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Using EEG to study sensorimotor adaptation.

Eva-Maria Reuter¹, Arthur Booms², Li-Ann Leow³

¹Department of Sport and Health Sciences, Technical University of Munich, Munich, Germany.

Neuroscience and Biobehavioral Reviews

|January 12, 2022

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Sensorimotor adaptation allows movement adjustments to environmental changes. Electroencephalography (EEG) reveals neural mechanisms underlying this adaptation, offering insights into brain activity during movement learning.

Area of Science:

Neuroscience
Motor Control
Cognitive Science

Background:

Sensorimotor adaptation is essential for efficient movement in dynamic environments.
Established behavioral and computational methods exist for studying sensorimotor adaptation.
Integrating electroencephalography (EEG) with these methods offers novel insights into neural mechanisms.

Purpose of the Study:

To review studies combining EEG with sensorimotor adaptation research.
To discuss EEG markers, predictors of adaptation success, and latent processes.
To highlight EEG's potential for advancing understanding of sensorimotor adaptation.

Main Methods:

Review of existing literature combining EEG and sensorimotor adaptation.
Analysis of EEG data in the frequency and temporal domains.

Keywords:

Electroencephalography Force field adaptation Motor learning Neural mechanisms Prism adaptation Visuomotor rotation

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Identification of EEG predictors for successful adaptation.

Main Results:

EEG provides markers for sensorimotor adaptation in both frequency and temporal domains.
Specific EEG patterns can predict successful adaptation.
EEG can reveal underlying processes like spatial attention modulation during adaptation.

Conclusions:

EEG is a valuable tool for investigating the neural basis of sensorimotor adaptation.
Its high temporal resolution is particularly useful for understanding rapid neural processes.
Further research using EEG can deepen our comprehension of motor learning and adaptation.