powerful approach to the study of elderly subjects in normal aging, MCI and dementia (Gueguen et al, 1991;Maurer and Dierks, 1992;Leuchter et al, 1993;Schreiter-Gasser et al, 1993;Zappoli et al, 1995;Jelic et al, 1996Jelic et al, , 2000Huang et al, 2000;Bennys et al, 2001;Koenig et al, 2005;Babiloni et al, 2006a,b;Prichep et al, 2006;Rossini et al, 2006). The anchor point for a quantitative analysis of the EEG is the a rhythm, which dominates the EEG power spectrum in resting, awake and healthy subjects (Elul, 1972;Lopes da Silva et al, 1976Steriade and Llinas, 1988;Singer, 1993;Destexhe and Sejnowski, 1996;Klimesch, 1997Klimesch, , 1999Pfurtscheller and Lopes da Silva, 1999;Nunez et al, 2001;Suffczynski et al, 2001;Klimesch et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Vascular damage and EEG markers in subjects with mild cognitive impairment

Moretti

Miniussi

Frisoni

et al. 2007

Clinical Neurophysiology

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Objective: We evaluated the changes induced by cerebrovascular (CV) damage on brain rhythmicity recorded by electroencephalography (EEG) in a cohort of subjects with mild cognitive impairment (MCI). Methods: We enrolled 99 MCI subjects (Mini-Mental State Examination [MMSE] mean score 26.6). All subjects underwent EEG recording and magnetic resonance imaging (MRI). EEGs were recorded at rest. Individual EEG frequencies were indexed by the h/a transition frequency (TF) and by the individual a frequency (IAF) with power peak in the extended a range (5-14 Hz). Relative power was separately computed for d, h, a1, a2, and a3 frequency bands on the basis of the TF and IAF values. Subsequently, we divided the cohort in four sub-groups based on subcortical CV damage as scored by the age-related white matter changes scale (ARWMC). Results: CV damage was associated with 'slowing' of TF proportional to its severity. In the spectral bandpower the severity of vascular damage was associated with increased d power and decreased a2 power. No association of vascular damage was observed with IAF and a3 power. Moreover, the h/a1 ratio could be a reliable index for the estimation of the individual extent of CV damage. Conclusions: EEG analysis may show physiological markers sensitive to CV damage. The appropriate use of this EEG index may help the differential diagnosis of different forms of cognitive decline, namely primary degenerative and secondary to CV damage. Significance: The EEG neurophysiological approach, together with anatomical features from imaging, could be helpful in the understanding of the functional substrate of dementing disorders.

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Apport de l'EEG quantifié au diagnostic de démence de type Alzheimer

Cited by 24 publications

References 27 publications

Mapping distributed sources of cortical rhythms in mild Alzheimer's disease. A multicentric EEG study

Mapping distributed sources of cortical rhythms in mild Alzheimer's disease. A multicentric EEG study

Individual analysis of EEG frequency and band power in mild Alzheimer's disease

Vascular damage and EEG markers in subjects with mild cognitive impairment

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