Novel approaches for quantifying beta synchrony in Parkinson’s disease

Karekal, Apoorva; Miocinovic, Svjetlana; Swann, Nicole C.

doi:10.1007/s00221-022-06308-8

Cited by 10 publications

(8 citation statements)

References 103 publications

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“…Elevated cortical and basal ganglia beta synchrony has been shown to be a biomarker of PD 8,19 , with research on both human subjects and animal models indicating that dopamine depletion leads to pathologic increases in resting-state beta power 20,21,22,23 . Beta power has been proposed to indicate the active maintenance of a "status quo" state of neuronal activity 19,24,25 , and decreased beta power has been shown to play a crucial role during movement planning and execution 26 . While the link between elevated beta power in PD and motor symptoms of rigidity and bradykinesia has been well-documented, beta power has also been shown to be involved in cognitive functions such as executive control, working memory, and attention 24 .…”

Section: Discussionmentioning

confidence: 99%

“…[39][40][41][42] Beta power has been proposed to indicate the active maintenance of a "status quo" state of neuronal activity 38,43,44 , and decreased beta power has been shown to play a crucial role during movement planning and execution. 45 While the link between elevated beta power in PD and motor symptoms of rigidity and bradykinesia has been well-documented, beta power has also been shown to be involved in cognitive functions such as executive control, working memory, and attention. 43 Widespread abnormalities in beta band oscillations have also been shown to characterize PD CI, with previous research indicating that global resting-state beta and gamma (30-100 Hz) power is higher in subjects with PD MCI but decreases from PD MCI to Parkinson's Disease Dementia (PDD).…”

Section: Discussionmentioning

confidence: 99%

“…The striatum which includes the nucleus accumbens, caudate and putamen, is somatotopically organized into three parallel cortico-striato-thalamo-cortical (CSTC) circuits which contribute to motor, cognitive and limbic functions 8 . Dopamine related dysfunction in motor CSTC circuits leads to common cardinal motor symptoms of PD, notably reflected in beta range (15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) neural signal oscillation changes [9][10][11] . However, dopaminergic effects on analogous cognitive CSTC circuits, in which the dorsolateral prefrontal cortex (DLPFC) and caudate are core structures, remain unclear.…”

Section: Introductionmentioning

confidence: 99%

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Corticostriatal Beta Power Changes Associated with Cognitive Function in Parkinson’s Disease

Paulo

Qian

Subramanian

et al. 2022

Preprint

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Cognitive impairment (CI) is the most frequent nonmotor symptom in Parkinsons Disease (PD) and is associated with deficits in executive functions such as working memory. Previous studies have demonstrated that caudate beta power underlies learning and working memory. Decreased dopamine in motor cortico-striato-thalamo-cortical (CSTC) circuits results in increased beta power and PD motor symptoms. Analogous changes in cognitive CSTC circuits, including the caudate and dorsolateral prefrontal cortex (DLPFC), may contribute to PD CI. A better understanding of anatomic structures and neurophysiologic changes associated with working memory deficits is needed to develop potential neuromodulatory treatment strategies for PD CI. The objective of our study is to evaluate neurophysiologic changes underlying cognitive dysfunction in PD patients via direct local field potential recordings during deep brain stimulation surgery. Fifteen patients were included, one of which completed 2 minutes of resting state data collection while the other fourteen completed resting state collection and task based data collection with a verbal working memory 2-back task with feedback. LFP signals from DLPFC (50 channels) and caudate (25 channels) were sampled at 1000Hz, demeaned by channel and aligned to task events of encoding and feedback. Correlations of resting state beta power and pre-operative neuropsychological testing as well as caudate volumes were performed. Beta power decreased in both DLPFC and caudate during encoding and was significantly different for correct and incorrect trials, whereas beta power increased in DLPFC and caudate during feedback and was significantly different for correct and incorrect trials. Beta power during encoding was inversely correlated with memory scores on pre-operative neuropsychological testing. Understanding neurophysiologic correlates of cognitive dysfunction within cognitive CSTC circuits will aid in development of novel neuromodulatory therapies for patients with PD CI and other cognitive disorders.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Corticostriatal Beta Power Changes Associated with Cognitive Function in Parkinson’s Disease

Paulo

Qian

Subramanian

et al. 2022

Preprint

View full text Add to dashboard Cite

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“…The characteristics of neuronal oscillatory activity may hold additional information of disease-related changes in PD. 33 Both beta-band power and centre frequency reflect a quantification of power spectral density (PSD). While these features can provide valuable information about disease-related changes in PD, the PSD quantification of a neural time series provides a static summary of the oscillatory activity across the entire time series.…”

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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“…The characteristics of neuronal oscillatory activity may hold additional information of disease-related changes in PD. 33 Both beta-band power and centre frequency re ect a quanti cation of power spectral density (PSD). While these features can provide valuable information about disease-related changes in PD, the PSD quanti cation of a neural time series provides a static summary of the oscillatory activity across the entire time series.…”

Section: Introductionmentioning

confidence: 99%

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

Vinding

Eriksson

Manting

et al. 2022

Preprint

View full text Add to dashboard Cite

Parkinson's disease (PD) is associated with changes in neural activity in the sensorimotor alpha and beta bands. Using magnetoencephalography (MEG), we investigated the role of spontaneous neuronal activity within the somatosensory cortex in a large cohort of early- to mid-stage PD patients (N = 78) and age- and sex matched healthy controls (N = 60) using source reconstructed resting-state MEG. We quantified features of the time series data in terms of oscillatory alpha power, beta power, and 1/f broadband characteristics using power spectral density, and also characterised transient beta burst events in the time-domain signals. We examined the relationship between these signal features and the patients’ disease state, symptom severity, age, sex, and cortical thickness.PD patients and healthy controls differed on PSD broadband characteristics, with PD patients showing a steeper 1/f exponential slope and higher 1/f offset. PD patients further showed a steeper age-related decrease in the burst rate. Out of all the signal features of the sensorimotor activity, only burst rate was associated with increased severity of bradykinesia. Our study shows that general non-oscillatory features (broadband PSD slope and offset) of the sensorimotor signals are related to disease state and oscillatory burst rate scales with symptom severity in PD.

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Novel approaches for quantifying beta synchrony in Parkinson’s disease

Cited by 10 publications

References 103 publications

Corticostriatal Beta Power Changes Associated with Cognitive Function in Parkinson’s Disease

Corticostriatal Beta Power Changes Associated with Cognitive Function in Parkinson’s Disease

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

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

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