ePoster

SUB-SECOND DOPAMINE FLUCTUATIONS IN HUMAN THALAMUS DURING AUDITORY-MOTOR SYNCHRONISATION

Felix Deilmannand 17 co-authors

Aarhus University

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS02-07PM-079

Presentation

Date TBA

Board: PS02-07PM-079

Poster preview

SUB-SECOND DOPAMINE FLUCTUATIONS IN HUMAN THALAMUS DURING AUDITORY-MOTOR SYNCHRONISATION poster preview

Event Information

Poster Board

PS02-07PM-079

Abstract

A core aspect of behavioural control is the ability to predict when events will occur and to coordinate actions accordingly. Whether adjusting to environmental changes or producing well-timed movements, the brain must continuously refine its internal temporal models. This capacity for temporal prediction is thought to depend on an interplay between sensory input, internal timing mechanisms, and motor control. While classically associated with reward coding and movement initiation, dopamine has also been hypothesised to play a broader role in temporal prediction. However, the function of dopamine at sub-second timescales during rhythmic behaviour in humans remains poorly understood. To investigate this question, we utilise a recently developed electrochemical approach for measuring sub-second (10 Hz) dopamine fluctuations in the thalamus in essential tremor patients undergoing awake deep brain stimulation (DBS) surgery. The patients performed an auditory-motor synchronisation task, which was designed to probe the role of dopamine in temporal prediction and the correction of movement following timing errors. Specifically, the task required patients to either passively listen or actively synchronise their tapping to auditory cues presented at varying tempos, with tempo shifts occurring after a variable number of stimuli. Preliminary results indicate that dopamine levels increase in anticipation of upcoming auditory cues during both passive listening and active synchronisation, consistent with a role for dopamine in temporal prediction that extends beyond motor control. Overall, our study demonstrates the feasibility of combining precise behavioural tasks with sub-second human neurochemical recordings, offering a novel window onto the computational functions of dopamine.

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