Zhigalov, Alexander and Jensen, Ole (2026). Rapid invisible frequency tagging (RIFT) does not evoke intermodulation components in the neural response. PLoS ONE, 21 (3),
Abstract
The human visual system performs nonlinear integrative operations at multiple stages of visual information processing. For instance, integrating parts of visual stimuli into a coherent object involves coordinated neural processing along the visual hierarchy. However, it remains uncertain whether visual integration manifests in a nonlinear neural response, particularly through intermodulation components in the power spectrum. In this study, we used a visual motion paradigm combined with rapid invisible frequency tagging (RIFT) and magnetoencephalography (MEG) to explore nonlinear characteristics of neural responses associated with visual integration. In this paradigm, two grating patches were moving coherently or incoherently, and were modulated by RIFT at 56 and 63 Hz, respectively. The behavioural results revealed that the participants responded more accurately and faster to probes during coherent compared to incoherent motion. Moreover, the type of motion elicited differential effects on pupil dilation, with significantly larger pupil diameter observed during incoherent motion. To evaluate the neural response to coherent and incoherent motion stimuli, we assessed spectral coherence between MEG and RIFT. We observed a strong coherence at the tagging frequencies (f1 = 56 and f2 = 63 Hz) as well as at the higher harmonics at 112 Hz and 126 Hz, respectively. Importantly we did not observe a response at frequencies of the intermodulation (f2–f1, f2 + f1); nor did we observe a difference when comparing the coherence and incoherent motion. We conclude that in contrast to studies with low-frequency visible tagging, RIFT does not evoke intermodulation components and therefore, its applicability for investigating the neural mechanisms of visual integration might be limited.
| Publication DOI: | https://doi.org/10.1371/journal.pone.0343916 |
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| Divisions: | College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design College of Engineering & Physical Sciences College of Engineering & Physical Sciences > School of Engineering and Technology Aston University (General) |
| Funding Information: | Wellcome Trust Discovery Award (grant number 227420) to O.J.; NIHR Oxford Health Biomedical Research Centre (NIHR203316) to O.J. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. |
| Additional Information: | © 2026 Zhigalov, Jensen . This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Publication ISSN: | 1932-6203 |
| Data Access Statement: | MEG data in MATLAB format are available on the OSF server (https://osf.io/a9quw) |
| Last Modified: | 10 Mar 2026 12:10 |
| Date Deposited: | 10 Mar 2026 12:10 |
| Full Text Link: | |
| Related URLs: |
https://journal ... al.pone.0343916
(Publisher URL) |
PURE Output Type: | Article |
| Published Date: | 2026-03-04 |
| Accepted Date: | 2026-02-12 |
| Authors: |
Zhigalov, Alexander
(
0000-0002-3359-5093)
Jensen, Ole |
0000-0002-3359-5093