Biology subjects

Sachs, M. E.

Publications and source records attributed to Sachs, M. E..

2 recordsLinked to original sources

bioRxiv2023

Brain state dynamics reflect emotion transitions induced by music

Our ability to shift from one emotion to the next allows us to adapt our behaviors to a constantly-changing and often uncertain environment. Although previous studies have identified cortical and subcortical regions involved in affective responding, no studies have asked whether and how these regions track and represent transitions between different emotional states and modulate their responses based on the recent emotional context. To this end, we commissioned new musical pieces designed to systematically move participants through different emotional states during fMRI. Using a combination of data-driven (Hidden Markov Modeling) and hypothesis-driven methods, we show that spatiotemporal patterns of activation along the temporoparietal axis reflect transitions between music-evoked emotions. Furthermore, self-reported emotions and the subsequent neural response patterns were sensitive to the emotional context in which the music was heard. The findings highlight the role of temporal and parietal brain regions in not only processing low-level auditory signals, but in linking changes in these signals with our on-going, contextually-dependent emotional responses.

neuroscience↗

bioRxiv2022

Generating New Musical Preferences from Hierarchical Mapping of Predictions to Reward

Much of what we know and love about music hinges on our ability to make successful predictions, which appears to be an intrinsically rewarding process. Yet the exact process by which learned predictions become pleasurable is unclear. Here, we created novel melodies in an alternative scale different from any established musical culture, to show how musical preference is generated de novo. Across nine studies (n=1185), participants learned to like more frequently-presented items that adhered to this rapidly-learned structure, suggesting that exposure and prediction errors both affected self-report liking ratings. Learning trajectories varied by music reward sensitivity, but were similar for USA and Chinese participants. Furthermore, fMRI activity in auditory areas reflected prediction errors whereas functional connectivity between auditory and medial prefrontal regions reflected both exposure and prediction errors. Collectively, results support predictive coding as a cognitive mechanism by which new musical sounds become rewarding.

neuroscience↗