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Published on: August 12, 2019
Graph theoretical analysis reveals the functional role of the left ventral occipito-temporal cortex in speech
Shuai Wang1,2, Samuel Planton1,3, Valérie Chanoine1,2
1Aix Marseille Univ, CNRS, LPL, Aix-en-Provence, France.
The left ventral occipito-temporal cortex (left-vOT) is crucial for reading and also processes spoken language. This brain region acts as a communication hub, adapting its function based on speech context and task demands.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Brain Network Analysis
Background:
- The left ventral occipito-temporal cortex (left-vOT) is primarily known for its role in reading.
- Emerging evidence suggests the left-vOT also responds to auditory speech input, hinting at broader linguistic functions.
Purpose of the Study:
- To investigate the functional role of the left-vOT within the whole-brain network during spoken sentence processing.
- To explore how the left-vOT's connectivity patterns change across different auditory contexts and task difficulties.
Main Methods:
- Graph theoretical analysis was employed to examine functional connectivity.
- Participants processed spoken sentences under varying conditions of speech quality and task demands.
Main Results:
- The left-vOT consistently functions as an interface, facilitating communication between distributed brain regions and sub-networks.
- During simple speech perception, the left-vOT acts as a bridge within the visual network, connecting local, remote, and sub-network areas.
- When speech comprehension is required, the left-vOT's role and network affiliation dynamically shift based on speech signal quality and task difficulty.
Conclusions:
- The left-vOT plays a dynamic and context-dependent role in auditory language processing, extending beyond its established function in reading.
- Connectivity patterns reveal the left-vOT's adaptability in integrating auditory information within the broader language network.
- These findings enhance understanding of the neural mechanisms underlying the flexibility of the language network in response to processing demands.
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