Basic Lecture Information (Shanghai International Studies University Graduate Academic Training Camp)
Lecture Title: Neural Mechanisms of Speech Perception and Imagination Based on EEG/MEG and Frequency Tagging
(Neural underpinnings of imagined and perceived speech revealed by frequency-tagged M/EEG)
Speaker: Lu Lingxi
Organizer: Institute of Language Sciences
Date & Time: December 5, 2024 (Thursday), 11:45–12:45
Venue: Room 136, Teaching Building No. 5, Songjiang Campus
Speaker Biography
Lu Lingxi is a Researcher at the Center for Language and Cognitive Science, Beijing Language and Culture University. She received her Ph.D. in Basic Psychology from the School of Psychological and Cognitive Sciences at Peking University in 2018. From 2018 to 2020, she conducted postdoctoral research at the McGovern Institute for Brain Research and the MRI Research Center at Peking University. Her primary research areas include the neural mechanisms of speech comprehension and perception, speech recognition in noise, and first- and second-language acquisition. Her methodological expertise encompasses magnetoencephalography (MEG), scalp electroencephalography (EEG), intracranial EEG (iEEG), and functional magnetic resonance imaging (fMRI). As first or corresponding author, she has published numerous research findings in journals such as eLife, NeuroImage, Cerebral Cortex, and Biological Psychology. She also serves as principal investigator for several research grants, including the National Natural Science Foundation of China Youth Project and the Beijing Social Science Foundation Youth Project.
Lecture Content Summary
The human brain is not only capable of rapidly perceiving and comprehending external speech signals but also actively constructs internal speech representations. For instance, individuals can imagine themselves speaking or singing without producing any sound in daily life. The neural mechanisms underlying this advanced cognitive function remain unclear. To address this research question, this talk will present a series of studies utilizing high-temporal-resolution M/EEG techniques combined with a frequency-tagging paradigm to systematically investigate the neural representations of different linguistic and rhythmic structures during speech perception and imagination. The findings provide valuable insights into the cognitive neural mechanisms underlying the brain’s processing of perceived and imagined speech, expanding our understanding of the neural basis of language processing.
