Related Experiment Video
Updated: Jul 15, 2025

How to Find Effects of Stimulus Processing on Event Related Brain Potentials of Close Others when Hyperscanning Partners
Published on: May 31, 2018
Pre-movement event-related potentials and multivariate pattern of EEG encode action outcome prediction
Edward Ody1, Tilo Kircher1, Benjamin Straube1
1Department of Psychiatry and Psychotherapy, University of Marburg, Marburg, Germany.
Pre-movement brain activity, including readiness potential (RP) and lateralized readiness potential (LRP), distinguishes active from passive movements. This neural activity encodes predictions of sensory outcomes, crucial for understanding self-initiated actions.
Area of Science:
- Neuroscience
- Cognitive Science
- Motor Control
Background:
- Self-initiated movements involve an efference copy, predicting sensory outcomes.
- Pre-motor event-related potentials (ERPs), such as readiness potential (RP) and lateralized readiness potential (LRP), are proposed neural markers for action feedback prediction.
- The specificity of these markers for active versus passive movements, which share sensory feedback but differ in efference copy, remains unclear.
Purpose of the Study:
- To investigate how active and passive movements are distinguishable using pre-movement electroencephalography (EEG).
- To examine if neural activity differences vary based on expected sensory outcomes.
- To determine if pre-movement EEG encodes action-feedback predictions.
Main Methods:
- Participants performed active (self-initiated) or passive (externally moved) finger movements.
- Movements were followed by visual, auditory stimuli, or no contingency (control).
- Pre-movement electroencephalography (EEG) was recorded, analyzing readiness potential (RP), lateralized readiness potential (LRP), and using multivariate pattern analysis (MVPA) for decoding.
Main Results:
- Readiness potential (RP) showed an interaction between task and movement type, differing in visual and auditory conditions but not control.
- Lateralized readiness potential (LRP) exhibited a main effect of movement, distinguishing active from passive actions.
- Multivariate pattern analysis (MVPA) successfully decoded movement type (active vs. passive) with high accuracy (~85%) and identified distinct neural patterns for expected sensory outcomes.
Conclusions:
- Pre-movement EEG, particularly RP and LRP, can differentiate between active and passive movements.
- The neural encoding of action-feedback predictions is influenced by the expectation of sensory outcomes.
- Pre-movement brain activity robustly represents predictions about subsequent sensory consequences of actions.
More Related Videos
11:15Applications of EEG Neuroimaging Data: Event-related Potentials, Spectral Power, and Multiscale Entropy
Published on: June 27, 2013
08:26Event-related Potentials During Target-response Tasks to Study Cognitive Processes of Upper Limb Use in Children with Unilateral Cerebral Palsy
Published on: January 11, 2016