Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging

Rempe, Maggie; Lew, Brandon J.; Embury, Christine M.; Christopher‐Hayes, Nicholas J.; Schantell, Mikki; Wilson, Tony W.

doi:10.1016/j.neuroimage.2022.119651

Cited by 14 publications

(12 citation statements)

References 71 publications

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“…Analysis of burst waveform motifs could then separate the cortically generated beta bursts from waveforms corresponding to muscle artifacts even though they overlap in frequency range. Changes in beta power, peak frequency, burst rate and mean waveform have also been found during healthy aging in adulthood (Brady & Bardouille, 2022; Heinrichs-Graham et al, 2018; Heinrichs-Graham & Wilson, 2016; Rempe et al, 2022; Rossiter et al, 2014). Future studies applying our approach to such data could help provide mechanistic explanations for these age-related changes at the individual level.…”

Section: Discussionmentioning

confidence: 87%

Diverse beta burst waveform motifs characterize movement-related cortical dynamics

Szul

Papadopoulos

Alavizadeh

et al. 2022

Preprint

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Classical analyses of induced, frequency-specific neural activity typically average band-limited power over trials. More recently, it has become widely appreciated that in individual trials, beta band activity occurs as transient bursts rather than amplitude-modulated oscillations. Most studies of beta bursts treat them as unitary, and having a stereotyped waveform. However, we show there is a wide diversity of burst shapes. Using a biophysical model of burst generation, we demonstrate that waveform variability is predicted by variability in the synaptic drives that generate beta bursts. We then use a novel, adaptive burst detection algorithm to identify bursts from human MEG sensor data recorded during a joystick-based reaching task, and apply principal component analysis to burst waveforms to define a set of dimensions, or motifs, that best explain waveform variance. Finally, we show that bursts with a particular range of waveform motifs, ones not fully accounted for by the biophysical model, differentially contribute to movement-related beta dynamics. Sensorimotor beta bursts are therefore not homogeneous events and likely reflect distinct computational processes.

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Section: Discussionmentioning

confidence: 87%

Diverse beta burst waveform motifs characterize movement-related cortical dynamics

Szul

Papadopoulos

Alavizadeh

et al. 2022

Preprint

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“…This region, where beta is known to be the dominant rhythm, is highly associated with motor control ( 18 , 19 , 41 ). In fact, a few studies have linked this age-related increase in spontaneous beta activity to movement-associated beta oscillatory responses, and further motor performance ( 18 , 19 , 42 ). Finally, gamma power increased with age across the entire cortex, peaking in the bilateral superior frontal gyri including the supplemental motor area, which is responsible for motor planning and control ( 43 ).…”

Section: Discussionmentioning

confidence: 99%

Spontaneous cortical dynamics from the first years to the golden years

Rempe

Ott

Picci

et al. 2023

Proc. Natl. Acad. Sci. U.S.A.

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In the largest and most expansive lifespan magnetoencephalography (MEG) study to date (n = 434, 6 to 84 y), we provide critical data on the normative trajectory of resting-state spontaneous activity and its temporal dynamics. We perform cutting-edge analyses to examine age and sex effects on whole-brain, spatially-resolved relative and absolute power maps, and find significant age effects in all spectral bands in both types of maps. Specifically, lower frequencies showed a negative correlation with age, while higher frequencies positively correlated with age. These correlations were further probed with hierarchical regressions, which revealed significant nonlinear trajectories in key brain regions. Sex effects were found in absolute but not relative power maps, highlighting key differences between outcome indices that are generally used interchangeably. Our rigorous and innovative approach provides multispectral maps indicating the unique trajectory of spontaneous neural activity across the lifespan, and illuminates key methodological considerations with the widely used relative/absolute power maps of spontaneous cortical dynamics.

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“…Corroborating prior work, these studies found that spatiotemporal patterns of theta, combined alpha/beta, and gamma responses in occipital, parietal, and prefrontal regions uniquely served abstract reasoning in typically developing children and in healthy young adults (Arif et al, 2021; Taylor et al, 2020, 2022). Unfortunately, despite the known impacts of aging on oscillatory dynamics (Arif et al, 2020; Heinrichs‐Graham & Wilson, 2016; Proskovec et al, 2016; Rempe et al, 2022, 2023; Springer et al, 2023; Wiesman & Wilson, 2019), network communication, and G f , no studies to date have examined the effects of aging on the oscillatory dynamics or dynamic functional connectivity underlying G f .…”

Section: Introductionmentioning

confidence: 99%

Healthy aging alters the oscillatory dynamics and fronto‐parietal connectivity serving fluid intelligence

Penhale,

Arif,

Schantell

et al. 2024

Human Brain Mapping

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Fluid intelligence (Gf) involves logical reasoning and novel problem‐solving abilities. Often, abstract reasoning tasks like Raven's progressive matrices are used to assess Gf. Prior work has shown an age‐related decline in fluid intelligence capabilities, and although many studies have sought to identify the underlying mechanisms, our understanding of the critical brain regions and dynamics remains largely incomplete. In this study, we utilized magnetoencephalography (MEG) to investigate 78 individuals, ages 20–65 years, as they completed an abstract reasoning task. MEG data was co‐registered with structural MRI data, transformed into the time–frequency domain, and the resulting neural oscillations were imaged using a beamformer. We found worsening behavioral performance with age, including prolonged reaction times and reduced accuracy. MEG analyses indicated robust oscillations in the theta, alpha/beta, and gamma range during the task. Whole brain correlation analyses with age revealed relationships in the theta and alpha/beta frequency bands, such that theta oscillations became stronger with increasing age in a right prefrontal region and alpha/beta oscillations became stronger with increasing age in parietal and right motor cortices. Follow‐up connectivity analyses revealed increasing parieto‐frontal connectivity with increasing age in the alpha/beta frequency range. Importantly, our findings are consistent with the parieto‐frontal integration theory of intelligence (P‐FIT). These results further suggest that as people age, there may be alterations in neural responses that are spectrally specific, such that older people exhibit stronger alpha/beta oscillations across the parieto‐frontal network during abstract reasoning tasks.

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Spontaneous sensorimotor beta power and cortical thickness uniquely predict motor function in healthy aging

Cited by 14 publications

References 71 publications

Diverse beta burst waveform motifs characterize movement-related cortical dynamics

Diverse beta burst waveform motifs characterize movement-related cortical dynamics

Spontaneous cortical dynamics from the first years to the golden years

Healthy aging alters the oscillatory dynamics and fronto‐parietal connectivity serving fluid intelligence

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