EEG Alterations in Subjects at High Familial Risk for Alzheimer’s Disease

Ponomareva, Natalia; Selesneva, N.D.; Jarikov, G.

doi:10.1159/000073633

Cited by 94 publications

(58 citation statements)

References 38 publications

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“…Dauwels et al (2010a, b) have further demonstrated that AD patients showed an increase of delta and theta spectrum and a decrease of alpha and/or beta spectrum. The increase in theta power generally appears during the early stage of AD, whereas the decrease in the alpha frequency is regarded as a characteristic of the developed stage of AD (Ponomareva et al 2003). Moreover, Fernández et al (2006) have drawn the similar conclusion by the analysis of spontaneous magnetoencephalography (MEG) signals.…”

Section: Discussionmentioning

confidence: 74%

Power spectral density and coherence analysis of Alzheimer’s EEG

et al. 2014

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In this paper, we investigate the abnormalities of electroencephalograph (EEG) signals in the Alzheimer's disease (AD) by analyzing 16-scalp electrodes EEG signals and make a comparison with the normal controls. The power spectral density (PSD) which represents the power distribution of EEG series in the frequency domain is used to evaluate the abnormalities of AD brain. Spectrum analysis based on autoregressive Burg method shows that the relative PSD of AD group is increased in the theta frequency band while significantly reduced in the alpha2 frequency bands, particularly in parietal, temporal, and occipital areas. Furthermore, the coherence of two EEG series among different electrodes is analyzed in the alpha2 frequency band. It is demonstrated that the pair-wise coherence between different brain areas in AD group are remarkably decreased. Interestingly, this decrease of pairwise electrodes is much more significant in inter-hemispheric areas than that in intra-hemispheric areas. Moreover, the linear cortico-cortical functional connectivity can be extracted based on coherence matrix, from which it is shown that the functional connections are obviously decreased, the same variation trend as relative PSD. In addition, we combine both features of the relative PSD and the normalized degree of functional network to discriminate AD patients from the normal controls by applying a support vector machine model in the alpha2 frequency band. It is indicated that the two groups can be clearly classified by the combined feature. Importantly, the accuracy of the classification is higher than that of any one feature. The obtained results show that analysis of PSD and coherence-based functional network can be taken as a potential comprehensive measure to distinguish AD patients from the normal, which may benefit our understanding of the disease.

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Section: Discussionmentioning

confidence: 74%

Power spectral density and coherence analysis of Alzheimer’s EEG

et al. 2014

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“…In the condition of resting state eyes closed, these rhythms showed changes in power along the pathological aging. When compared with Nold subjects, AD patients have been characterized by high power of delta (0-4 Hz) and theta (4-7 Hz) rhythms and low power of posterior alpha (8-12 Hz) and/or beta (13-30 Hz) rhythms [Babiloni et al, 2004;;Dierks et al, 1993Dierks et al, , 2000Huang et al, 2000;Jeong, 2004;Ponomareva et al, 2003;. These EEG abnormalities have been associated with altered regional cerebral blood flow/ metabolism and with impaired global cognitive function as evaluated by MMSE [Jeong, 2004;Rodriguez et al, 1998Rodriguez et al, , 1999aSloan et al, 1995].…”

Section: Introductionmentioning

confidence: 99%

Stability of clinical condition in mild cognitive impairment is related to cortical sources of alpha rhythms: An electroencephalographic study

Babiloni

Frisoni

Vecchio³

et al. 2010

Human Brain Mapping

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Previous evidence has shown that resting eyes-closed cortical alpha rhythms are higher in amplitude in mild cognitive impairment (MCI) than Alzheimer's disease (AD) subjects (Babiloni et al. [2006a]: Human Brain Mapp 27:162-172; [2006b]: Clin Neurophysiol 117:252-268; [2006c]: Neuroimage 29:948-964; [2006d]: Ann Neurol 59:323-334; [2006e]: Clin Neurophysiol 117:1113-1129; [2006f]: Neuroimage 31:1650-1665). This study tested the hypothesis that, in amnesic MCI subjects, high amplitude of baseline cortical alpha rhythms is related to long-term stability of global cognition on clinical follow-up. Resting electroencephalographic (EEG) data were recorded in 100 amnesic MCI subjects during eyes-closed condition. EEG rhythms of interest were delta (2-4 Hz), theta (4-8 Hz), alpha1 (8-10.5 Hz), alpha2 (10.5-13 Hz), beta1 (13-20 Hz), and beta2 (20-30 Hz). Cortical EEG sources were estimated by low-resolution brain electromagnetic tomography (LORETA). Global cognition was indexed by mini mental state evaluation (MMSE) score at the time of EEG recordings (baseline) and about after 1 year. Based on the MMSE percentage difference between baseline and 1-year follow-up (MMSEvar), the MCI subjects were retrospectively divided into three arbitrary groups: DECREASED (MMSEvar ≤ -4%; N = 43), STABLE (MMSEvar ≈ 0; N = 27), and INCREASED (MMSEvar ≥ +4%; N = 30). Subjects' age, education, individual alpha frequency, gender, and MMSE scores were used as covariates for statistical analysis. Baseline posterior cortical sources of alpha 1 rhythms were higher in amplitude in the STABLE than in the DECREASED and INCREASED groups. These results suggest that preserved resting cortical neural synchronization at alpha frequency is related to a long-term (1 year) stable cognitive function in MCI subjects. Future studies should use serial MMSE measurements to confirm and refine the present results.

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“…Why epileptic seizures are frequent in AD patients is still a mystery, but a study of transgenic APPSwe/PSEN1ΔE9 mice has recently shown that the accumulation of amyloid-β peptide induces principal neuron hyperexcitability, makes neural networks more sensitive, obstructing the communication between cells, and sets off seizures [81]. An increased risk of seizures has been observed in transgenic mice with the APOE ε4 allele [82], and human ε4 carriers (nondemented AD relatives) made to hyperventilate exhibited epileptiform activity on EEG [83,84]. The number of reports involving epileptic seizures and AD has grown in the last two years, forming a new theory explaining AD etiology: the ‘synaptic failure hypothesis’ [85].…”

Section: Discussionmentioning

confidence: 99%

Linkage Analysis of Autopsy-Confirmed Familial Alzheimer Disease Supports an Alzheimer Disease Locus in 8q24

Sillén

Brohede

Forsell

et al. 2011

Dement Geriatr Cogn Disord

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Background/Aims: We have previously reported the results of an extended genome-wide scan of Swedish Alzheimer disease (AD)-affected families; in this paper, we analyzed a subset of these families with autopsy-confirmed AD. Methods: We report the fine-mapping, using both microsatellite markers and single-nucleotide polymorphisms (SNPs), in the observed maximum logarithm of the odds (LOD)-2 unit (LOD_max-2) region under the identified linkage peak, linkage analysis of the fine-mapping data with additionally analyzed pedigrees, and association analysis of SNPs selected from candidate genes in the linked interval. The subset was made on the criterion of at least one autopsy-confirmed AD case per family, resulting in 24 families. Results: Linkage analysis of a family subset having at least one autopsy-confirmed AD case showed a significant nonparametric single-point LOD score of 4.4 in 8q24. Fine-mapping under the linkage peak with 10 microsatellite markers yielded an increase in the multipoint (mpt) LOD score from 2.1 to 3.0. SNP genotyping was performed on 21 selected candidate transcripts of the LOD_max-2 region. Both family-based association and linkage analysis were performed on extended material from 30 families, resulting in a suggestive linkage at peak marker rs6577853 (mpt LOD score = 2.4). Conclusion: The 8q24 region has been implicated to be involved in AD etiology.

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EEG Alterations in Subjects at High Familial Risk for Alzheimer’s Disease

Cited by 94 publications

References 38 publications

Power spectral density and coherence analysis of Alzheimer’s EEG

Power spectral density and coherence analysis of Alzheimer’s EEG

Stability of clinical condition in mild cognitive impairment is related to cortical sources of alpha rhythms: An electroencephalographic study

Linkage Analysis of Autopsy-Confirmed Familial Alzheimer Disease Supports an Alzheimer Disease Locus in 8q24

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