The field of cognitive neurosciences of music focuses on understanding the complex relationship between music, brain, and behavior. I will introduce the naturalistic music listening paradigm in brainimaging which is a combination of functional Magnetic Resonance Imaging (fMRI), Music Information Retrieval (MIR), and multivariate analysis. In addition, I will present ongoing neuroscience-related work at IIIT that focuses on how individual differences (personality, empathy, and preferences) modulate brain connectivity while listening to music. With the field of neuroscience moving towards modeling dynamic functional connectivity, I will also showcase our latest results on how musical beat dynamically modulates the functional connectome. Empirical evidence has begun to emerge describing how musical engagement relates to ill-health (including internalized symptomatology and depression) as well as externalized symptoms and antisocial behaviors. I will also present results of our recent studies that have used music listening strategies as a tool to identify underlying behavioural problems (depression in this case) and ongoing projects that involve machine learning and big data analytics.
Dr. Vinoo Alluri is an Assistant Professor in the Cognitive Science Lab at the International Institute of Information Technology (IIIT-H), Hyderabad. She has a background in engineering (B.E, Electronics and Communication) with a focus on music technology (M.Sc, Music Engineering Technology) in addition to a PhD in Musicology. She also has a background in Western Classical Music (Violin and Piano). Her main research interests lie in the fields of Music Cognition and Computational Neuroscience. Her work has primarily revolved around investigating music processing in the brain in the novel naturalistic paradigm, which she introduced as part of her PhD and has hence focused on developing, validating, and improving methods concerning the same. The method is based on functional Magnetic Resonance Imaging (fMRI), Music Information Retrieval (MIR), and multivariate analysis, and has recently been acknowledged as a new trend in the field of neuromusicology. She has successfully published in international journals such as Neuroimage, Psychomusicology: Music, Mind and Brain, Cortex, Human Brain Mapping, Frontiers in Human Neuroscience, Journal of Neuroscience Methods, and Music Perception, among others. In neuroscience, her current focus is to investigate how individual differences (personality, empathy, and preferences) modulate brain connectivity while listening to music. On the behavioral front, she is interested in understanding the potential role of music as a tool in assessing depressive and addictive tendencies.