Research › QEEG, Methods & Mechanisms
Analysis of single trial movement-related brain macropotential
STS Instructor Authored by Giuseppe A. Chiarenza
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Study at a glance
- Area
- QEEG, Methods & Mechanisms
- Authors
- Chiarenza GA, Cerutti S, Liberati D
- Journal
- International Journal of Psychophysiology
- Year
- 1994
- Participants
- 3
- Protocol
- autoregressive (ARX) single-trial modelling of movement-related potentials
Key findings
- Single-trial estimation markedly improved signal-to-noise ratio
- The same model also reduced ocular artefacts efficiently
- Movement-related potentials varied substantially from trial to trial
- Variability appeared related to movement programming and error evaluation; tested in only 3 people
Movement-related brain potentials are normally studied by averaging many trials, which hides how they change from one movement to the next. This methods paper presents a statistical modelling approach that uses the average as a template and treats ongoing EEG and eye activity as separate noise inputs, so the potential can be estimated on each single trial. Simulations and recordings showed a large gain in signal-to-noise ratio and effective removal of eye artefacts, and the single-trial potentials varied considerably, which the authors link to movement planning and error evaluation.