Complementary roles of different oscillatory activities in the subthalamic nucleus in coding motor effort in Parkinsonism

Tan, Huiling; Pogosyan, Alek; Anzak, Anam; Ashkan, Keyoumars; Bogdanovič, Marko; Green, Alexander L.; Aziz, Tipu Z.; Foltynie, Thomas; Limousin, Patricia; Zrinzo, Ludvic; Brown, Peter

doi:10.1016/j.expneurol.2013.06.010

Cited by 82 publications

(108 citation statements)

References 41 publications

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“…HFO are involved in the generation of voluntary movements. The HFO power increases when movements are initiated and decreases when the latter end [51,54]. Accordingly, HFO power is negatively correlated with the akinesia/rigidity of the corresponding (contralateral) side [55].…”

Section: Discussionmentioning

confidence: 83%

Suppression of spontaneous oscillations in high-frequency stimulated neuron models

Pyragas¹,

Tass²

2017

Lith. J. Phys.

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We analyze the influence of high-frequency current stimulation on spontaneous neuronal activity and show that it may cause a death of spontaneous low-frequency oscillations. We demonstrate the universality of this effect for typical neuron models such as FitzHugh-Nagumo, Morris-Lecar, and Hodgkin-Huxley neurons as well as for the normal form of the supercritical Hopf bifurcation. Using a multiple scale method we separate the solutions of the neuron equations into slow and fast components and derive averaged equations for the slow components. The mechanism of suppression of neuronal activity is explained by an analysis of the bifurcations in the averaged equations governing the dynamics of the slow motion. Our results may contribute to the understanding of therapeutic effects of high-frequency deep brain stimulation, the golden standard for the treatment of medically refractory patients suffering from Parkinson's disease. Furthermore, our study enables hypotheses concerning possible improvements of high-frequency deep brain stimulation.

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Section: Discussionmentioning

confidence: 83%

Suppression of spontaneous oscillations in high-frequency stimulated neuron models

Pyragas¹,

Tass²

2017

Lith. J. Phys.

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“…Crucially, the modulation of both the ␣ and ␤ band ERS by time and error was independent from other parameters related to movement execution, such as reaction time, movement duration, or path length. This observation is particularly important in the case of the ␤ band, as several reports suggest that the perimovement ␤ ERD may be influenced by the precise pattern that movement takes (Spinks et al, 2008;Yuan et al, 2010;Tan et al, 2013). This in turn opens up the theoretical possibility that some of the subsequent ␤ ERS may be a passive rebound that is secondarily affected by these movement parameters.…”

Section: Discussionmentioning

confidence: 99%

“…The postmovement ␤ ERS may therefore reflect neural processes linked to the evaluation of the results of a completed movement with respect to its predicted outcome, given an internal model of the intended movement (Shadmehr et al, 2010), but in the context of the consistency and uncertainty of prior angular errors. Whether the relevant neural processes underpin this evaluation of error and its history, or the effect of this evaluation drives the behavioral response, remains to be clarified.…”

Section: Discussionmentioning

confidence: 99%

“…Differences between the predicted consequences of the movement and the actual sensory feedback related to the action then drive revision of the internal model and improve behavioral performance through motor adaptation (Noto and Robinson, 2001;Tseng et al, 2007;Shadmehr et al, 2010). Visuomotor-rotation tasks are often used to investigate motor adaptation; in these, the relevant sensory feedback is assumed to be the angular error between the target and the response.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Neural Correlates of Motor Error Monitoring and Adaptation during Trial-to-Trial Learning

2014

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A basic EEG feature upon voluntary movements in healthy human subjects is a ␤ (13-30 Hz) band desynchronization followed by a postmovement event-related synchronization (ERS) over contralateral sensorimotor cortex. The functional implications of these changes remain unclear. We hypothesized that, because ␤ ERS follows movement, it may reflect the degree of error in that movement, and the salience of that error to the task at hand. As such, the signal might underpin trial-to-trial modifications of the internal model that informs future movements. To test this hypothesis, EEG was recorded in healthy subjects while they moved a joystick-controlled cursor to visual targets on a computer screen, with different rotational perturbations applied between the joystick and cursor. We observed consistently lower ␤ ERS in trials with large error, even when other possible motor confounds, such as reaction time, movement duration, and path length, were controlled, regardless of whether the perturbation was random or constant. There was a negative trial-to-trial correlation between the size of the absolute initial angular error and the amplitude of the ␤ ERS, and this negative correlation was enhanced when other contextual information about the behavioral salience of the angular error, namely, the bias and variance of errors in previous trials, was additionally considered. These same features also had an impact on the behavioral performance. The findings suggest that the ␤ ERS reflects neural processes that evaluate motor error and do so in the context of the prior history of errors.

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“…The θ band increased in PD patients, selectively during a motor task (35), as well as in PD patients experiencing freezing of gait (36). …”

Section: Introductionmentioning

confidence: 99%

Oscillatory Activity in the Cortex, Motor Thalamus and Nucleus Reticularis Thalami in Acute TTX and Chronic 6-OHDA Dopamine-Depleted Animals

et al. 2018

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The motor thalamus (MTh) and the nucleus reticularis thalami (NRT) have been largely neglected in Parkinson's disease (PD) research, despite their key role as interface between basal ganglia (BG) and cortex (Cx). In the present study, we investigated the oscillatory activity within the Cx, MTh, and NRT, in normal and different dopamine (DA)-deficient states. We performed our experiments in both acute and chronic DA-denervated rats by injecting into the medial forebrain bundle (MFB) tetrodotoxin (TTX) or 6-hydroxydopamine (6-OHDA), respectively. Interestingly, almost all the electroencephalogram (EEG) frequency bands changed in acute and/or chronic DA depletion, suggesting alteration of all oscillatory activities and not of a specific band. Overall, δ (2–4 Hz) and θ (4–8 Hz) band decreased in NRT and Cx in acute and chronic state, whilst, α (8–13 Hz) band decreased in acute and chronic states in the MTh and NRT but not in the Cx. The β (13–40 Hz) and γ (60–90 Hz) bands were enhanced in the Cx. In the NRT the β bands decreased, except for high-β (Hβ, 25–30 Hz) that increased in acute state. In the MTh, Lβ and Hβ decreased in acute DA depletion state and γ decreased in both TTX and 6-OHDA-treated animals. These results confirm that abnormal cortical β band are present in the established DA deficiency and it might be considered a hallmark of PD. The abnormal oscillatory activity in frequency interval of other bands, in particular the dampening of low frequencies in thalamic stations, in both states of DA depletion might also underlie PD motor and non-motor symptoms. Our data highlighted the effects of acute depletion of DA and the strict interplay in the oscillatory activity between the MTh and NRT in both acute and chronic stage of DA depletion. Moreover, our findings emphasize early alterations in the NRT, a crucial station for thalamic information processing.

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Complementary roles of different oscillatory activities in the subthalamic nucleus in coding motor effort in Parkinsonism

Cited by 82 publications

References 41 publications

Suppression of spontaneous oscillations in high-frequency stimulated neuron models

Suppression of spontaneous oscillations in high-frequency stimulated neuron models

Dynamic Neural Correlates of Motor Error Monitoring and Adaptation during Trial-to-Trial Learning

Oscillatory Activity in the Cortex, Motor Thalamus and Nucleus Reticularis Thalami in Acute TTX and Chronic 6-OHDA Dopamine-Depleted Animals

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