Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

Stomrud, Erik; Hansson, Oskar; Minthon, Lennart; Blennow, Kaj; Rosén, Ingmar; Londos, Elisabet

doi:10.1016/j.neurobiolaging.2008.03.025

Cited by 97 publications

(77 citation statements)

References 60 publications

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“…Prichep et al [18] demonstrated that baseline qEEG features such as increases in τ-power, slowing of mean frequency and changes in covariance among regions were differential predictors of cognitive decline in normal, subjectively impaired elderly subjects over 7 years of a follow-up interval. Stomrud et al [24] investigated by EEG and CSF analysis elderly individuals with repeated normal scores on cognitive tests over 4.5 years and found that increased T-tau protein and low Aβ42 in combination directly correlated with an increase in relative τ-power in qEEG as well as with slowing of cognitive speed. It is interesting that similarly to our findings it was an AD-associated profile of CSF biomarkers (increased T-tau and decreased Aβ42/P-tau ratio) that showed the strongest correlations with EEG and neuropsychological parameters.…”

Section: Discussionmentioning

confidence: 99%

“…A correlation between T-tau protein and slowing of EEG global field power in AD was reported [23]. In healthy and cognitively normal elderly individuals, the combination of high T-tau protein and low Aβ42 proteins was correlated with an increase in the τ-power in the EEG [24]. Both studies used qEEG parameters and none of them applied the visual EEG assessment approach.…”

Section: Introductionmentioning

confidence: 99%

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Association between EEG Abnormalities and CSF Biomarkers in a Memory Clinic Cohort

Kramberger

Kåreholt

Andersson³

et al. 2013

Dement Geriatr Cogn Disord

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Background: The aim of the study was to describe distinct electroencephalogram (EEG) phenotypes defined after routine visual EEG analysis in a large memory clinic cohort and to investigate their relationship to cerebrospinal fluid (CSF) biomarkers. Methods: Patients with Alzheimer's disease (n = 131), mild cognitive impairment (n = 285), subjective cognitive impairment (n = 310), and mixed dementia (n = 29) were assessed clinically with neuroimaging, EEG and CSF investigations. EEG phenotypes were based on frequency of background activity (BA) and presence and degree of episodic abnormalities (EA). Results: BA and EA differed significantly (p < 0.001) between diagnostic groups. A lower CSF amyloid β42/phospho-tau ratio and higher total tau were associated with slower BA (p < 0.01) and a higher degree of EA (p < 0.04). Conclusions: Slowing of BA in combination with EA seems to be related to biological markers of neurodegeneration.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Association between EEG Abnormalities and CSF Biomarkers in a Memory Clinic Cohort

Kramberger

Kåreholt

Andersson³

et al. 2013

Dement Geriatr Cogn Disord

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“…In cognitively normal elderly subjects, CSF total-tau and p-tau levels as well as the combined p-tau/Aβ42 ratio are associated with relative EEG theta power, especially in posterior brain regions. This increase in theta power correlates with a slowing of cognitive speed, indicating that increased theta oscillations in posterior regions may represent an early sign of neurodegeneration in the brain [33]. This activity is often interpreted as a slowing of alpha rhythm, In line with this view, the results of the study by Finnigan and Robertson [34], on healthy elderly subjects, proposed the existence of 2 forms of theta frequency oscillation, one indicative of healthy neurocognitive function and the other representing an EEG/alpha slowing linked to future substantial cognitive decline .…”

Section: Aging and Cortical Oscillationsmentioning

confidence: 99%

Healthy and Pathological Brain Aging: From the Perspective of Oscillations, Functional Connectivity, and Signal Complexity

et al. 2017

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Healthy aging is associated with impairment in cognitive information processing. Several neuroimaging methods such as functional magnetic resonance imaging, positron emission tomography and near-infrared spectroscopy have been used to explore healthy and pathological aging by relying on hemodynamic or metabolic changes that occur in response to brain activity. Since electroencephalography (EEG) and magnetoencephalography (MEG) are able to measure neural activity directly with a high temporal resolution of milliseconds, these neurophysiological techniques are particularly important to investigate the dynamics of brain activity underlying neurocognitive aging. It is well known that age is a major risk factor for Alzheimer’s disease (AD), and that synaptic dysfunction represents an early sign of this disease associated with hallmark neuropathological findings. However, the neurophysiological mechanisms underlying AD are not fully elucidated. This review addresses healthy and pathological brain aging from a neurophysiological perspective, focusing on oscillatory activity changes during the resting state, event-related potentials and stimulus-induced oscillatory responses during cognitive or motor tasks, functional connectivity between brain regions, and changes in signal complexity. We also highlight the accumulating evidence on age-related EEG/MEG changes and biological markers of brain neurodegeneration, including genetic factors, structural abnormalities on magnetic resonance images, and the biochemical changes associated with Aβ deposition and tau pathology.

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“…The second approach is represented by use of psychometric tasks (cognitive testing) like the d2-test for concentration, a memory test or performance of arithmetic calculations [8]. The third approach very often is covered by a neurophysiological methodology, usually recording of quantitative electroencephalography [9] [10] or biochemical parameters from cerebrospinal fluid [11]. Thus, a combination of measurements on these three levels should be able to provide a quantitative definition of mild cognitive impairment and fulfil the criteria for an early diagnosis and recognition of the risk potential.…”

Section: Introductionmentioning

confidence: 99%

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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Slowing of EEG correlates with CSF biomarkers and reduced cognitive speed in elderly with normal cognition over 4 years

Cited by 97 publications

References 60 publications

Association between EEG Abnormalities and CSF Biomarkers in a Memory Clinic Cohort

Association between EEG Abnormalities and CSF Biomarkers in a Memory Clinic Cohort

Healthy and Pathological Brain Aging: From the Perspective of Oscillations, Functional Connectivity, and Signal Complexity

Neurophysiological Biomarker of Mild Cognitive Impairment

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