Cognitive Neuroscience of Music
이윤상
Research Professor · Seoul National University Brain Imaging Center
Computational Clinical Science Lab
I study how music influences human cognition and physiological responses, with particular attention to preventing its potential from being overstated or reduced to pseudoscience. Drawing on neuroimaging and behavioral science, I explore for whom, under what conditions, and to what extent music and sound may be useful. My aim is to translate meaningful possibilities into real-world value that people can trust.
I am a cognitive neuroscientist studying how music, rhythm, and sound shape human cognition, communication, and physiological responses. My work connects fundamental questions about the brain with the development of evidence-informed sound applications that may support rehabilitation, cognitive and emotional health, and everyday functioning. I am now particularly interested in translating carefully tested principles of sound into tools and environments that can be evaluated in real-world settings.
I studied biology at Yonsei University, then trained at Dartmouth (Ph.D., Cognitive Neuroscience) and the University of Pennsylvania. I then led the SLAM (Speech, Language, and Music) Lab for nine years at The Ohio State University and The University of Texas at Dallas, before returning to Seoul in 2025. Along the way my lab has been supported by the NIH, the NSF, the Parkinson's Foundation, and industry partners in the US, Korea, and Japan.
I played guitar in bands from my university years, and after graduating worked as a music director at an advertising-music studio. Those years are not incidental to the research — they are most of the reason for it.
If rhythm and language share resources, rhythm can be a route back into language. I test rhythm video-game therapy for aphasia and drum-and-dance programs for Parkinson's disease, and measure what changes in the brain when they work.
Binaural beats and immersive 3D audio as non-invasive neuromodulation — for sentence comprehension in healthy listeners, for children with developmental language disorder, and for patients with mild cognitive impairment or Alzheimer's disease.
How a child handles rhythm and speech sound is bound up with how that child learns to read. In children with dyslexia, I establish what auditory and rhythmic processing contribute to reading difficulty, and help design assessments that measure phonological, auditory, visual, and cognitive components together. Neuroimaging is how I measure the effects of rhythm-based training in these children.
Older musicians do not hear better, yet they follow speech in noise better than their peers. Since hearing loss raises dementia risk, the question is whether musical experience builds enough cognitive reserve to offset that cost. I use neuroimaging to look for the traces musical experience leaves in the aging brain, and to test whether training can still produce change late in life.
Full list on Google Scholar. Book chapters in the Oxford Handbook on Music and the Brain (2019) and Music Therapy & Music-Based Interventions in Neurology (Springer Nature, 2024).
I'm open to collaborations on auditory neuroscience, music-based intervention, and clinical translation of sound therapy — and to speaking invitations. Students and postdocs interested in the lab are welcome to write.