Age-related differences in how the shape of alpha and beta oscillations change during reaction time tasks

While the shape of cortical oscillations is increasingly recognised to be physiologically and functionally informative, its relevance to the aging motor system has not been established. We therefore examined the shape of alpha and beta band oscillations recorded at rest, as well as during performance of simple and go/no-go reaction time tasks, in 33 young (23.3 ± 2.9 years, 27 females) and 27 older (60.0 ± 5.2 years, 23 females) adults. The shape of individual oscillatory cycles was characterised using a recently developed pipeline involving empirical mode decomposition, before being decomposed into waveform motifs using principal component analysis. This revealed four principal components that were uniquely influenced by task and/or age. These described specific dimensions of shape and tended to be modulated during the reaction phase of each task. Our results suggest that although oscillation shape is task-dependent, the nature of this effect is altered by advancing age, possibly reflecting alterations in cortical activity. These outcomes demonstrate the utility of this approach for understanding the neurophysiological effects of ageing.

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Publication Details

Journal
Neurobiology of Aging
Published
2024-08-13
DOI
https://doi.org/10.1016/j.neurobiolaging.2024.08.001
Citations
5
Primary Topic
Neural dynamics and brain function
Type
article
Field-Weighted Citation Impact
1.71

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article

Age-related differences in how the shape of alpha and beta oscillations change during reaction time tasks

Rohan Puri, George M. Opie, James M. Hughes
5 citations
Neurobiology of Aging
Neural dynamics and brain function
1.71
article

Age-related differences in how the shape of alpha and beta oscillations change during reaction time tasks

Rohan Puri, George M. Opie, James M. Hughes
article en
5 citations

Abstract

While the shape of cortical oscillations is increasingly recognised to be physiologically and functionally informative, its relevance to the aging motor system has not been established. We therefore examined the shape of alpha and beta band oscillations recorded at rest, as well as during performance of simple and go/no-go reaction time tasks, in 33 young (23.3 ± 2.9 years, 27 females) and 27 older (60.0 ± 5.2 years, 23 females) adults. The shape of individual oscillatory cycles was characterised using a recently developed pipeline involving empirical mode decomposition, before being decomposed into waveform motifs using principal component analysis. This revealed four principal components that were uniquely influenced by task and/or age. These described specific dimensions of shape and tended to be modulated during the reaction phase of each task. Our results suggest that although oscillation shape is task-dependent, the nature of this effect is altered by advancing age, possibly reflecting alterations in cortical activity. These outcomes demonstrate the utility of this approach for understanding the neurophysiological effects of ageing.

Neurobiology of AgingVol. 142
University of Tasmania (AU), The University of Adelaide (AU)
Australian Research Council
Openalex Percentile: Top 16%
Neural dynamics and brain function
1.71
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