Age‐related trends in the cortical sources of transient beta bursts during a sensorimotor task and rest

Power, Lindsey; Bardouille, Timothy

doi:10.1016/j.neuroimage.2021.118670

Cited by 11 publications

(7 citation statements)

References 38 publications

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“…We found a positive correlation between age and source power in the left frontal and temporal regions at a specific frequency band, that is, the beta band. Previous studies reported an increase in beta power with age (Brady et al, 2020;Coquelet et al, 2017;Heinrichs-Graham & Wilson, 2016;Hubner et al, 2018;Power & Bardouille, 2021;Rossiter et al, 2014;Xifra-Porxas et al, 2019;Xifra-Porxas et al, 2021), which is consistent with the present results. A previous study also reported that the age-related increase in lower beta power (13-26 Hz) was restricted to frontal regions, whereas higher beta power (26)(27)(28)(29)(30)(31)(32)(33)(34)(35) was restricted to the motor cortex (Xifra-Porxas et al, 2021).…”

Section: Age-related Changes In Meg Source Power and Graph Metricssupporting

confidence: 93%

Brain‐wide network analysis of resting‐state neuromagnetic data

Kida

Tanaka

Kakigi

et al. 2023

Human Brain Mapping

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The present study performed a brain‐wide network analysis of resting‐state magnetoencephalograms recorded from 53 healthy participants to visualize elaborate brain maps of phase‐ and amplitude‐derived graph‐theory metrics at different frequencies. To achieve this, we conducted a vertex‐wise computation of threshold‐independent graph metrics by combining proportional thresholding and a conjunction analysis and applied them to a correlation analysis of age and brain networks. Source power showed a frequency‐dependent cortical distribution. Threshold‐independent graph metrics derived from phase‐ and amplitude‐based connectivity showed similar or different distributions depending on frequency. Vertex‐wise age‐brain correlation maps revealed that source power at the beta band and the amplitude‐based degree at the alpha band changed with age in local regions. The present results indicate that a brain‐wide analysis of neuromagnetic data has the potential to reveal neurophysiological network features in the human brain in a resting state.

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Section: Age-related Changes In Meg Source Power and Graph Metricssupporting

confidence: 93%

Brain‐wide network analysis of resting‐state neuromagnetic data

Kida

Tanaka

Kakigi

et al. 2023

Human Brain Mapping

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“…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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“…4). While transient events have been detected in resting-state data [28,36,37,42,43,44], this study is the first to identify and quantify them in a population with MDD and PTSD.…”

Section: Discussionmentioning

confidence: 99%

Fronto-central resting-state 15-29Hz transient beta events change with therapeutic transcranial magnetic stimulation for posttraumatic stress disorder and major depressive disorder

Morris

Temereanca

Zandvakili

et al. 2023

Preprint

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Repetitive transcranial magnetic stimulation (rTMS) is an established treatment for major depressive disorder (MDD) and shows promise for posttraumatic stress disorder (PTSD), yet effectiveness varies. Electroencephalography (EEG) can identify rTMS-associated brain changes. EEG oscillations are often examined using averaging approaches that mask finer time-scale dynamics. Recent advances show some brain oscillations emerge as transient increases in power, a phenomenon termed "Spectral Events," and that event characteristics correspond with cognitive functions. We applied Spectral Event analyses to identify potential EEG biomarkers of effective rTMS treatment. Resting 8-electrode EEG was collected from 23 patients with MDD and PTSD before and after 5Hz rTMS targeting the left dorsolateral prefrontal cortex. Using an open-source toolbox (https://github.com/jonescompneurolab/SpectralEvents), we quantified event features and tested for treatment associated changes. Spectral Events in delta/theta (1-6 Hz), alpha (7-14 Hz), and beta (15-29 Hz) bands occurred in all patients. rTMS-induced improvement in comorbid MDD PTSD were associated with pre- to post-treatment changes in fronto-central electrode beta event features, including frontal beta event frequency spans and durations, and central beta event maxima power. Furthermore, frontal pre-treatment beta event duration correlated negatively with MDD symptom improvement. Beta events may provide new biomarkers of clinical response and advance the understanding of rTMS.

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Age‐related trends in the cortical sources of transient beta bursts during a sensorimotor task and rest

Cited by 11 publications

References 38 publications

Brain‐wide network analysis of resting‐state neuromagnetic data

Brain‐wide network analysis of resting‐state neuromagnetic data

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

Fronto-central resting-state 15-29Hz transient beta events change with therapeutic transcranial magnetic stimulation for posttraumatic stress disorder and major depressive disorder

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