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Rapid invisible frequency tagging (RIFT): a promising technique to study neural and cognitive processing using
Noor Seijdel1, Tom R Marshall2, Linda Drijvers1
1Max Planck Institute for Psycholinguistics, Nijmegen 6525 XD, The Netherlands.
Cerebral Cortex (New York, N.Y. : 1991)
|April 22, 2022
Summary
Rapid invisible frequency tagging (RIFT) advances electroencephalography and magnetoencephalography by enabling high-frequency tagging. This preserves low-frequency oscillations and allows for more naturalistic cognitive studies.
Area of Science:
- Neuroscience
- Cognitive Science
- Biophysics
Background:
- Frequency tagging is a established method for studying selective stimulus processing using EEG/MEG.
- Traditional low-frequency tagging can interfere with endogenous neural oscillations.
Purpose of the Study:
- Introduce and evaluate rapid invisible frequency tagging (RIFT) for enhanced EEG/MEG research.
- Highlight RIFT's advantages over low-frequency tagging methods.
Main Methods:
- Development of projectors capable of high-frequency (>60 Hz) tagging.
- Application of RIFT in electroencephalography (EEG) and magnetoencephalography (MEG) paradigms.
Main Results:
- RIFT successfully tags neural activity at higher frequencies.
- RIFT leaves low-frequency oscillations unperturbed for separate investigation.
- RIFT can render tagging stimuli invisible, promoting naturalistic experimental conditions.
Conclusions:
- RIFT offers significant advantages for studying cognitive processes with EEG/MEG.
- The technique allows for investigation and potential manipulation of neural oscillations in more naturalistic settings.
