Beta Rebound in Visuomotor Adaptation: Still the Status Quo?

Cao, Liyu; Hu, Y. M.

doi:10.1523/jneurosci.1007-16.2016

Cited by 37 publications

(37 citation statements)

References 16 publications

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“…For example, Tan et al () show that the amplitude of the PMBR correlates negatively with uncertainty in feedforward estimations. More generally, Cao and Hu () suggest that the beta rebound might not only correlate with estimation uncertainty but also reflect an updating process of the forward model. Reduced information processing speed in MS patients, as indicated by the lower SDMT scores, would likely lead to increased uncertainty and error on the forward model; such effects may well drive the correlation between SDMT scores and the time to PMBR peak observed here.…”

Section: Discussionmentioning

confidence: 99%

Abnormal task driven neural oscillations in multiple sclerosis: A visuomotor MEG study

Barratt

Tewarie

Clarke

et al. 2017

Human Brain Mapping

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Multiple sclerosis (MS) is a debilitating disease commonly attributed to degradation of white matter myelin. Symptoms include fatigue, as well as problems associated with vision and movement. Although areas of demyelination in white matter are observed routinely in patients undergoing MRI scans, such measures are often a poor predictor of disease severity. For this reason, it is instructive to measure associated changes in brain function. Widespread white-matter demyelination may lead to delays of propagation of neuronal activity, and with its excellent temporal resolution, magnetoencephalography can be used to probe such delays in controlled conditions (e.g., during a task). In healthy subjects, responses to visuomotor tasks are well documented: in motor cortex, movement elicits a localised decrease in the power of beta band oscillations (event-related beta desynchronisation) followed by an increase above baseline on movement cessation (post-movement beta rebound (PMBR)). In visual cortex, visual stimulation generates increased gamma oscillations. In this study, we use a visuomotor paradigm to measure these responses in MS patients and compare them to age-and gender-matched healthy controls. We show a significant increase in the time-to-peak of the PMBR in patients which correlates significantly with the symbol digit modalities test: a measure of information processing speed. A significant decrease in the amplitude of visual gamma oscillations in patients is also seen. These findings highlight the potential value of electrophysiological imaging in generating a new understanding of visual disturbances and abnormal motor control in MS patients. Hum Brain Mapp 38: 2441-2453, 2017.

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Section: Discussionmentioning

confidence: 99%

Abnormal task driven neural oscillations in multiple sclerosis: A visuomotor MEG study

Barratt

Tewarie

Clarke

et al. 2017

Human Brain Mapping

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“…Evidence indicates that post-movement beta rebound (PMBR) is associated with the process of maintaining or adapting the brain's internal model that controls movements based on a prediction of the consequences of those movements ( Cao and Hu, 2016 ). Variation in the magnitude of PMBR is greater when the discrepancy between the actual consequence of an action and the intended consequence is small, and furthermore this effect is increased if the prior performance history indicates that errors provide information that is useful for updating the brain's internal model.…”

Section: Introductionmentioning

confidence: 99%

“…Variation in the magnitude of PMBR is greater when the discrepancy between the actual consequence of an action and the intended consequence is small, and furthermore this effect is increased if the prior performance history indicates that errors provide information that is useful for updating the brain's internal model. Cao and Hu (2016) propose that high beta rebound is associated with the process of actively maintaining the current forward model that guides movement. Our finding of reduced PMBR in schizophrenia supports a hypothesis that there is impairment of the ‘top-down’ process by which anterior brain regions modulate perceptual or motor systems.…”

Section: Introductionmentioning

confidence: 99%

Changes in electrophysiological markers of cognitive control after administration of galantamine

Gascoyne

Mullinger

Robson

et al. 2018

NeuroImage: Clinical

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The healthy brain is able to maintain a stable balance between bottom-up sensory processing and top-down cognitive control. The neurotransmitter acetylcholine plays a substantial role in this. Disruption of this balance could contribute to symptoms occurring in psychosis, including subtle disruption of motor control and aberrant appropriation of salience to external stimuli; however the pathological mechanisms are poorly understood. On account of the role beta oscillations play in mediating cognitive control, investigation of beta oscillations is potentially informative about such mechanisms. Here, we used magnetoencephalography to investigate the effect of the acetylcholinesterase-inhibitor, galantamine, on beta oscillations within the sensorimotor region during both a sensorimotor task and a relevance–modulation task in healthy participants, employing a double blind randomized placebo controlled cross-over design. In the galantamine condition, we found a significant reduction in the post-movement beta rebound in the case of executed movements and also in a planned but not executed movement. In the latter case, the effect was significantly greater following task-relevant compared with irrelevant stimuli. The results suggest that the action of galantamine reduces the influence of top-down cognitive processing relative to bottom-up perceptual processing in a manner resembling changes previously reported in schizophrenia.

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“…The post-movement beta rebound is another example: It has been linked to feedback processing (Cao and Hu, 2016;Tan et al, 2016;Torrecillos et al, 2015), and recently we found that STN cells that are coupled to the post-movement rebound can also be coupled to motor cortical gamma oscillations at movement onset (Fischer et al, 2020), suggesting that distinct states of cortico-STN coupling are linked to distinct behavioural states. As our task involved continuous force regulation, our recordings did not allow us to assess HFA modulation relative to post-movement beta rebound activity, however, it will be interesting to see in future studies if the modulation patterns are the same as during isometric contractions.…”

Section: Future Implicationsmentioning

confidence: 86%

“…Beta oscillations (13)(14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30) are an abundant phenomenon in the cortico-basal gangliathalamo-cortical network and have been associated with a wide range of potential functions, including feedback processing (Cao and Hu, 2016;Tan et al, 2016;Torrecillos et al, 2015), communicating sensorimotor information across widespread areas (Classen et al, 1998;Kilavik et al, 2013;Rubino et al, 2006), maintaining muscle synergies (Aumann and Prut, 2015), movement inhibition (Aron et al, 2016), timing (Kononowicz et al, 2019) as well as clearing out previously held information (Schmidt et al, 2019). However, if instead of assigning broad functions, we aim to link the phenomenon of these oscillations to taskspecific neural computations, such as coincidence detection or recurrent amplification (Carandini, 2012;Douglas et al, 1995), we need to understand in more detail how basal ganglia and cortical activity patterns are co-modulated.…”

Section: Introductionmentioning

confidence: 99%

Basal ganglia high-frequency activity is co-modulated with the phase of motor cortical beta and shifted between the subthalamic nucleus and the internal pallidum during sustained motor control

Fischer

Pogosyan

Green

et al. 2020

Preprint

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Beta oscillations are readily observed in motor cortex and the basal ganglia, but to which extent they are functionally relevant is unclear. To understand how activity transfer between different nodes of the cortico-basal ganglia network is affected by cortical beta oscillations in different behavioural conditions, we recorded local field potentials and electroencephalography (EEG) activity in a low-force motor control task and during rest in Parkinson's patients undergoing deep brain stimulation (DBS) surgery. The patients received DBS of either the subthalamic nucleus (STN) or the internal globus pallidus (GPi), which allowed us to investigate if STN and GPi broad-band high-frequency activity (HFA; >150 Hz) is co-modulated with the phase of motor cortical beta activity. We found significant modulation patterns in the STN and the GPi, which were inverted while patients performed the task, showing that GPi activity fluctuations likely are crafted by other inputs than the direct excitatory STN afferents. We also found that consistent STN modulation disappeared during rest, showing disengagement in this condition, while GPi modulation was maintained, again evidencing that beta-band activity fluctuations in the GPi can be relatively independent of those in the STN. The difference between HFA modulation patterns in the task and rest recordings suggests a potential functional role of beta phase-locked HFA modulation in controlling sustained contractions. Examination of HFA co-modulation patterns at different sites of the cortico-basal ganglia-thalamo-cortical network under different behavioural conditions may provide a tool with which to define the impact of beta synchronization on network communication.

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Beta Rebound in Visuomotor Adaptation: Still the Status Quo?

Cited by 37 publications

References 16 publications

Abnormal task driven neural oscillations in multiple sclerosis: A visuomotor MEG study

Abnormal task driven neural oscillations in multiple sclerosis: A visuomotor MEG study

Changes in electrophysiological markers of cognitive control after administration of galantamine

Basal ganglia high-frequency activity is co-modulated with the phase of motor cortical beta and shifted between the subthalamic nucleus and the internal pallidum during sustained motor control

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