Stefan Koelsch (Kölsch)

Position

Professor

Affiliation

Research groups

Short info

Stefan Koelsch is a neuroscientist and musician who studies how the brain processes music and emotion. He seeks to translate these insights into music‑based therapies that support mental health and well‑being.
Research

I joined the University of Bergen in 2015 as Professor of Biological, Medical and Music Psychology through the national Toppforsk programme. My training spans psychology, sociology and music performance, with a PhD and Habilitation from the Max Planck Institute for Human Cognitive and Brain Sciences and postdoctoral work at Harvard Medical School. Before Bergen I held professorships at the University of Sussex and the Free University of Berlin’s “Languages of Emotion” cluster.

My research uses music as a model system to explore fundamental principles of human cognition and emotion and their underlying brain mechanisms. We map how the brain processes musical structure and how music influences emotional networks, integrating methods from neuroscience, psychology, neurology and psychiatry. Our group also translates these insights into practice, for example through the Alzheimer’s and Music Therapy (ALMUTH) trial, which evaluates music and physical activity interventions for people with Alzheimer’s disease, mild cognitive impairment and subjective cognitive decline. Other projects explore music’s role in pain reduction, stress modulation, substance use disorders and Parkinson’s disease.

Theoretically, we contribute to debates on the brain as a prediction engine. By studying how musical tension and release shape expectations and reward, we collaborate with colleagues such as Karl Friston to understand how the brain updates internal models. I have authored several books for both scientific and general audiences, including Brain and Music, Good Vibrations and Die dunkle Seite des Gehirns, and I am committed to public engagement. 

My work has contributed to establishing a new scientific framework for understanding music's profound effects on the human brain, articulated in publications in journals such as Nature Reviews Neuroscience, Neuron, Trends in Cognitive Sciences, and Nature Neuroscience.  

Our Brain and Music Group welcomes enquiries from students and collaborators interested in the neuroscience of music, emotion and health. 

If you are interested in doing a B.Sc. or M.Sc. thesis in my group please click on the tab to the right. 

More on his research group

 

Outreach

Popular science books

Good Vibrations: Unlocking the Healing Power of Music (Cambridge University Press, 2025) summarises the latest science on how music shapes our brains, emotions and health, with practical guidance for everyday life. A Norwegian edition, Gode Vibrasjoner, is also available, as well as the German edition Good Vibrations: Die heilende Kraft der Musik, and translations in several other languages. Die dunkle Seite des Gehirns (2022) explores how unconscious processes influence our thoughts and offers strategies for overcoming negative patterns. 

Talks, podcasts and media

I regularly discuss music and health in lectures, media interviews and podcasts. Recent highlights include Inside a musician's brain, a Bergen Philharmonic session with pianist Leif Ove Andsnes, an appearance in the NRK TV series Demenskoret, as well as interviews for NRK radio and Norwegian newspapers. 

Below is a selection of podcast appearances over the past 3 years. 

Publications
Academic literature review
Academic article
Article in business/trade/industry journal
Errata
Poster
Academic lecture
Lecture
Academic chapter/article/Conference paper

See a complete overview of publications in Cristin.

Selected publications

Publication list in google.scholar

Projects

Our current projects include: 

Therapeutic effects of music and physical activity on the brains of individuals with, or at risk for, Alzheimer's disease

We also carry out MRI-studies (e.g. on emotions, or on the effects of emotions on thoughts, often using music as experimental stimulus), and EEG studies (e.g. on predictive coding).