University of Twente Student Theses
Decoding Neural Signatures of Language Comprehension and Production through EEG based Brain-Computer Interfaces
Krishnaswamynathan, Venkatasubramanian (2025) Decoding Neural Signatures of Language Comprehension and Production through EEG based Brain-Computer Interfaces.
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| Abstract: | Language is the cornerstone of human communication, not merely a tool for conveying thoughts but a lens through which we perceive and understand the world. The developmental trajectory from an infant's initial vocalizations to complex linguistic expression illustrates the remarkable process of first language acquisition. In contrast, acquiring a second language, especially in later life, presents unique cognitive challenges and fascinating neurological dynamics. Secondary language learning hinges on two critical cognitive processes: comprehension (decoding and understanding linguistic input) and production (generating coherent linguistic responses). These processes engage distinct yet interconnected neural circuits, each presenting unique cognitive demands. While comprehension involves semantic and syntactic decoding, production requires intricate neural orchestration for linguistic construction of thought. Despite their fundamental role in communication, distinguishing the neural mechanisms underlying comprehension and formation difficulties has remained a significant challenge in cognitive neuroscience. This thesis employs a sophisticated, non-invasive EEG-based brain-computer interface to systematically identify and analyze neural features and markers differentiating these cognitive states. By examining spectral, topographical, and functional connectivity patterns of brain signals across comprehension and formation difficulties (relative to a baseline relaxed state), this research aims to provide insights into secondary language acquisition mechanisms. The potential implications extend beyond theoretical neuroscience, promising to enhance language learning technologies and rehabilitation strategies for individuals with language-related neurological conditions such as aphasia. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 05 communication studies, 17 linguistics and theory of literature, 54 computer science |
| Programme: | Interaction Technology MSc (60030) |
| Link to this item: | https://purl.utwente.nl/essays/104958 |
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