Changes in cortical slow wave activity in healthy aging

Leirer, Vera Maria; Wienbruch, Christian; Kolassa, Stephan; Schlee, Winfried; Elbert, Thomas; Kolassa, Iris‐Tatjana

doi:10.1007/s11682-011-9126-3

Cited by 40 publications

(36 citation statements)

References 36 publications

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“…Interestingly, the healthy elderly subjects who were able to maintain enhanced delta and theta power, specifically in the temporal and central regions, exhibited improved performance of tasks, and was associated with perceptual speed and working memory functioning [36]. Taken together, these findings and those of Finnigan and Robertson [34] suggest that, when there is no alpha slowing, a relative increase in the power of slow activity, particularly theta oscillations, may be indicative of healthy neurocognitive function rather than of age-related cognitive decline [34-37]. …”

Section: Aging and Cortical Oscillationsmentioning

confidence: 98%

“…Hartikainen et al [35], using EEG, were among the first researchers to notice that delta and theta oscillations were lower in elderly people than in a group of younger subjects, leading to the assumption that a slow activity pattern is not always associated with aging . Furthermore, several MEG investigations have found a link between healthy aging and a global decrease in resting-state slow-wave power that may be accompanied by a worse performance on various cognitive tasks [36, 37]. Interestingly, the healthy elderly subjects who were able to maintain enhanced delta and theta power, specifically in the temporal and central regions, exhibited improved performance of tasks, and was associated with perceptual speed and working memory functioning [36].…”

Section: Aging and Cortical Oscillationsmentioning

confidence: 99%

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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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Section: Aging and Cortical Oscillationsmentioning

confidence: 98%

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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“…For example, electrophysiological activities in the brain may vary depending on the age group (27). Studies report a clear association between oscillatory activity and healthy aging, showing decrease in slow-wave activity in older healthy participants compared to younger ones (205, 206). …”

Section: Possible Sources Of Variability Between M/eeg Studies Of Tinmentioning

confidence: 99%

The Application of Electro- and Magneto-Encephalography in Tinnitus Research â€“ Methods and Interpretations

Adjamian

2014

Front. Neurol.

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In recent years, there has been a significant increase in the use of electroencephalography (EEG) and magnetoencephalography (MEG) to investigate changes in oscillatory brain activity associated with tinnitus with many conflicting results. Current view of the underlying mechanism of tinnitus is that it results from changes in brain activity in various structures of the brain as a consequence of sensory deprivation. This in turn gives rise to increased spontaneous activity and/or synchrony in the auditory centers but also involves modulation from non-auditory processes from structures of the limbic and paralimbic system. Some of the neural changes associated with tinnitus may be assessed non-invasively in human beings with MEG and EEG (M/EEG) in ways, which are superior to animal studies and other non-invasive imaging techniques. However, both MEG and EEG have their limitations and research results can be misinterpreted without appropriate consideration of these limitations. In this article, I intend to provide a brief review of these techniques, describe what the recorded signals reflect in terms of the underlying neural activity, and their strengths and limitations. I also discuss some pertinent methodological issues involved in tinnitus-related studies and conclude with suggestions to minimize possible discrepancies between results. The overall message is that while MEG and EEG are extremely useful techniques, the interpretation of results from tinnitus studies requires much caution given the individual variability in oscillatory activity and the limits of these techniques.

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“…Compared with fMRI which gives an indirect estimate of brain activity through hemodynamic responses, MEG provides a direct measure of electrophysiological activity, reflecting neuronal communication with great temporal resolution (Hämäläinen et al 1993) and, therefore, allowing the investigation of several brain rhythms (1-100 Hz). Indeed, MEG oscillatory activity has been proven useful in measuring both spontaneous and task-induced brain rhythms in normal and pathological aging (Fernández et al 2006;Osipova et al 2006;Stam 2010;Leirer et al 2011;Bajo et al 2010;Zamrini et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

López

Garcés

Cuesta

et al. 2014

AGE

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Mild cognitive impairment (MCI) is a stage between healthy aging and dementia. It is known that in this condition the connectivity patterns are altered in the resting state and during cognitive tasks, where an extra effort seems to be necessary to overcome cognitive decline. We aimed to determine the functional connectivity AGE (2014) pattern required to deal with an internally directed cognitive state (IDICS) in healthy aging and MCI. This task differs from the most commonly employed ones in neurophysiology, since inhibition from external stimuli is needed, allowing the study of this control mechanism. To this end, magnetoencephalographic (MEG) signals were acquired from 32 healthy individuals and 38 MCI patients, both in resting state and while performing a subtraction task of two levels of difficulty. Functional connectivity was assessed with phase locking value (PLV) in five frequency bands. Compared to controls, MCIs showed higher PLV values in delta, theta, and gamma bands and an opposite pattern in alpha, beta, and gamma bands in resting state. These changes were associated with poorer neuropsychological performance. During the task, this group exhibited a hypersynchronization in delta, theta, beta, and gamma bands, which was also related to a lower cognitive performance, suggesting an abnormal functioning in this group. Contrary to controls, MCIs presented a lack of synchronization in the alpha band which may denote an inhibition deficit. Additionally, the magnitude of connectivity changes rose with the task difficulty in controls but not in MCIs, in line with the compensation-related utilization of neural circuits hypothesis (CRUNCH) model.

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Changes in cortical slow wave activity in healthy aging

Cited by 40 publications

References 36 publications

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

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

The Application of Electro- and Magneto-Encephalography in Tinnitus Research â€“ Methods and Interpretations

Synchronization during an internally directed cognitive state in healthy aging and mild cognitive impairment: a MEG study

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