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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.
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http://dx.doi.org/10.1016/j.neuroimage.2019.06.008 | DOI Listing |
Imaging Neurosci (Camb)
August 2025
School of Psychology, University of Sussex, Brighton, United Kingdom.
Color information is thought to enter the cortex via two dominant retinogeniculate pathways, one signaling teal to red, and the other violet to lime color variation. The cortex is thought to transform this representation, but the properties of human cortical color mechanisms are not very well understood. In four experiments, we characterized the tuning of cortical color mechanisms by measuring the intermodulation of steady-state visually evoked potentials (SSVEPs), thought to index the extent to which shared neural resources process stimuli flickering at different frequencies.
View Article and Find Full Text PDFJ Opt Soc Am A Opt Image Sci Vis
May 2025
Characterization of postreceptoral chromatic mechanisms is an active challenge in color vision research. Adding to evidence from human psychophysics and primate neurophysiology, human neuroimaging using electroencephalography (EEG) in combination with steady-state visually evoked potentials (SSVEPs) has recently been used to investigate the tuning of cortical color mechanisms. We compare the performance of two SSVEP-based methods for measuring the tuning of cortical color mechanisms: an intermodulation component (IM)-based method and an oddball method.
View Article and Find Full Text PDFJ Neural Eng
July 2025
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, People's Republic of China.
. With the rapid development of brain-computer interface (BCI) technology, steady-state visual evoked potential (SSVEP) has emerged as an effective method for high-efficiency information transmission. However, traditional single-frequency stimulation methods face limitations in command set scalability and visual comfort.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Aviation Engineering School, Air Force Engineering University, Xi'an 710038, China.
Microwave phase detectors (MPDs) are key components of instantaneous frequency measurement (IFM) receivers and phase interferometer direction finding (PIF-DF) receivers. In conventional analyses, there is seldom a major quantitative discussion of MPD characterization when multiple signals arrive at the same time, which is often the case in complex and noisy electromagnetic environments. We have reanalyzed the characteristics of MPDs with respect to filter effects acting on more than two RF signals and differential amplifiers, which are not considered in conventional analyses.
View Article and Find Full Text PDFCortex
December 2024
Department of Experimental Clinical and Health Psychology, Ghent University, Ghent, 9000, Belgium.
Extensive research has demonstrated that visual and motor cortices can simultaneously represent multiple observed actions. This ability undoubtedly constitutes a crucial ingredient for the understanding of complex visual scenes involving different agents. However, it is still unclear how these distinct representations are integrated into coherent and meaningful percepts.
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