Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint

Babiloni, Claudio; Visser, Pieter Jelle; Frisoni, Giovanni B.; Deyn, Peter Paul De; Bresciani, Lorenzo; Jelić, Vesna; Nagels, Guy; Rodriguez, Guido; Rossini, Paolo Maria; Vecchio, Fabrizio; Colombo, Danilo; Verhey, Frans R.J.; Wahlund, Lars‐Olof; Nobili, Flavio

doi:10.1016/j.neurobiolaging.2008.09.020

Cited by 101 publications

(101 citation statements)

References 59 publications

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“…Differences in Theta and Alpha bands have been reported between sporadic MCI and AD, existing a possible continuum from normal aging, MCI to AD [59], and similar differences between subjects with subjective memory complaints and with amnesic MCI [60]. Those differences are comparable with the differences reported for symptomatic subjects in the current study.…”

Section: Discussionsupporting

confidence: 89%

Precuneus Failures in Subjects of the PSEN1 E280A Family at Risk of Developing Alzheimer’s Disease Detected Using Quantitative Electroencephalography

Villa-Ochoa

Alonso

Duque

et al. 2017

JAD

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Background: Presenilin-1 (PSEN1) mutations are the most common cause of familial early onset Alzheimer's Disease (AD). The PSEN1 E280A (E280A) mutation has an autosomal dominant inheritance and is involved in the production of amyloid-β. In Antioquia, Colombia, there is the largest family group of carriers with E280A mutation. The study of mutation carriers provides an unique opportunity to identify brain changes in stages previous to AD. Electroencephalography (EEG) is a low cost and minimally invasiveness technique that enables the following of brain changes in AD.Objective: To examine how previous reported differences in EEG for Theta and Alpha-2 rhythms in E280A subjects are related to specific regions in cortex and could be tracked across different ages. Methods: EEG signals were acquired during resting state from non-carriers and carriers, asymptomatic and symptomatic, subjects from E280A kindred from Antioquia, Colombia. Independent Component Analysis and inverse solution methods were used to locate brain regions related to differences in Theta and Alpha-2 bands.Results: Independent Component Analysis helps to identify two components, mainly related to the Precuneus, were the differences in Theta and Alpha-2 exist simultaneously at asymptomatic and symptomatic stage. When a ratio between Theta and Alpha-2 is used significant correlations exist with age and a composite cognitive scale. Conclusion:Theta and Alpha-2 rhythms are altered in E280A subjects. The alterations are possible to track at Precuneus regions using EEG, ICA and inverse solution methods.

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Section: Discussionsupporting

confidence: 89%

Precuneus Failures in Subjects of the PSEN1 E280A Family at Risk of Developing Alzheimer’s Disease Detected Using Quantitative Electroencephalography

Villa-Ochoa

Alonso

Duque

et al. 2017

JAD

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“…In animal lesion studies, increased delta activity has been reported after destruction of the Nucleus Basalis [24], the main production site of acetylcholine [25]. A comparison of cortical source EEG with MR-based measurements of lobar brain volume (white and grey matter) revealed a negative correlation between the frontal white matter and the amplitude of the delta sources across MCI and Alzheimer subjects (AD), which support a transition hypothesis of brain structural and functional continuity between MCI and AD [26]. Changes of delta and theta waves were also related to pathological changes in cholinergic brain regions.…”

Section: Discussionmentioning

confidence: 75%

Neurophysiological Biomarker of Mild Cognitive Impairment

Dimpfel¹

2014

AAD

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Mild cognitive impairment is sometimes regarded as related to aging. However, statistically every second case turns into full dementia, which still is resistant to any treatment. It is therefore desirable to recognize deviations from normality as early as possible. This might be feasible by using quantitative EEG analysis in the presence of mental work. The present retrospective data analysis revealed a new quantitative biomarker indicating the degree of impairment. Current source density was calculated from 16 channel EEG using CATEEM ® software. Four different conditions were analyzed: relaxed state, performing a d2-concentration test, a calculation performance test and a memory test for 5 min each. Subjects older than 40 years were divided into two groups according to their DemTect score: 13 -18 (HC; n = 44) or 8 -12 (MCI; n = 45). Spectral power was chopped into six frequency ranges (delta, theta, alpha 1, alpha 2, beta 1 and beta 2). Average spectral power was enhanced in the MCI group in comparison to healthy subjects with respect to delta (p = 0.05) during relaxed state when all electrode positions were regarded. With respect to EEG recording during performance of three different psychometric tests it was recognized that mainly spectral changes during performance of the d2-concentration test were related to mild cognitive impairment. With regard to all electrode positions statistically significantly lower spectral power values were reached during the d2-test for delta (p = 0.001), theta (p = 0.0001) and alpha 1 waves (p = 0.08) in impaired subjects in comparison to healthy subjects. Regarding regions of interest increases of delta and theta power were seen in the fronto-temporal brain during performance of the d2-concentration test. These increases disappeared when looking at MCI data. In the centro-parietal region decreases of alpha and beta 1 power emerged, which were even larger in MCI subjects. No MCI-dependent changes were observed in the other two tests. A correlation was found between psychometric performance of the d2-test and the DemTect score (r = 0.51). MCI subjects had statistically significant worse performance in all three mental challenges in comparison to healthy volunteers. It is concluded that MCI can be characterized at an early stage by EEG recording in the relaxed state. High spectral delta and theta power in general and specifically at fronto-

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“…In addition, negative correlations with tests such as the TMTB or semantic fluency were described by the authors. Babiloni et al (2010) described negative correlations between delta power, Stroop and digitsymbol tests, while alpha 1 power was directly correlated with these neuropsychological measures. Although these investigations assessed the correlation between spectral and neuropsychological data, the importance of the regional distribution was not explicitly explored.…”

Section: Discussionmentioning

confidence: 93%

“…The authors assessed a potential influence of the clinical subtype (i.e., a-MCI vs. na-MCI) and found no significant differences. In a subsequent study (Babiloni et al 2010), the issue was explicitly investigated by comparing EEG rhythms in a-MCIs, na-MCIs, and aged subjects with subjective memory complaints. Results showed increased occipital theta and reduced alpha activity in a-MCI, as compared to na-MCI.…”

Section: Introductionmentioning

confidence: 99%

MEG spectral analysis in subtypes of mild cognitive impairment

López

Cuesta

Garcés

et al. 2014

AGE

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Mild cognitive impairment (MCI) has been described as an intermediate stage between normal aging and dementia. Previous studies characterized the alterations of brain oscillatory activity at this stage, but little is known about the differences between single and multidomain amnestic MCI patients. In order to study the patterns of oscillatory magnetic activity in amnestic MCI subtypes, a total of 105 subjects underwent an eyes-closed resting-state magnetoencephalographic recording: 36 healthy controls, 33 amnestic single domain MCIs (a-sd-MCI), and 36 amnestic multidomain MCIs (a-md-MCI). Relative power values were calculated and AGE (2014) compared among groups. Subsequently, relative power values were correlated with neuropsychological tests scores and hippocampal volumes. Both MCI groups showed an increase in relative power in lower frequency bands (delta and theta frequency ranges) and a decrease in power values in higher frequency bands (alpha and beta frequency ranges), as compared with the control group. More importantly, clear differences emerged from the comparison between the two amnestic MCI subtypes. The a-md-MCI group showed a significant power increase within delta and theta ranges and reduced relative power within alpha and beta ranges. Such pattern correlated with the neuropsychological performance, indicating that the a-md-MCI subtype is associated not only with a "slowing" of the spectrum but also with a poorer cognitive status. These results suggest that a-md-MCI patients are characterized by a brain activity profile that is closer to that observed in Alzheimer disease. Therefore, it might be hypothesized that the likelihood of conversion to dementia would be higher within this subtype.

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Cortical sources of resting EEG rhythms in mild cognitive impairment and subjective memory complaint

Cited by 101 publications

References 59 publications

Precuneus Failures in Subjects of the PSEN1 E280A Family at Risk of Developing Alzheimer’s Disease Detected Using Quantitative Electroencephalography

Precuneus Failures in Subjects of the PSEN1 E280A Family at Risk of Developing Alzheimer’s Disease Detected Using Quantitative Electroencephalography

Neurophysiological Biomarker of Mild Cognitive Impairment

MEG spectral analysis in subtypes of mild cognitive impairment

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