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Published on: June 29, 2021
Neural Mechanisms of Bidirectional Visuo-Linguistic Transformation in Interactive Communication
Yulei Shen1,2, Takahiko Koike2,3, Shohei Tsuchimoto4
1Department of Cognitive & Psychological Sciences, Graduate School of Informatics, Nagoya University, Nagoya, Japan.
This study reveals how the brain flexibly shifts between seeing and speaking during communication. Neural connections between key brain areas dynamically change to support this visual-to-language processing.
Area of Science:
- Neuroscience
- Cognitive Science
- Psycholinguistics
Background:
- Human communication relies on transforming visual information into language and vice versa.
- Neural basis of bidirectional visual-linguistic processing in social contexts is unclear.
Purpose of the Study:
- Investigate neural mechanisms of encoding visual stimuli to language and decoding language to mental imagery.
- Examine dynamic brain connectivity during interactive communication.
Main Methods:
- Utilized hyperscanning functional magnetic resonance imaging (fMRI).
- Employed a role-switching communicative task.
- Applied dynamic causal modeling (DCM) to analyze effective connectivity.
Main Results:
- Whole-brain analyses identified key regions: inferior frontal gyrus (IFG), fusiform face area (FFA), and intraparietal sulcus (IPS).
- DCM revealed dynamic reconfiguration of connectivity among IFG, FFA, and IPS.
- Connectivity shifts supported role-dependent top-down and bottom-up information flow.
Conclusions:
- The brain exhibits a flexible, coordinated neural architecture for integrating visual and linguistic information.
- Interplay between perceptual and language systems underlies human communication.
- Findings offer novel insights into the neural basis of social interaction and language processing.
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