English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse
  1. View item / 
  2. Item Summary

Item

ITEM ACTIONSEXPORT
Add to Basket
  Local TagsRelease HistoryDetailsSummary

Released
Journal Article

Rapid invisible frequency tagging (RIFT): A promising technique to study neural and cognitive processing using naturalistic paradigms

MPS-Authors
/persons/resource/persons256312

Seijdel,  Noor
The Communicative Brain, MPI for Psycholinguistics, Max Planck Society;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;

/persons/resource/persons188997

Drijvers,  Linda
The Communicative Brain, MPI for Psycholinguistics, Max Planck Society;
Neurobiology of Language Department, MPI for Psycholinguistics, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

Seijdel_etal_2023_RIFT.pdf
(Publisher version), 414KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Seijdel, N., Marshall, T. R., & Drijvers, L. (2023). Rapid invisible frequency tagging (RIFT): A promising technique to study neural and cognitive processing using naturalistic paradigms. Cerebral Cortex, 33(5), 1626-1629. doi:10.1093/cercor/bhac160.


Cite as: https://hdl.handle.net/21.11116/0000-000A-3A3C-3
Abstract
Frequency tagging has been successfully used to investigate selective stimulus processing in electroencephalography (EEG) or magnetoencephalography (MEG) studies. Recently, new projectors have been developed that allow for frequency tagging at higher frequencies (>60 Hz). This technique, rapid invisible frequency tagging (RIFT), provides two crucial advantages over low-frequency tagging as (i) it leaves low-frequency oscillations unperturbed, and thus open for investigation, and ii) it can render the tagging invisible, resulting in more naturalistic paradigms and a lack of participant awareness. The development of this technique has far-reaching implications as oscillations involved in cognitive processes can be investigated, and potentially manipulated, in a more naturalistic manner.