Age-related trends in neuromagnetic transient beta burst characteristics during a sensorimotor task and rest in the Cam-CAN open-access dataset

Brady, Brendan; Power, Lindsey; Bardouille, Timothy

doi:10.1016/j.neuroimage.2020.117245

Cited by 18 publications

(21 citation statements)

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“…Interestingly, sensorimotor beta burst rate decreased bilaterally during grasp execution in adults, but did not change compared to baseline in infants. The burst rate decrease in adults is characteristic of the event-related “desynchronization” commonly observed in motor regions prior to action performance ( Cassim et al, 2000 , Doyle et al, 2005 , Heinrichs-Graham and Wilson, 2016 , Kaiser et al, 2001 , Neuper et al, 2006 , Pfurtscheller, 1981 , Stancák and Pfurtscheller, 1996 ), now understood to reflect the averaging of burst occurrence over trials ( Brady et al, 2020 , Little et al, 2019 , Wessel, 2020 ). Such a pre-movement decrease in sensorimotor beta power has not previously, to our knowledge, been reported in infants, and we failed to find a change in burst rate.…”

Section: Discussionmentioning

confidence: 99%

Detection and analysis of cortical beta bursts in developmental EEG data

Rayson

Debnath

Alavizadeh

et al. 2022

Developmental Cognitive Neuroscience

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Developmental EEG research often involves analyzing signals within various frequency bands, based on the assumption that these signals represent oscillatory neural activity. However, growing evidence suggests that certain frequency bands are dominated by transient burst events in single trials rather than sustained oscillations. This is especially true for the beta band, with adult ‘beta burst’ timing a better predictor of motor behavior than slow changes in average beta amplitude. No developmental research thus far has looked at beta bursts, with techniques used to investigate frequency-specific activity structure rarely even applied to such data. Therefore, we aimed to: i) provide a tutorial for developmental EEG researchers on the application of methods for evaluating the rhythmic versus transient nature of frequency-specific activity; and ii) use these techniques to investigate the existence of sensorimotor beta bursts in infants. We found that beta activity in 12-month-olds did occur in bursts, however differences were also revealed in terms of duration, amplitude, and rate during grasping compared to adults. Application of the techniques illustrated here will be critical for clarifying the functional roles of frequency-specific activity across early development, including the role of beta activity in motor processing and its contribution to differing developmental motor trajectories.

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Section: Discussionmentioning

confidence: 99%

Detection and analysis of cortical beta bursts in developmental EEG data

Rayson

Debnath

Alavizadeh

et al. 2022

Developmental Cognitive Neuroscience

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“…For instance, the presence of a beta burst in the sensorimotor cortex close to a tactile stimulation decreased the likelihood of tactile detection 38 , and the rate of beta bursts is shown to decrease in the time leading up to a movement both in STN 39–41 and in the sensorimotor cortex. 42,43…”

Section: Introductionmentioning

confidence: 99%

“…14 Notably, the burst rate showed a higher sensitivity than PSD beta power for discriminating PD patients from healthy controls, demonstrating that the choice of method for analysing beta-band features influences the sensitivity of subsequent analyses. This is further complicated by the fact that in addition to disease-related changes, these features likely differ with age, 43,47 and the fact that most studies on oscillatory changes in PD come from studies with small sizes. 48 The central challenge is quantifying the measured neural signals to extract the disease’s relevant features from the signals, be it the spectral power, centre frequencies, or burst-like features.…”

Section: Introductionmentioning

confidence: 99%

Changes in non-oscillatory features of the cortical sensorimotor rhythm in Parkinson’s disease across age

Vinding

Eriksson

Ting

et al. 2021

Preprint

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Parkinson's disease (PD) is associated with functional changes in the neural activity within the brain's sensorimotor network, which in turn are related to the characteristic motor symptoms in PD. The functional changes in PD are particularly prominent in terms of oscillatory neuronal activity in the characteristic sensorimotor alpha and beta rhythms. However, summaries in terms of alpha or beta power do not capture the full range of the complex dynamic nature of the signals from the somatosensory cortex. This raises the question of how to quantify and summarise the functional changes in such oscillatory features in a manner that captures the relevant disease- and symptom-related neural activity. We investigated the role of spontaneous cortical somatosensory activity in the electrophysiological alpha and beta bands among a cohort of early- to mid-stage PD patients (N=78) and age- and gender-matched healthy controls (N=60) using source reconstructed resting-state magnetoencephalography (MEG) recordings. We quantified the oscillatory features of the neural time series by its oscillatory alpha power, beta power, and 1/f broadband characteristics using power spectral density, and additionally by characterising "burst" properties in the signals. We examined the relationship between the signal features and disease state, age, sex, and cortical thickness. Using multiple regression, we examined the relative contribution of the oscillatory features on the clinical manifestation of motor symptoms in the PD group. Our results show that PD patients differ from healthy controls on several of the oscillatory features, showing higher beta-band power, higher burst amplitude, and steeper 1/f broadband characteristics compared to healthy controls, as well as a steeper age-related decrease in the bursts rate. While there was a high degree of correlation between some of the oscillatory features, several features also appeared functionally separated, showing independent feature-to-symptom relationships. For instance, oscillatory beta power increased with the severity of midline function symptoms, while burst rate decreased with the severity of bradykinesia. Our study shows that quantification of distinct features within the oscillatory sensorimotor neural time series in PD captures different underlying mechanisms related to disease progression and symptom severity, which in turn has a potential for a more individualised and precision-based approach to assessing functional neural changes in PD.

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“…Additionally, since we have expressed the average burst rate as a function of the average burst duration in S1 Text , we provide an approximate analytical expression for the average burst rate of OU processes (equation (D) in S1 Text ). Burst rate is also of interest as it is used to characterise bursting in some experimental studies (see for example [ 15 , 68 , 69 ]). In the third degree model analysed in Fig 10 , dependence on model parameters cannot be studied directly contrary to the OU case, but the integral expression given by Eq (48) could facilitate numerical analysis as it can be evaluated numerically much faster than the model can be simulated and subjected to burst duration quantification.…”

Section: Discussionmentioning

confidence: 99%

Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease

et al. 2021

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Parkinson’s disease motor symptoms are associated with an increase in subthalamic nucleus beta band oscillatory power. However, these oscillations are phasic, and there is a growing body of evidence suggesting that beta burst duration may be of critical importance to motor symptoms. This makes insights into the dynamics of beta bursting generation valuable, in particular to refine closed-loop deep brain stimulation in Parkinson’s disease. In this study, we ask the question “Can average burst duration reveal how dynamics change between the ON and OFF medication states?”. Our analysis of local field potentials from the subthalamic nucleus demonstrates using linear surrogates that the system generating beta oscillations is more likely to act in a non-linear regime OFF medication and that the change in a non-linearity measure is correlated with motor impairment. In addition, we pinpoint the simplest dynamical changes that could be responsible for changes in the temporal patterning of beta oscillations between medication states by fitting to data biologically inspired models, and simpler beta envelope models. Finally, we show that the non-linearity can be directly extracted from average burst duration profiles under the assumption of constant noise in envelope models. This reveals that average burst duration profiles provide a window into burst dynamics, which may underlie the success of burst duration as a biomarker. In summary, we demonstrate a relationship between average burst duration profiles, dynamics of the system generating beta oscillations, and motor impairment, which puts us in a better position to understand the pathology and improve therapies such as deep brain stimulation.

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Age-related trends in neuromagnetic transient beta burst characteristics during a sensorimotor task and rest in the Cam-CAN open-access dataset

Cited by 18 publications

References 50 publications

Detection and analysis of cortical beta bursts in developmental EEG data

Detection and analysis of cortical beta bursts in developmental EEG data

Changes in non-oscillatory features of the cortical sensorimotor rhythm in Parkinson’s disease across age

Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease

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