Research

Speech and music are two types of auditory signals of great significance to our human beings. Speech is a communication system specializing in the transmission of information, while music is a communication system specializing in the expression of emotion. We employ a combination of psychophysical testing, physiological recording (EEG and MEG), brain imaging (multi-modal MRI) and non-invasive neuromodulation techniques (TMS and tES) to study how human brain understands speech and enjoys music, with particular interest in:

1) The neural mechanisms (e.g., multisensory integration, predictive coding) underlying speech perception and comprehension, especially in adverse listening circumstances.

2) The life-span development of speech perception and comprehension.

3) The neural mechanisms underlying musical structure, emotion and reward processing.

4) The musical training experience-related brain plasticity.

5) The brain organizational principles governing language functions and more.

Our work is supported by multiple agencies including the National Key Research and Development Program of China, the National Natural Science Fund for Outstanding Young Scholars and the Strategic Priority Research Program of Chinese Academy of Sciences.

Principal Investigator (PI)

Du Yi

Du Yi(杜忆)

2016-present Research Professor at the Institute of Psychology, Chinese Academy of Sciences. China.

2015-2016 Post-doctoral Fellow at Montreal Neurological Institute, McGill University. Canada.

2012-2015 Post-doctoral Fellow at Rotman Research Institute, University of Toronto. Canada.

2005-2011 Ph.D. in Psychology at Peking University. China.

2000-2005 Bachelor at Peking University Health Science Center. China.

Research Interests: Investigating the brain mechanisms of human auditory speech and music cognition using psychophysical methods, various brain imaging techniques (including fMRI, MEG, EEG), and non-invasive neural modulation techniques (tES, TMS). The research focuses include: auditory processing and multisensory integration, speech perception and comprehension, lifespan development and plasticity of speech cognition, and music cognition.

Our Team

Meet our dedicated team members who work tirelessly to advance our research and contribute to the scientific community.

Wang Xiuyi

Wang Xiuyi (王秀祎)

Assistant Research Fellow

Research Interests: I investigate the functional differentiation of subnetworks within multiple demand network and default mode network and how their functional differentiation emerges across the brain.

Zhao Wanying

Zhao Wanying (赵婉莹)

Assistant Research Fellow

Research Interests: The Influence of Gestural Actions on Verbal Information and Its Brain Mechanism of Integration; Compensatory Mechanisms of Gestural Actions for Speech Disorders; The Mechanism of Speech Generation and Development under the Theory of Embodied Cognition.

You Siqi

You Siqi (尤思琦)

PostDoc Fellow

Research Interests: Research Interests: My research is dedicated to understanding the therapeutic effects of music and its cognitive neural mechanisms, with a specific focus on how music modulates the multi-system mechanisms of acute stress responses. Utilizing MRI for neuroimaging, physiological multi-channel recording for assessing physiological responses, cortisol analysis for hormonal changes, and music parameter analysis for understanding musical characteristics, I seek to delineate the complex interplay between musical interventions and the body’s stress-regulating systems.

Chen Hou

Chen Hou (陈后)

Lab Manager

Jiang Xintong

Jiang Xintong (姜欣桐)

PhD Student

Research Interests: My principal research interest is centered around the electrophysiological, neuroimaging, and neurometabolic mechanisms underlying music reward processing. At present, I predominantly employ multi-channel physiology, EEG, fMRI, and fMRS techniques to explore the reward system, autonomic nervous responses, and neurotransmitter metabolic mechanisms that are triggered by the chilling music. Moreover, I also direct my attention to the neural mechanism of music reward prediction error encoded by dopamine.

Lu Baihan

Lyu Baihan (吕柏翰)

PhD Student

Research Interests: My research primarily focuses on the predictive coding mechanisms underlying speech comprehension. I integrate multiple neuroimaging techniques (fMRI and MEG) and state-of-the-art language models, to examine how top-down predictions interact with bottom-up sensory input.

Wu Guowei

Wu Guowei (吴国伟)

PhD Student

Research Interests: My research endeavors are centered on uncovering the organizational frameworks and segmentation nuances of language functional brain networks, alongside investigating the intricate process of cross-modal semantic alignment among multimodal objects.

Yang Jiawang

Yang Jiawang (杨嘉望)

PhD Student

Research Interests:I primarily investigate audiovisual integration mechanisms using various psychophysical methods (i.e., EEG, MEG) and information theoretical approaches. There is significant heterogeneity in audiovisual integration, influenced by factors such as attention, semantic state, and the type of visual stimuli (e.g., gestures or lip movements). My aim is to elucidate these complex integration processes and develop a novel brain-inspired model that simulates audiovisual integration.

Hua Shan

Hua Shan (华山)

Master Student

Research Interests: my research interest mainly focus on using MEG/EEG, eyemovement recoding to explore the musical rhythmic perception, including hierarchical rhythmic structure in music, sensorimotor synchronization during listening and pleasurable feelings induced by rhythm.

Zhu Jinyao

Zhu Jinyao (朱瑾瑶)

Master Student

Educational Background: September 2023 - Present Institute of Psychology, Chinese Academy of Sciences / Sino-Danish College Major: Cognitive Neuroscience September 2019 - July 2023 Shaanxi Normal University Major: Psychology Research Focus: Cognitive Neural Mechanisms of Conscious and Unconscious Visual Temporal Cues in Enhancing Speech Recognition in Noise

Li Zhouyi

Li Zhouyi (李周一)

Master Student

My research interest falls on gesture-speech integration. My favorite pop band is Knights. I'm really looking forward to exploring the wonders in this field with all of you together.

Our Graduates

Meet our accomplished graduates who have contributed to our research and moved on to new endeavors.

Graduate 1

Xinglidongsheng (邢立冬生)

Master Student

Brief description or current position

Graduate 2

Li Xiang (李想)

Master Student

Higher Education Press

Graduate 3

Zhou Xiaoqian (周小倩)

Master Student

Yali High School

Graduate 4

Zhang Lei (张磊)

Phd Student

Postdoctoral Fellow at the University of Toronto

Graduate 5

Liang Baishen (梁柏燊)

Phd Student

Postdoctoral Associate at Duke University

Graduate 6

Li Xiaonan (李晓楠)

Phd Student

Graduate 6

Wu Yiyang (吴伊扬)

Phd Student

Publications

Speech perception and language comprehension:

[1]. Liang, Baishen, Li, Yanchang, Zhao, Wanying, & Du, Yi. (2023). Bilateral human laryngeal motor cortex in perceptual decision of lexical tone and voicing of consonant. NATURE COMMUNICATIONS, 14(1), 15.

[2]. Zhang, Lei, Wang, Xiuyi, Alain, Claude, & Du, Yi. (2023). Successful aging of musicians: Preservation of sensorimotor regions aids audiovisual speech-in-noise perception. SCIENCE ADVANCES, 9(17), 11.

[3]. Lei Zhang, & Yi Du. (2022). Lip movements enhance speech representations and effective connectivity in auditory dorsal stream. Neuroimage, 257, 119311.

[4]. Zhao, W.Y., Li, Y.C., Du, Y.* (2021). TMS reveals dynamic interaction between inferior frontal gyrus and posterior middle temporal gyrus in gesture-speech semantic integration. Journal of Neuroscience, 41,10356-10364.

[5]. Liang, B., Du, Y.* (2018). The functional neuroanatomy of lexical tone perception: An activation likelihood estimation meta-analysis. Frontiers in Neuroscience, 12, 495.

[6]. Alain, C.*, Du, Y., Bernstein, L., Barten, T., Banai, K. (2018). Listening under difficult conditions: An activation likelihood estimation meta-analysis. Human Brain Mapping, 39, 2695-2709.

[7]. Du, Y.*, Buchsbaum, B., Grady, C., Alain, C.* (2016). Increased activity in frontal motor cortex compensates impaired speech perception in older adults. Nature Communications, 7, 12241.

[8]. Du, Y., He, Y., Arnott, S.R., Ross, B., Wu, X.H., Li, L.*, Alain, C.* (2015). Rapid tuning of auditory “what” and “where” pathways by training. Cerebral Cortex, 25, 496-506.

[9]. Du, Y., Buchsbaum, B., Grady, C., Alain, C.* (2014). Noise differentially impacts phoneme representations in the auditory and speech motor systems. Proceedings of the National Academy of Sciences of the United States of America, 111, 7126-7131.

[10]. Du, Y., He, Y., Ross, B., Bardouille, T., Wu, X.H., Li, L.*, Alain, C.* (2011). Human auditory cortex activity shows additive effects of spectral and spatial cues during speech segregation. Cerebral Cortex, 21, 698-707.

Musical processing and training plasticity:

[1]. Jin, X.H., Zhang, L., Wu, G.W., Wang, X.Y., Du, Y*. Compensation or preservation? Different roles of functional lateralization in speech perception of older non-musicians and musicians. Neuroscience Bulletin (2024).doi: https://doi.org/10.1007/s12264-024-01234-x

[2]. Zhang, X.Y., Li, J.J.*, Du, Y. (2022). Melodic intonation therapy on non-fluent aphasia after stroke: A systematic review and analysis on clinical trials. Frontiers in Neuroscience, 15, 24.

[3]. Du, Y.*, Zatorre, R.J. (2017). Musical training sharpens and bonds ears and tongue to hear speech better. Proceedings of the National Academy of Sciences of the United States of America, 114, 13579-13584.

[4]. Zhang, L., Fu, X.Y., Luo, D., Xing, L.S.D., Du, Y.* (2021). Musical experience offsets age-related decline in understanding speech-in-noise: Type of training does not matter, working memory is the key. Ear and Hearing, 42, 258-270.

[5]. Li, X., Zatorre, R.J., Du, Y.* (2021). The Microstructural plasticity of the arcuate fasciculus undergirds improved speech in noise perception in musicians. Cerebral Cortex, 31, 3975-3985.

Brain Topography and neural plasticity:

[1]. Wu, G., Cui, Z., Wang, X.*, & Du, Y.* (2024). Unveiling the core functional networks of cognition: An ontology-guided machine learning approach. NeuroImage, 298, 120804. https://doi.org/https://doi.org/10.1016/j.neuroimage.2024.120804

[2]. Wang, X.*, Krieger-Redwood, K., Cui, Y. Yi Du* & Elizabeth Jefferies*. (2024). Macroscale brain states support the control of semantic cognition. Commun Biol 7, 926. https://doi.org/10.1038/s42003-024-06630-7

[3]. Wang, X.*, Krieger-Redwood, K., Lyu, B., Lowndes, R., Wu, G., Souter, N. E., ... & Jefferies, E*. (2024). The Brain’s Topographical Organization Shapes Dynamic Interaction Patterns That Support Flexible Behavior Based on Rules and Long-Term Knowledge. Journal of Neuroscience, 44(22).

[4]. Zhang, G., Xu, Y., [Wang, X]., Li, J., Shi, W., Bi, Y., & Lin, N. (2023). A social-semantic working-memory account for two canonical language areas. Nature Human Behaviour, 7(11), 1980-1997..

[5]. Wang, X., Gao, Z., Smallwood, J., Jefferies, E. (2021). Both default mode and multiple-demand regions represent goal information. Journal of Neuroscience. 41 (16), 3679-3691.

[6]. Jefferies, E., Wang, X. (2021). Semantic cognition: semantic memory and semantic control. Oxford research encyclopedia of psychology.

[7]. Wang, X., Margulies, D., Smallwood, J., Jefferies, E. (2020), A gradient from long-term memory to novel cognition: transitions through default mode to executive cortex. Neuroimage, 220, 117074

[8]. Wang, X., Bernhardt, B. C., Karapanagiotidis, T., De Caso, I., Alam, T. R. D. J. G., Cotter, Z., ... & Jefferies, E. (2018). The structural basis of semantic control: Evidence from individual differences in cortical thickness. NeuroImage, 181, 480-489.

Auditory processing in animal models:

[1]. Du, Y., Wang, Q., Zhang, Y., Wu, X.H., Li, L.* (2012). Perceived target-masker separation unmasks responses of lateral amygdala to the emotionally conditioned target sounds in awake rats. Neuroscience, 225, 249-257.

[2]. Du, Y., Wu, X.H., Li, L.* (2011). Differentially organized top-down modulation of prepulse inhibition of startle. Journal of Neuroscience, 31, 13644-13653.

[3]. Du, Y., Kong, L.Z., Wang, Q., Wu, X.H., Li, L.* (2011). Auditory frequency-following response: A neurophysiological measure for studying the “cocktail-party problem”. Neuroscience and Biobehavioral Reviews, 35, 2046-2057.

[4]. Du, Y., Wu, X.H., Li, L.* (2010). Emotional learning enhances stimulus-specific top-down modulation of sensorimotor gating in socially reared rats but not isolation-reared rats. Behavioural Brain Research, 206, 192-201.

[5]. Li, L.*, Du, Y., Li, N.X., Wu, X.H., Wu, Y.H. (2009). Top-down modulation of prepulse inhibition of the startle reflex in humans and rats. Neuroscience and Biobehavioral Reviews, 33, 1157-1167.

[6]. Du, Y., Li, J.Y., Wu, X.H., Li, L.* (2009). Precedence effect-induced enhancement of prepulse inhibition in socially reared but not isolation-reared rats. Cognitive, Affective, and Behavioral Neuroscience, 9, 44-58.

[7]. Du, Y., Ma, T.F., Wang, Q., Wu, X.H., Li, L.* (2009). Two crossed axonal projections contribute to binaural unmasking of frequency-following responses in rat inferior colliculus. European Journal of Neuroscience, 30, 1779-1789.

[8]. Du, Y., Huang, Q., Wu, X.H., Galbraith, G.C., Li, L.* (2009). Binaural unmasking of frequency-following responses in rat amygdala. Journal of Neurophysiology, 101, 1647-1659.

[9]. Ping, J.L., Li, N.X., Du, Y., Wu, X.H., Li, L., Galbraith, G. (2007). Auditory evoked responses in the rat: transverse subdermal electrodes register before cochlear nucleus and do not reflect later inferior colliculus activity. Journal of Neuroscience Methods, 161, 11-16.

Contact Us

Please contact us for applying Phd program or Post Doc program

Address:

LASM Lab
Institute of Psychology, Chinese Academy of Sciences
Beijing, China

Phone:

XXXXXXXXXXXXX

Email:

duyi@psych.ac.cn