Disentangling unisensory and multisensory components in audiovisual integration using a novel multifrequency fMRI spectral analysis
Abstract
Events in the world are mediated through multiple sensory inputs which are processed separately in specific unisensory areas according to the division-of-labor principle, and then need to be integrated to create a unified percept. How this is done is still not clear. For instance, recent evidence showed crossmodal activation in primary areas. We developed a novel approach to study multisensory integration using multifrequency spectral analysis to investigate the processing of audio and visual streams in a multisensory context. Auditory and visual stimuli were delivered in the same experimental condition, each in different presentation frequencies, and thus could be detected by applying Fourier spectral analysis in their different presentation frequencies. The cochleotopic and retinotopic organization of primary auditory and visual areas were found to remain intact in spite of the multisensory context. Auditory responses were also found in the Precuneus, suggesting that it might be a new auditory area responsive to pure tone stimuli, and serving as one end of a novel sensory preference gradient stretching across POG to the calcarine sulcus. Additional audiovisual areal convergence was detected both in areas in the middle of sensory preference gradients, and in primary auditory areas. Interestingly, the in/out synchronization rate of the auditory and visual streams yielded a third interaction frequency, which could be analyzed independently to reveal higher-order audiovisual interaction responses. These results were detected in one compact and natural multisensory experimental condition, which has several advantages over previous approaches. The method can be further implemented to study any type of interaction, within and across sensory modalities.
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The precuneus has been identified as an area responding to both visual and auditory stimuli and possibly serving as an audiovisual convergence area.
“The precuneus has been identified as an area responding to both visual and auditory stimuli and possibly serving as an audiovisual convergence area [25].”
From Decoding sound and imagery content in early visual cortex (2014) · cites this paper as [25]
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Self-citation
Flagged first, then by citations
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Justo Gonzalo (1910-1986) y su investigación sobre dinámica cerebral
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- Authors
- Hertz, U., & Amedi, A.
- Affiliations
- Hebrew University of Jerusalem (IL)
- Corresponding author
- Amedi, Amir
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-08-15
- Volume
- 52
- Issue
- 2
- Pages
- 617-632
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2143708988
- Cited by
- 43
- References
- 112
- Citations by year
- 2023: 1 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 6 · 2016: 5 · 2015: 2 · 2014: 6 · 2013: 4 · 2012: 4
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Multisensory perception and integration
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neuroscience and Music Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- audiovisual integration, multisensory integration, primary auditory cortex, primary visual cortex, retinotopic organization, precuneus, calcarine sulcus, interaction frequency, division of labor
- MeSH terms
- Acoustic Stimulation, Adult, Auditory Pathways, Auditory Perception, Brain, Cochlea, Female, Fourier Analysis, Humans, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Photic Stimulation, Retina, Signal Processing, Computer-Assisted, Visual Pathways, Visual Perception, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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