Auditory illusory models as proxies to investigate bottom-up and top-down neural networks of phantom perception Article Swipe
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· 2025
· Open Access
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· DOI: https://doi.org/10.1162/imag_a_00574
Auditory phantom perception, exemplified by tinnitus, is characterized by a perceptual experience without external stimuli. This study utilized two auditory illusions, the Zwicker Tone (ZT) and Conditioned Hallucinations (CH), as proxies to investigate the neural correlates of bottom-up and top-down mechanisms underlying phantom auditory perception. Using a within-subject design, ZT, driven by temporary sensory deficits, and CH, influenced by multisensory expectations, were examined in a sample of healthy participants. Electrophysiological measures revealed distinct time–frequency patterns, with increased theta activity in central regions during ZT perception but decreased parietal theta power during CH perception. Key regions in the ZT network, including the medial prefrontal cortex, lateral orbitofrontal cortex, and ventral posterior cingulate cortex, suggested the involvement of the default mode network and predictive processing in compensating for sensory deficits. In contrast, CH perception implicated the parahippocampus, entorhinal cortex, and inferior temporal gyrus in modulating multisensory associations and cognitive expectations. Taken together, this study revealed the neural mechanism of two auditory illusions, which enhances understanding of tinnitus mechanism. The results also highlight potential neural targets for neuromodulation interventions addressing both sensory and cognitive components of chronic phantom perception.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1162/imag_a_00574
- OA Status
- diamond
- Cited By
- 1
- References
- 102
- Related Works
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- OpenAlex ID
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https://openalex.org/W4409720867Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1162/imag_a_00574Digital Object Identifier
- Title
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Auditory illusory models as proxies to investigate bottom-up and top-down neural networks of phantom perceptionWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-01-01Full publication date if available
- Authors
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Feifan Chen, Anusha Mohan, Colum Ó Sé, Sven VannesteList of authors in order
- Landing page
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https://doi.org/10.1162/imag_a_00574Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.1162/imag_a_00574Direct OA link when available
- Concepts
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Perception, Imaging phantom, Top-down and bottom-up design, Artificial neural network, Psychology, Cognitive psychology, Illusion, Computer science, Illusory contours, Artificial intelligence, Neuroscience, Optical illusion, Physics, Optics, Software engineeringTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| publication_date | 2025-01-01 |
| publication_year | 2025 |
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