Somatomotor mu rhythm amplitude correlates with rigidity during deep brain stimulation in Parkinsonian patients

Airaksinen, Katja; Butorina, Anna; Pekkonen, Eero; Nurminen, Jussi; Taulu, Samu; Ahonen, Antti; Schnitzler, Alfons; Mäkelä, Jyrki P.

doi:10.1016/j.clinph.2012.03.004

Cited by 46 publications

(55 citation statements)

References 45 publications

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“…However, the link between dopamine release and MBS reduction in healthy conditions remains to be established. We also note that abnormal oscillations in PD are not restricted to the beta band: excessive power was found at lower frequency (in the alpha band) and deficient power at high-frequency oscillations (in the gamma band), both anomalies being correlated to apathy scores (Ö zkurt et al, 2011;Airaksinen et al, 2012). This is in line with the idea that beta and gamma motor oscillations have anti-kinetic and pro-kinetic properties, respectively (Brown et al, 2001;Schoffelen et al, 2005).…”

Section: Discussionmentioning

confidence: 99%

“…Many movement-related factors affect the RP/RF, such as the force load, the effector used, and the movement complexity (Lang, 2003). Thus, although MBS reduction may reflect motor gating in general (Engel and Fries, 2010), with a main source in the contralateral motor cortex (Jurkiewicz et al, 2006;Donner et al, 2009;Tzagarakis et al, 2010), the RP/RF seems to reflect the preparation of a specific motor program (Shibasaki and Hallett, 2006), with main sources in the supplementary motor area in addition to the primary motor cortex (Ball et al, 1999;Cunnington et al, 2005). However, such a clear-cut distinction between MBS-motor gating and RP/RF-motor preparation should be tempered: some authors argue that the RP denotes the transition from intention to action (Lang, 2003), and others have proposed recently that the RP reflects the passive stochastic accumulation of a "go" signal (Schurger et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

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Better Get Back to Work: A Role for Motor Beta Desynchronization in Incentive Motivation

Meyniel

Pessiglione

2013

J. Neurosci.

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Much research has been devoted to characterizing brain representations of reward and movement. However, the mechanisms allowing expected rewards to influence motor commands remain poorly understood. Unraveling such mechanisms is crucial to providing explanations of how behavior can be driven by goals, hence accounting for apathy cases in clinics. Here, we propose that the reduction of motor beta synchrony (MBS) before movement onset could participate in this incentive motivation process. To test this hypothesis, we recorded brain activity using magnetoencenphalography (MEG) while human participants were exerting physical effort to win monetary incentives. Knowing that the payoff was proportional to the time spent above a target force, subjects spontaneously took breaks when exhausted and resumed effort production when repleted. Behavioral data indicated that the rest periods were shorter when higher incentives were at stake. MEG data showed that the amplitude of MBS reduction correlated to both incentive level and rest duration. Moreover, the time of effort initiation could be predicted by MBS reduction measured at the beginning of rest periods. Incentive effects on MBS reduction and rest duration were also correlated across subjects. Finally, Bayesian comparison between possible causal models suggested that MBS reduction mediates the impact of incentive level on rest duration. We conclude that MBS reduction could represent a neural mechanism that speeds the initiation of effort production when the effort is more rewarded.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Better Get Back to Work: A Role for Motor Beta Desynchronization in Incentive Motivation

Meyniel

Pessiglione

2013

J. Neurosci.

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“…This finding is supported by the DBS-study of Moro et al (2002) that demonstrated clear response to DBS after five minutes of DBS-reprogramming. Also a study of Airaksinen et al (2012) with magnetoencephalography (MEG) showed that the brain activity of advanced PD patients was changed within five minutes after switching the DBS on or off. In that study, a negative correlation of occipital alpha was found with UPDRS motor scores and rigidity subscores (Airaksinen et al, 2012).…”

Section: Subjectsmentioning

confidence: 99%

“…Also a study of Airaksinen et al (2012) with magnetoencephalography (MEG) showed that the brain activity of advanced PD patients was changed within five minutes after switching the DBS on or off. In that study, a negative correlation of occipital alpha was found with UPDRS motor scores and rigidity subscores (Airaksinen et al, 2012). Response to motor fluctuations may appear more slowly, but in this study the tremor and rigidity were the focus of interest.…”

Section: Subjectsmentioning

confidence: 99%

Signal features of surface electromyography in advanced Parkinson’s disease during different settings of deep brain stimulation

Rissanen

Ruonala

Pekkonen

et al. 2015

Clinical Neurophysiology

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h i g h l i g h t sEfficacy of deep brain stimulation (DBS) treatment was quantified here by using surface EMG and acceleration measurements. EMG signal features differed between different DBS settings for biceps brachii muscles. EMG features pointed to previously defined optimal settings in most of patients. a b s t r a c tObjective: Electromyography (EMG) and acceleration (ACC) measurements are potential methods for quantifying efficacy of deep brain stimulation (DBS) treatment in Parkinson's disease (PD). The treatment efficacy depends on the settings of DBS parameters (pulse amplitude, frequency and width). This study quantified, if EMG and ACC signal features differ between different DBS settings and if DBS effect is unequal between different muscles. Methods: EMGs were measured from biceps brachii (BB) and tibialis anterior (TA) muscles of 13 PD patients. ACCs were measured from wrists. Measurements were performed during seven different settings of DBS and analyzed using methods based on spectral analysis, signal morphology and nonlinear dynamics. Results:The results showed significant within-subject differences in the EMG signal kurtosis, correlation dimension, recurrence rate and EMG-ACC coherence between different DBS settings for BB but not for TA muscles. Correlations between EMG feature values and clinical rest tremor and rigidity scores were weak but significant. Conclusions: Surface EMG features differed between different DBS settings and DBS effect was unequal between upper and lower limb muscles. Significance: EMG changes pointed to previously defined optimal settings in most of patients, which should be quantified even more deeply in the upcoming studies.

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“…Studies using the tSSS method have shown to reliably reject DBS and nearby artefacts while still retaining sensible brain signals (Taulu and Hari, 2009;Airaksinen et al, 2011Airaksinen et al, , 2012.…”

Section: Maxfiltermentioning

confidence: 99%

Neuromagnetic investigations of mechanisms and effects of STN-DBS and medication in Parkinson's disease

Sridharan¹

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Somatomotor mu rhythm amplitude correlates with rigidity during deep brain stimulation in Parkinsonian patients

Cited by 46 publications

References 45 publications

Better Get Back to Work: A Role for Motor Beta Desynchronization in Incentive Motivation

Better Get Back to Work: A Role for Motor Beta Desynchronization in Incentive Motivation

Signal features of surface electromyography in advanced Parkinson’s disease during different settings of deep brain stimulation

Neuromagnetic investigations of mechanisms and effects of STN-DBS and medication in Parkinson's disease

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