EEG spectral analysis in Alzheimer's disease and different degenerative dementias

Pucci, Eugenio; Cacchiò, Gabriella; Angeloni, Rossano; Belardinelli, Natascia; Nolfe, G.; Signorino, Mario; Angeleri, F

doi:10.1016/s0167-4943(98)00012-0

Cited by 34 publications

(27 citation statements)

References 33 publications

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“…Results are in accordance with those obtained defining several power ratios to study EEG recordings [20−24]. Increase in slow activity has also been observed in the EEG spectral profile, where a spectrum shifted to the left [25] and the lack of a dominant activity in the 6.5-12 Hz frequency band [26] have been described. Similarly, several EEG studies considered some proper frequencies like mean frequency [19,20,25], individual alpha peak and transition frequency [27].…”

Section: Introductionsupporting

confidence: 90%

“…EEG and MEG slowing have not only been observed in AD, but also in other forms of dementia as mild cognitive impairment [18,19,32], vascular dementia [25,27], dementia associated with Parkinson's disease [26,48], Lewy body dementia [26,28,49], major depression [50,51], Huntington's chorea and progressive supranuclear palsy [16,26]. Further investigation should be attempted in order to study differences in slowing for every disorder.…”

Section: Insert Table 4 About Herementioning

confidence: 99%

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Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Poza

Hornero

Abásolo

et al. 2008

Computer Methods and Programs in Biomedicine

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Section: Introductionsupporting

confidence: 90%

Section: Insert Table 4 About Herementioning

confidence: 99%

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Poza

Hornero

Abásolo

et al. 2008

Computer Methods and Programs in Biomedicine

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“…In a similar sense, both EEG and MEG slowing have also been reported in other neurodegenerative diseases like mild cognitive impairment [13,36], vascular dementia [28,35,54], Lewy body dementia [18,31], major depression [34,55,56], dementia associated with Parkinson's disease [31,57,58], Pick's disease [59], Huntington's chorea [60] and progressive supranuclear palsy [31]. To extract accurate markers of AD, further studies should analyze differences in the slowing of EEG/MEG rhythms when comparing AD and the aforementioned diseases.…”

Section: Discussionsupporting

confidence: 57%

“…Regarding to the severity of AD subjects, they enrolled patients with a mean MMSE score of 19.8. The IAF has also been calculated in previous EEG studies analyzing brain activity at rest [11,28,31,33,35]. The obtained results showed a reduction in the frequency of the alpha peak, when it was calculated as the maximum in the alpha band [11,31,35], as well as the mean frequency in the alpha range [28,33].…”

Section: Discussionmentioning

confidence: 92%

“…They characterize the shape of the power spectrum. A power spectrum shifted to the left has been observed in AD patients' EEG [28,29], along with an absence of a dominant activity from 6.5 to 12 Hz [30,31]. The topography of the EEG power spectrum in AD has also been studied by means of power measures [32] and using several spectral parameters like mean frequency [10,11,13,28,33,34], peak frequency [11,28,33,35] and transition frequency [35].…”

Section: Introductionmentioning

confidence: 99%

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Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease

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Abásolo

et al. 2007

Medical Engineering & Physics

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Apolipoprotein E and alpha brain rhythms in mild cognitive impairment: A multicentric Electroencephalogram study

Babiloni

Benussi

Binetti

et al. 2005

Annals of Neurology

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Objective: Relationships between the apolipoprotein E 4 allele and electroencephalographic (EEG) rhythmicity have been demonstrated in Alzheimer's disease (AD) patients but not in the preclinical stage prodromic to it, namely, mild cognitive impairment (MCI). The present multicentric EEG study tested the hypothesis that presence of 4 affects sources of resting EEG rhythms in both MCI and AD subjects. Methods: We enrolled 89 MCI subjects (34.8% with 4) and 103 AD patients (50.4% with 4). Resting eyes-closed EEG data were recorded for all subjects. EEG rhythms of interest were delta (2-4Hz), theta (4 -8Hz), alpha 1 (8 -10.5Hz), alpha 2 (10.5-13Hz), beta 1 (13-20Hz), and beta 2 (20 -30Hz). EEG cortical sources were estimated by low-resolution brain electromagnetic tomography. Results: Results showed that amplitude of alpha 1 and 2 sources in occipital, temporal, and limbic areas was lower in subjects carrying the 4 allele than in those not carrying the 4 allele (p < 0.01). This was true for both MCI and AD. For the first time to our knowledge, a relationship was shown between ApoE genotype and global neurophysiological phenotype (ie, cortical alpha rhythmicity) in a preclinical AD condition, MCI, in addition to clinically manifest AD. Interpretation: Such a demonstration motivates future genotype-EEG phenotype studies for the early prediction of AD conversion in individual MCI subjects. Neurol 2006;59:323-334 Mild cognitive impairment (MCI) is characterized by selective memory impairment insufficient to meet criteria for a diagnosis of dementia. Ann1-3 This condition is considered as a prodromic stage of Alzheimer's disease (AD), 4 -6 because a high rate of progression to AD has been clearly shown. 3,7,8 Annual conversion rate to AD is 0.2 to 3.9% in normal aging (with no MCI symptoms) and 6 to 25% in MCI subjects. 3,9 At the end of 6 years of observation, approximately 80% of MCI subjects develop AD.10 Taken together, these data suggest the hypothesis that in most (yet not all) of cases, MCI is a transition state on a linear progression toward AD. According to such a hypothesis, early identification of MCI patients might be clinically crucial. 11,12 In mild AD, electroencephalographic (EEG) rhythms differ from normal elderly (Nold) and vascular dementia subjects, AD patients being characterized by higher delta (0 -3Hz) and lower parietooccipital alpha (8 -12Hz).13-17 Similarly, MCI subjects have shown increase of theta (4 -7Hz) power 18 -20 as well as decrease of alpha power, 15,18 -22 when compared with Nold subjects. These EEG parameters have presented an intermediate magnitude in MCI with respect to Nold and dementia patients. 15,23,24 Despite the converging evidence of abnormal cortical rhythms in MCI and AD, EEG analysis alone is unable to predict conversion of MCI to dementia. It is reasonable that additional biological parameters are needed for this purpose. In this regard, several studies have shown a strict relationship between apolipoproFrom the

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EEG spectral analysis in Alzheimer's disease and different degenerative dementias

Cited by 34 publications

References 33 publications

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Evaluation of spectral ratio measures from spontaneous MEG recordings in patients with Alzheimer's disease

Extraction of spectral based measures from MEG background oscillations in Alzheimer's disease

Apolipoprotein E and alpha brain rhythms in mild cognitive impairment: A multicentric Electroencephalogram study

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