Alterations in rhythmic and non‐rhythmic resting‐state EEG activity and their link to cognition in older age

Cesnaite, Elena; Steinfath, Paul; Idaji, Mina Jamshidi; Stephani, Tilman; Kumral, Deniz; Haufe, Stefan; Sander, Christian; Hensch, Tilman; Hegerl, Ulrich; Riedel‐Heller, Steffi G.; Röhr, Susanne; Schroeter, Matthias L.; Witte, A. Veronica; Villringer, Arno; Nikulin, Vadim V.

doi:10.1016/j.neuroimage.2022.119810

Cited by 28 publications

(18 citation statements)

References 57 publications

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“…Additionally, the stability of IAPF over the life course reflects the preserved functionality of the central nervous system (Grandy et al, 2013). Regarding cognition, IAPF has previously demonstrated a positive relationship with interference resolution in working memory performance, primarily observed in the temporal lobes (Cesnaite et al, 2023). This may indicate that IAPF plays a functional role in the ability to disregard and suppress interfering information.…”

Section: Discussionmentioning

confidence: 99%

“…Window-overlap was 50%. Due to the small number of EEG channels, we grouped cortical vertices into major regions (ROIs), aggregated accordingly to Desikan-Killiany atlas by following a similar approach (Cesnaite et al, 2023).…”

Section: Methodsmentioning

confidence: 99%

“…Thus, although other processing parameters could have been chosen, we achieved suitable spectral parameterization across participants and regions. Compared to previous studies using the specparam algorithm, where frequency range varies, many used 40 Hz as the upper frequency range (Cesnaite et al, 2023; Merkin et al, 2021; Tröndle et al, 2023). For sake of clarity, using 48 Hz as upper frequency is also a widely adopted option (Iemi et al, 2019; van Nifterick et al, 2023), and stays within the recommendations of the algorithm’s authors.. All participants showed a discernible alpha peak in the PSD (see an example in Figure 1).…”

Section: Methodsmentioning

confidence: 99%

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Aperiodic component of EEG power spectrum and cognitive performance in aging: the role of education

Montemurro,

Borek,

Marinazzo

et al. 2023

Preprint

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Aging is associated with changes in the oscillatory (periodic) brain activity in the alpha band (8-12 Hz), as measured with resting-state EEG (rsEEG), and it is characterized by significantly lower alpha frequency and power. Aging can influence the aperiodic component of the power spectrum: at a higher age, the slope flattens, and it may show a significant relationship with cognitive performance. However, it is unclear whether education, a cognitive reserve proxy known for its modulatory role on cognition, may influences such relationship. N=179 healthy participants from the LEMON dataset (Babayan et al., 2019) were classified into three groups based on age and education: young adults (N=123) 20-35 years old with high education, older adults 60-77 years old with high (N=24) and low (N=32) education. Eyes-closed rsEEG power spectrum was decomposed at the occipital level with specparam method. Individual Alpha Peak Frequency, exponent, and offset were analyzed in their relationship with cognitive abilities. Results show lower IAPF, exponent, and offset in older as compared to younger adults. Furthermore, visual attention and working memory were differently predicted by the aperiodic rsEEG component depending on educational levels: in older adults with higher education, increasing exponent predicted slower processing speed and less working memory capacity, with an opposite trend in those with lower education.Although further investigations are necessary, this study shows a potential modulatory role of education and other cognitive reserve proxies in the relationship between aperiodic rsEEG and cognition in aging.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Aperiodic component of EEG power spectrum and cognitive performance in aging: the role of education

Montemurro,

Borek,

Marinazzo

et al. 2023

Preprint

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“…There is an increasing need for biomarkers of mental and cognitive health. Recent advances in the field of cognitive neuroscience in general and neuroimaging, in particular, allow us to use non-invasive measures like Electroencephalography (EEG), Magnetoencephalography (MEG), functional MRI (fMRI) and diffusion MRI (dMRI) to make estimates about cognitive health (Woo et al, 2017;Dubois & Adolphs, 2016;Yamashita et al, 2018;Lefebvre et al, 2018;Hong et al, 2020;Murty et al, 2020;Cesnaite et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Default Mode and Dorsal Attention Network functional connectivity associated with alpha and beta peak frequency in individuals

Tripathi

Somers

2023

Preprint

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Alpha- and Beta-frequency oscillatory waves are evident in resting-state electro- and magneto-encephalography (EEG, MEG). Higher peak frequencies for Alpha and Beta are associated with greater cognitive health. Aging slows down the alpha and beta waves which are also affected by mental states, disorders such as ADHD, and sleep deprivation. Functional magnetic resonance imaging (fMRI) of resting-state brain activity reveals anti-correlation of very low frequency (< 0.1 Hz) fluctuations between two distributed cerebral cortical networks, the Dorsal Attention Network (DAN) and the Default Mode Network (DMN). DAN activation is related to attentional demands in extrinsic tasks, whereas DMN is associated with mind wandering, episodic memory retrieval, and intrinsic processing. Prior research has found that higher DAN-DMN anticorrelation is related to greater cognitive and mental health. Here, we investigated whether these two measures of cognitive and mental health are related to each other within individuals. We investigated resting-state Functional Connectivity (rsFC) between the DMN and DAN using fMRI and alpha and beta peaks from MEG using two large datasets (n=89 and n=189). We found that more robust anti-correlations between DMN and DAN regions are related to higher peak frequencies of alpha and beta rhythms in the brain. Subjects with higher alpha peak frequencies also show stronger positive within-network connectivity in both the DMN and DAN networks. Females show stronger correspondence between the two measures as compared to males. This association between two non-invasive cognitive neuroscience modalities adds to the growing literature on the biomarkers of cognitive and mental health.

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“…Sophisticated methods [5]- [7] support estimation of the 1/f-like, scale-free [8] or power-law [9] behavior of neural field spectra. Changes in 𝛽, the aperiodic exponent, have been investigated in many domains, including sleep [10]- [13], aging [14]- [16], schizophrenia [17], stroke [18], tumor [19], Tourette syndrome [20], attentiondeficit/hyperactivity disorder (ADHD) [21], [22], anesthesia [10], [23], [24], and alcohol intoxication [25]. While many factors impact estimation of the aperiodic exponent (e.g., the frequency range analyzed [26], [27]), values of the exponent reported at higher frequencies (>20 Hz) typically range between -4 and -2 (Table 1).…”

Section: Introductionmentioning

confidence: 99%

The 1/f-like behavior of neural field spectra are a natural consequence of noise driven brain dynamics

Chu

2023

Preprint

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Consistent observations across recording modalities, experiments, and neural systems find neural field spectra with 1/f-like scaling, eliciting many alternative theories to explain this universal phenomenon. We propose a simple generative mechanism with equivalent physical and statistical interpretations. This framework demonstrates how correlated and uncorrelated noise generate 1/f-like spectra consistent with in vivo observations, without requiring a specific biological mechanism or collective critical behavior.

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Alterations in rhythmic and non‐rhythmic resting‐state EEG activity and their link to cognition in older age

Cited by 28 publications

References 57 publications

Aperiodic component of EEG power spectrum and cognitive performance in aging: the role of education

Aperiodic component of EEG power spectrum and cognitive performance in aging: the role of education

Default Mode and Dorsal Attention Network functional connectivity associated with alpha and beta peak frequency in individuals

The 1/f-like behavior of neural field spectra are a natural consequence of noise driven brain dynamics

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