Longitudinal Recordings Reveal Transient Increase of Alpha/Low-Beta Power in the Subthalamic Nucleus Associated With the Onset of Parkinsonian Rest Tremor

Recent studies suggest that beta (15–30 Hz) oscillatory activity in the subthalamic nucleus (STN) is dramatically increased in Parkinson's disease (PD) and may interfere with movement execution. Dopaminergic medications decrease beta activity and deep brain stimulation (DBS) in the STN may alleviate PD symptoms by disrupting this oscillatory activity. Depth recordings from PD patients have demonstrated beta oscillatory neuronal and local field potential (LFP) activity in STN, although its prevalence and relationship to neuronal activity are unclear. In this study, we recorded both LFP and neuronal spike activity from the STN in 14 PD patients during functional neurosurgery. Of 200 single- and multiunit recordings 56 showed significant oscillatory activity at about 26 Hz and 89% of these were coherent with the simultaneously recorded LFP. The incidence of neuronal beta oscillatory activity was significantly higher in the dorsal STN ( P = 0.01) and corresponds to the significantly increased LFP beta power recorded in the same region. Of particular interest was a significant positive correlation between the incidence of oscillatory neurons and the patient's benefit from dopaminergic medications, but not with baseline motor deficits off medication. These findings suggest that the degree of neuronal beta oscillatory activity is related to the magnitude of the response of the basal ganglia to dopaminergic agents rather than directly to the motor symptoms of PD. The study also suggests that LFP beta oscillatory activity is generated largely within the dorsal portion of the STN and can produce synchronous oscillatory activity of the local neuronal population.

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A direct relationship between oscillatory subthalamic nucleus–cortex coupling and rest tremor in Parkinson’s disease

Brain ◽

10.1093/brain/awt271 ◽

2013 ◽

Vol 136 (12) ◽

pp. 3659-3670 ◽

Cited By ~ 56

Author(s):

Jan Hirschmann ◽

Christian J. Hartmann ◽

Markus Butz ◽

Nienke Hoogenboom ◽

Tolga E. Özkurt ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Subthalamic Nucleus ◽

Direct Relationship ◽

Rest Tremor

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EP 60. Bicycling suppresses beta power more strongly than walking in the subthalamic nucleus of Parkinsonian patients

Clinical Neurophysiology ◽

10.1016/j.clinph.2016.05.248 ◽

2016 ◽

Vol 127 (9) ◽

pp. e200

Author(s):

L. Storzer ◽

M. Butz ◽

J. Hirschmann ◽

O. Abbasi ◽

M. Gratkowski ◽

...

Keyword(s):

Subthalamic Nucleus ◽

Beta Power

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Oscillatory Beta Power Correlates With Akinesia-Rigidity in the Parkinsonian Subthalamic Nucleus

Movement Disorders ◽

10.1002/mds.26860 ◽

2016 ◽

Vol 32 (1) ◽

pp. 174-175 ◽

Cited By ~ 30

Author(s):

Martijn Beudel ◽

Ashwini Oswal ◽

Ashwani Jha ◽

Thomas Foltynie ◽

Ludvic Zrinzo ◽

...

Keyword(s):

Subthalamic Nucleus ◽

Beta Power

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Cognitive control involves theta power within trials and beta power across trials in the prefrontal-subthalamic network

Brain ◽

10.1093/brain/awy266 ◽

2018 ◽

Vol 141 (12) ◽

pp. 3361-3376 ◽

Cited By ~ 19

Author(s):

Baltazar Zavala ◽

Anthony Jang ◽

Michael Trotta ◽

Codrin I Lungu ◽

Peter Brown ◽

...

Keyword(s):

Prefrontal Cortex ◽

Cognitive Control ◽

Subthalamic Nucleus ◽

Medial Prefrontal Cortex ◽

Response Inhibition ◽

Complete Response ◽

Beta Band ◽

Theta Power ◽

Beta Power ◽

Behavioural Adaptations

Abstract There is increasing evidence that the medial prefrontal cortex participates in conflict and feedback monitoring while the subthalamic nucleus adjusts actions. Yet how these two structures coordinate their activity during cognitive control remains poorly understood. We recorded from the human prefrontal cortex and the subthalamic nucleus simultaneously while participants (n = 22) performed a novel task involving high conflict trials, complete response inhibition trials, and trial-to-trial behavioural adaptations to conflict and errors. Overall, we found that within-trial adaptions to both conflict and complete response inhibition involved changes in the theta band while across-trial behavioural adaptations to both conflict and errors involved changes in the beta band (P < 0.05). Yet the role each region’s theta and beta oscillations played during the task differed significantly between the two sites. Trials that involved either within-trial conflict or complete response inhibition were associated with increased theta phase synchrony between the medial prefrontal cortex and the subthalamic nucleus (P < 0.05). Despite increased synchrony, however, increases in prefrontal theta power were associated with response inhibition, while increases in subthalamic theta power were associated with response execution (P < 0.05). In the beta band, post-response increases in prefrontal beta power were suppressed when the completed trial contained either conflict or an erroneous response (P < 0.05). Subthalamic beta power, on the other hand, was only modified during the subsequent trial that followed a conflict or error trial. Notably, these adaptation trials exhibited slower response times (P < 0.05), suggesting that both brain regions contribute to across-trial adaptations but do so at different stages of the adaptation process. Taken together, our data shed light on the mechanisms underlying within-trial and across-trial cognitive control and how disruption of this network can negatively impact cognition. More broadly, however, our data also demonstrate that the specific role of a brain region, rather than the frequency being utilized, governs the behavioural correlates of oscillatory activity.

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No difference in cognitive task-related oscillations between human internal globus pallidus and subthalamic nucleus

10.1101/2021.05.07.21256760 ◽

2021 ◽

Author(s):

Muhammad Samran Navid ◽

Stefan Kammermeier ◽

Imran K. Niazi ◽

Vibhash D. Sharma ◽

Shawn M. Vuong ◽

...

Keyword(s):

Cognitive Control ◽

Globus Pallidus ◽

Subthalamic Nucleus ◽

Cognitive Processing ◽

Flanker Task ◽

Cognitive Task ◽

Internal Globus Pallidus ◽

Thalamic Relay ◽

Beta Power

Recently it has been acknowledged that the basal ganglia nuclei play a major role in cognitive control; however, the contribution by their network remains unclear. Previous studies have demonstrated the role of the subthalamic nucleus (STN) in cognitive processing and suggested that its connections to cortical and other associated regions regulate response inhibition during conflict conditions. By contrast, the role of the internal globus pallidus (GPi) as the output nucleus before the thalamic relay has not yet been investigated during cognitive processing. We recorded local field potentials (LFPs) from externalized deep brain stimulation (DBS) electrodes implanted bilaterally in the GPi (n=9 participants with dystonia) and STN (n=8 participants with Parkinson's disease (PD)) during a primed flanker task. Both dystonia (GPi group) and PD participants (STN group) responded faster to the congruent trials than the incongruent trials. Overall, the dystonic GPi group was significantly faster than the PD STN group. LFPs showed elevated cue-triggered theta (3-7 Hz) power in GPi and STN groups in a similar way. Response-triggered LFP beta power (13-25 Hz) was significantly increased in the GPi group compared to the STN group. Results demonstrate that GPi activity appears to be critical in the cognitive processing of action selection and response during the presence of conflict tasks similar to the STN group. As both GPi and STN nuclei are involved in cognitive processing; therefore, these nuclei may be targeted for neuromodulation to improve cognitive control via DBS.

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003 Subthalamic nucleus deep brain stimulation evoked resonant neural activity predicts clinical response to DBS

Journal of Neurology Neurosurgery & Psychiatry ◽

10.1136/jnnp-2019-anzan.3 ◽

2019 ◽

Vol 90 (e7) ◽

pp. A1.3-A2 ◽

Cited By ~ 1

Author(s):

San San Xu ◽

Nicholas C Sinclair ◽

Kristian J Bulluss ◽

Thushara Perera ◽

Wee-Lih Lee ◽

...

Keyword(s):

Deep Brain Stimulation ◽

Subthalamic Nucleus ◽

Brain Stimulation ◽

Neural Activity ◽

Large Amplitude ◽

Motor Deficit ◽

Feedback Signal ◽

List Type ◽

Beta Power ◽

Deep Brain

IntroductionDBS can improve motor deficit in Parkinson’s disease (PD) patients. Existing devices have limitations due to electrode positioning errors, fallible manual programming and delivery of continuous ‘open-loop’ stimulation despite fluctuating patient state. This results in partial efficacy, adverse effects and increased cost. One solution is to use an electrical feedback signal or ‘biomarker’ recorded from DBS electrodes. The most widely studied signal has been spontaneous local field potentials (LFPs), particularly beta band (13–30 Hz) and high frequency oscillations (HFO) (200–400 Hz). Here, we report a novel biomarker in the form of a large amplitude, evoked potential, with a characteristic oscillatory decay, termed evoked resonant neural activity (ERNA).1MethodsLFPs and ERNA were recorded in 14 patients with PD (28 hemispheres) undergoing STN DBS surgery. The four contacts in each electrode array were ranked according to ERNA amplitude, beta power, HFO power and proximity to the anatomically ideal stimulation location. At least 3 months after surgery, motor scores (UPDRS III, reaction time) were evaluated off-DBS and during stimulation delivered through each electrode contact in a randomised order.ResultsERNA amplitude, beta power and contact proximity to the anatomically ideal stimulation location predicted magnitude of therapeutic response to DBS. However, after exclusion of covariance, ERNA amplitude remained the only significant predictor of DBS response.ConclusionERNA is a readily recordable, large amplitude signal that accurately correlates with motor response to DBS. It holds significant potential as a biomarker for guiding electrode implantation, ideal contact selection, automated parameter fitting and delivery of closed-loop DBS.ReferenceSinclair NC, McDermott HJ, Bulluss KJ, Fallon JB, Perera T, Xu SS, et al. Subthalamic nucleus deep brain stimulation evokes resonant neural activity. Annals of neurology 2018;83(5).

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Parkinsonian rest tremor can be detected accurately based on neuronal oscillations recorded from the subthalamic nucleus

Clinical Neurophysiology ◽

10.1016/j.clinph.2017.07.419 ◽

2017 ◽

Vol 128 (10) ◽

pp. 2029-2036 ◽

Cited By ~ 23

Author(s):

J. Hirschmann ◽

J.M. Schoffelen ◽

A. Schnitzler ◽

M.A.J. van Gerven

Keyword(s):

Subthalamic Nucleus ◽

Neuronal Oscillations ◽

Rest Tremor

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