Evidence map›Paper›PMID 42694198›Full record

ArticleFrontiers in neuroergonomics2026

Beyond flickering: introducing code-modulated motion visual evoked potentials for brain-computer interfacing.

Hanneke A Scheppink, Rainer Herpers, Jordy Thielen, Ivan Volosyak

Abstract read
In one paragraph

Article in Frontiers in neuroergonomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hanneke A ScheppinkFaculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, Germany.
Rainer HerpersDepartment of Informatics and Data Science, Doctoral School for Applied Research in North Rhine-Westphalia, Bochum, Germany.
Jordy ThielenRadboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, Netherlands.
Ivan VolosyakFaculty of Technology and Bionics, Rhine-Waal University of Applied Sciences, Kleve, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a novel code-modulated motion visual evoked potential (c-MVEP) paradigm for brain-computer interfacing (BCI). To avoid the visual discomfort and fatigue often associated with traditional flickering stimuli, this paradigm uses pseudo-random sequences to visually stimulate objects using motion. We conducted offline and online experiments, to investigate signal characteristics and evaluate practical feasibility, respectively. In the offline experiment, EEG data were recorded and compared during sequential stimulation of a single target under four conditions: c-MVEP, code-modulated visual evoked potential (c-VEP), steady-state motion visual evoked potential (SSMVEP), and steady-state visual evoked potential (SSVEP). The c-MVEP evoked similar temporal and broadband spectral responses as c-VEP, with a comparable signal-to-noise ratio (SNR), although c-MVEP responses were more focused in the lower frequency range. While SSMVEP and SSVEP both showed clear harmonic oscillations, SSVEP yielded higher SNRs. Spatially, both motion-based stimulations peaked at Oz but spread across multiple electrodes, whereas both flicker-based stimulations were more localized at Oz. In the online experiment, we evaluated a four-target BCI using the same four conditions, testing the practical feasibility of the c-MVEP paradigm. The c-MVEP BCI reached a mean accuracy of 85.67% with an average selection time of 2.61 s, which was significantly lower than c-VEP (97.81%; 1.15 s) and SSVEP (93.42%; 1.94 s), but significantly higher than SSMVEP (64.91%; 4.18 s). The subjective ratings revealed no clear preference between the motion- and flicker-based paradigms, indicating comparable user comfort. Overall, this study demonstrates the strong potential of the newly proposed c-MVEP paradigm. By providing an effective, non-flickering alternative to traditional c-VEP and SSVEP, c-MVEP offers a highly viable approach for user-friendly BCI applications.

Indexed as

BCI user comfortbrain-computer interface (BCI)code-modulated motion visual evoked potential (c-MVEP)code-modulated visual evoked potential (c-VEP)electroencephalography (EEG)flicker-free VEPsteady-state motion visual evoked potential (SSMVEP)steady-state visual evoked potential (SSVEP)

Identifiers

PMID42694198
PMCPMC13538422

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.