ePoster

ROLE OF NEURONAL OSCILLATIONS IN HUMAN THALAMUS AND SUBTHALAMIC NUCLEUS IN EVIDENCE INTEGRATION AND MOTOR EXECUTION DURING PERCEPTUAL DECISION-MAKING

Simon Arvinand 11 co-authors

Center for Experimental Neuroscience

FENS Forum 2026 (2026)
Barcelona, Spain
Board PS02-07PM-080

Presentation

Date TBA

Board: PS02-07PM-080

Poster preview

ROLE OF NEURONAL OSCILLATIONS IN HUMAN THALAMUS AND SUBTHALAMIC NUCLEUS IN EVIDENCE INTEGRATION AND MOTOR EXECUTION DURING PERCEPTUAL DECISION-MAKING poster preview

Event Information

Poster Board

PS02-07PM-080

Abstract

Decisions and actions engage overlapping neural machinery within the basal ganglia-thalamo-cortical circuit, which transforms sensory evidence into motor output. Within this neural circuit, rhythmic neuronal oscillations in the beta (13-30 Hz) and theta (3-8 Hz) bands are thought to regulate distinct facets of decision-making and motor control. Growing evidence indicates that beta oscillations are critical for stabilizing ongoing motor states and suppress premature actions. This effect is exaggerated in Parkinson’s disease, where excessive beta oscillations are associated with rigidity and slowness of movement; and where clinical treatments that reduce beta, such as deep brain stimulation (DBS), can cause impulsive responding. In contrast, theta oscillations are believed to signal decision conflict and guide dynamic adjustments of the amount of evidence needed for a decision, shaping the trade-off between speed and accuracy. To probe these mechanisms directly, we recorded local field potentials (LFPs) from the thalamus and the subthalamic nucleus in patients undergoing awake DBS surgery while they performed a perceptual decision-making task (14 patients, 11 bilateral surgeries, 25 datasets in total). The task was a reaction time version of the random dot motion task in which the stimulus terminated when patients made a decision, or a 4-second deadline had passed. Initial analyses indicate that the functions of beta and theta oscillations are multifaceted, with, for example, beta oscillations around motor execution being modulated by evidence strength. By linking neuronal dynamics to trial-by-trial decision and motor parameters, our work aims to bridge neurocomputational accounts of decision-making and motor control.
Abstract figure:

Alt text: The figure shows low-beta (13-20 Hz) power in (top) the thalamus and (bottom) the subthalamic nucleus aligned to the onset of (left) the stimulus and (right) the decision (right). The line colour indicates motion coherence, which was individually calibrated to yield choice accuracies of 50% (Zero), 65% (Low), 80% (Medium) and 95% (High). The figure shows that the canonical dip-and-rebound beta pattern around motor execution is also modulated by the strength of evidence for the decision. Data are represented as mean ± standard error of the mean across datasets.

Recommended posters

Cookies

We use essential cookies to run the site. Analytics cookies are optional and help us improve World Wide. Learn more.