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Functional and structural brain asymmetries in sign language processing.
Patrick C Trettenbrein1, Emiliano Zaccarella2, Angela D Friederici2
1Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany; International Max Planck Research School on Neuroscience of Communication: Structure, Function, and Plasticity (IMPRS NeuroCom), Leipzig, Germany; Experimental Sign Language Laboratory (SignLab), Department of German Philology, University of Göttingen, Göttingen, Germany.
Sign language processing in the brain largely mirrors spoken language, with the left hemisphere dominant. However, the right hemisphere plays a unique role in processing signed language features, highlighting brain plasticity.
Area of Science:
- Cognitive Neuroscience
- Linguistics
- Neurobiology
Background:
- Language is a defining human trait, not limited to speech.
- Sign languages are natural languages used by deaf communities, relying on visual-gestural modalities.
- Neuroimaging studies investigate the brain basis of sign language.
Purpose of the Study:
- To review the neural substrates of sign language processing.
- To examine functional and structural brain organization in sign language.
- To compare sign language processing with spoken/written language in the brain.
Main Methods:
- Review of neuroimaging research findings.
- Analysis of functional and structural brain organization.
- Comparison of left and right hemisphere involvement in sign language.
Main Results:
- Sign language processing is predominantly left-lateralized, similar to spoken language.
- The right hemisphere shows equipotentiality and supports unique signed modality constructions.
- A core language network in the left hemisphere is crucial for complex syntax, independent of modality.
Conclusions:
- The human brain exhibits remarkable plasticity in language processing across modalities.
- The left-hemisphere core language network is fundamental for complex syntax, suggesting evolutionary significance.
- Understanding sign language neural bases offers insights into the evolution of human language capacity.
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