Literature DB >> 31173903

From intermodulation components to visual perception and cognition-a review.

Noam Gordon1, Jakob Hohwy2, Matthew James Davidson3, Jeroen J A van Boxtel4, Naotsugu Tsuchiya5.   

Abstract

Perception results from complex interactions among sensory and cognitive processes across hierarchical levels in the brain. Intermodulation (IM) components, used in frequency tagging neuroimaging designs, have emerged as a promising direct measure of such neural interactions. IMs have initially been used in electroencephalography (EEG) to investigate low-level visual processing. In a more recent trend, IMs in EEG and other neuroimaging methods are being used to shed light on mechanisms of mid- and high-level perceptual processes, including the involvement of cognitive functions such as attention and expectation. Here, we provide an account of various mechanisms that may give rise to IMs in neuroimaging data, and what these IMs may look like. We discuss methodologies that can be implemented for different uses of IMs and we demonstrate how IMs can provide insights into the existence, the degree and the type of neural integration mechanisms at hand. We then review a range of recent studies exploiting IMs in visual perception research, placing an emphasis on high-level vision and the influence of awareness and cognition on visual processing. We conclude by suggesting future directions that can enhance the benefits of IM-methodology in perception research.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  EEG; Frequency tagging; Intermodulation (IM) components; MEG; Neural interactions; Perception; Signal integration

Mesh:

Year:  2019        PMID: 31173903     DOI: 10.1016/j.neuroimage.2019.06.008

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  7 in total

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Authors:  Elise L Radtke; Benjamin Schöne; Ulla Martens; Thomas Gruber
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Authors:  Li Gu; Siyuan Deng; Lei Feng; Jin Yuan; Zhipeng Chen; Jianhua Yan; Xuan Qiu; Zhonghao Wang; Minbin Yu; Zidong Chen; Xiang Wu; Jinrong Li; Zhong-Lin Lu
Journal:  iScience       Date:  2020-01-31

5.  40-Hz Binaural beats enhance training to mitigate the attentional blink.

Authors:  Bernhard Ross; Marc Danzell Lopez
Journal:  Sci Rep       Date:  2020-04-24       Impact factor: 4.379

6.  The SSVEP tracks attention, not consciousness, during perceptual filling-in.

Authors:  Jeroen Ja van Boxtel; Naotsugu Tsuchiya; Matthew J Davidson; Will Mithen; Hinze Hogendoorn
Journal:  Elife       Date:  2020-11-10       Impact factor: 8.140

7.  The dynamics of reading complex words: evidence from steady-state visual evoked potentials.

Authors:  Elisabeth Beyersmann; Veronica Montani; Johannes C Ziegler; Jonathan Grainger; Ivilin Peev Stoianov
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  7 in total

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