Alterations in the amplitude and burst rate of beta oscillations impair reward-dependent motor learning in anxiety

Sporn, Sebastian; Hein, Thomas; Ruiz, María Herrojo

doi:10.7554/elife.50654

Cited by 39 publications

(71 citation statements)

References 79 publications

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“…The baseline phase allowed us to obtain a measure of motor noise, which represents the residual variability that is expressed when aiming to accurately reproduce the same action [29,4]. During reward-based learning blocks, participants completed our recently developed reward-based motor sequence learning task [14]. In this task, participants received continuous reward in the form of a trialwise feedback score (range 0-100) to discover a hidden performance goal: a timing pattern.…”

Section: Resultsmentioning

confidence: 99%

“…The performance measure that was rewarded during learning blocks was the Euclidean norm of the vector corresponding to the pattern of temporal differences between adjacent interkeystroke-intervals (IKI, in s) for a trial-specific performance (as in [14]). To approach the hidden target performance, participants had to deviate from an isochronous performance and find out the right combination of successive IKIs.…”

Section: Reward Functionmentioning

confidence: 99%

“…In this context, any residual variability can be regarded to reflect motor noise [29,4], which here was measured using cvIKIacross and cvKvelacross in this initial phase. During learning blocks, the level of task-related motor variability, cvIKIacross, was considered to primarily reflect intentional exploration of this parameter but also some degree of unintentional motor noise -similarly to other studies [5,4,14]. In contrast with timing performance, we assumed that participants would not intentionally modify keystroke velocity during learning.…”

Section: Acquisition and Analysis Of Behavioural Datamentioning

confidence: 99%

“…The pwPE expressions for level 1 and 2 share the general form of Eq. 2, and detailed definitions can be found in [33,34,14]. Equation 2 illustrates that higher uncertainty in the current level (larger σ k i , smaller π k i in the denominator) leads to faster update of expectations; moreover, a smaller prediction of uncertainty on the level below (larger π k−1 i−1 ) also increases the update of expectations.…”

Section: Bayesian Model Of Behaviourmentioning

confidence: 99%

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Modulation of neural activity in frontopolar cortex drives reward-based motor learning

Ruiz

Maudrich

Kalloch

et al. 2021

Preprint

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The frontopolar cortex (FPC) contributes to tracking the reward of alternative choices during decision making, as well as their reliability. Whether this FPC function extends to reward gradients associated with continuous movements during motor learning remains unknown. We used anodal transcranial direct current stimulation (tDCS) over the right FPC to investigate its role in reward-based motor learning. Nineteen healthy human participants completed a motor sequence learning task using trialwise reward feedback to discover a hidden goal along a continuous dimension: timing. As additional conditions, we modulated the contralateral motor cortex (left M1) activity, and included a control sham stimulation. Right FPC-tDCS led to faster learning compared to lM1-tDCS and sham through regulation of motor variability. Computational modelling revealed that in all stimulation protocols, an increase in the trialwise expectation of reward was followed by greater exploitation, as shown previously. Yet, this association was weaker in lM1-tDCS suggesting a less efficient learning strategy. The effects of frontopolar stimulation were dissociated from those induced by lM1-tDCS and sham, as motor exploration was more sensitive to inferred changes in the reward tendency (volatility). The findings suggest that rFPC-tDCS increases the sensitivity of motor exploration to updates in reward volatility, accelerating reward-based motor learning.

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Section: Resultsmentioning

confidence: 99%

Section: Reward Functionmentioning

confidence: 99%

Section: Acquisition and Analysis Of Behavioural Datamentioning

confidence: 99%

Section: Bayesian Model Of Behaviourmentioning

confidence: 99%

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Modulation of neural activity in frontopolar cortex drives reward-based motor learning

Ruiz

Maudrich

Kalloch

et al. 2021

Preprint

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“…In particular, beta and gamma bursts [65], as well as the duration of sharp wave ripples [72] have been found to be related to memory. State anxiety was shown to be related to beta burst duration changes in the sensorimotor and prefrontal cortex [73]. Perception [11] and pain [74] are some other examples of fields where the importance of transient neural oscillations has been demonstrated.…”

Section: Analytical Expression Of Average Burst Duration In Envelope mentioning

confidence: 99%

Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease

Duchet

Ghezzi

Weerasinghe

et al. 2020

Preprint

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1Parkinson's disease motor symptoms are associated with an increase in subthalamic 2 nucleus beta band oscillatory power. But these oscillations are phasic, and there is a 3 growing body of evidence suggesting that beta burst duration may be of critical 4 importance to motor symptoms, making insights into the dynamics of beta bursting 5 generation valuable. In this study, we ask the question "Can average burst duration 6 reveal how dynamics change between the ON and OFF medication states?". Our 7 analysis of local field potentials from the subthalamic nucleus demonstrates using linear 8 surrogates that the system generating beta oscillations acts in a more non-linear regime 9 OFF medication and that the change in the degree of non-linearity is correlated with 10 motor impairment. Further, we pinpoint specific dynamical changes responsible for 11 changes in the temporal patterning of beta oscillations between medication states by 12 fitting to data biologically inspired models, and simpler beta envelope models. Finally, 13 we show that the non-linearity can be directly extracted from average burst duration 14 profiles under the assumption of constant noise in envelope models. This reveals that 15 average burst duration profiles provide a window into burst dynamics, which may 16 underlie the success of burst duration as a biomarker. In summary, we demonstrate a 17 relationship between average burst duration profiles, dynamics of the system generating 18 beta oscillations, and motor impairment, which puts us in a better position to 19 understand the pathology and improve therapies such as deep brain stimulation. 20 April 27, 2020 1/39 65 OFF medication states to changes in dynamical properties of the system generating 66 beta oscillations? 67In previous studies, STN beta bursts have been mostly studied based on one 68 arbitrary threshold of the beta envelope as events above the threshold, potentially with 69April 27, 2020 2/39 a minimum duration condition (examples of various thresholds shown in Fig 1A). 70Average burst duration and amplitude profiles describing the average burst duration 71 and amplitude for a range of thresholds (see Fig 1A and Fig 1B for an illustration of 72 average burst duration profiles) have been introduced [13,14]. However, they played a 73 minor role and have not been considered systematically on an individual patient basis. 74 Here, we leave behind the arbitrary choice of a threshold by relying on profiles across 75 thresholds to provide an unbiased characterisation of beta oscillation temporal 76 patterning. It has been established that STN beta burst duration is a better metric 77 than burst amplitude to distinguish between the healthy and pathological states in an 78 animal model of PD [19]. We begin our study by investigating in STN recordings of PD 79 patients whether average burst duration profiles are better at distinguishing between the 80 ON and OFF medication states than average burst amplitude profiles. We only observe 81 changes in temporal patterning of beta oscillations in...

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Harnessing Brainwave Entrainment: A Non-invasive Strategy To Alleviate Neurological Disorder Symptoms

Sahu,

Ambasta,

Das

et al. 2024

Ageing Research Reviews

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Alterations in the amplitude and burst rate of beta oscillations impair reward-dependent motor learning in anxiety

Cited by 39 publications

References 79 publications

Modulation of neural activity in frontopolar cortex drives reward-based motor learning

Modulation of neural activity in frontopolar cortex drives reward-based motor learning

Average beta burst duration profiles provide a signature of dynamical changes between the ON and OFF medication states in Parkinson’s disease

Harnessing Brainwave Entrainment: A Non-invasive Strategy To Alleviate Neurological Disorder Symptoms

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