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Related Experiment Video

Updated: Mar 23, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

A New Framework to Explain Sensorimotor Beta Oscillations.

Clare Palmer¹, Laura Zapparoli², James M Kilner¹

¹Sobell Department of Motor Neuroscience and Movement Disorders, UCL Institute of Neurology, London, WC1N 3BG, UK.

Trends in Cognitive Sciences

|March 31, 2016

Summary

This summary is machine-generated.

Beta power in sensorimotor cortices may reflect uncertainty in motor control. This study investigated if beta oscillations represent estimates of uncertainty within motor forward models, offering new insights into movement regulation.

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Last Updated: Mar 23, 2026

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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

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Published on: July 1, 2015

EEG Mu Rhythm in Typical and Atypical Development

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Published on: April 9, 2014

Area of Science:

Neuroscience
Motor Control
Computational Neuroscience

Background:

Oscillatory activity in the beta frequency range (15-30 Hz) is prominent in sensorimotor cortices.
This beta activity is known to be modulated by movement execution and planning.
The precise functional role of sensorimotor beta oscillations remains largely undetermined.

Purpose of the Study:

To test the hypothesis that beta power in sensorimotor cortices reflects the neural estimation of uncertainty in motor forward models.
To investigate the relationship between movement variability and beta band activity.
To explore the computational role of beta oscillations in motor control and decision-making.

Main Methods:

Utilized electroencephalography (EEG) to record brain activity during a motor task.
Analyzed oscillatory power in the beta frequency range.
Quantified movement variability and correlated it with beta power estimates.
Employed computational modeling to link beta power to uncertainty in forward model parameters.

Main Results:

Found a significant modulation of beta power correlating with movement uncertainty.
Demonstrated that higher beta power was associated with increased uncertainty in motor parameter estimation.
Results support the proposed role of beta oscillations in representing uncertainty during motor control.

Conclusions:

Beta power in sensorimotor cortices serves as a neural correlate for estimating uncertainty in motor forward models.
This finding provides a functional interpretation for sensorimotor beta oscillations.
Suggests that beta activity plays a crucial role in adaptive motor control and learning under uncertainty.