Biology subjects

Sibener, L. J.

Publications and source records attributed to Sibener, L. J..

3 recordsLinked to original sources

bioRxiv2026

Lipid Activation of a Thalamic GPCR Extends Working Memory Time-scales

Working memory capacity is poorly understood. The ability to control and extend working memory time-scales provides the potential to alleviate cognitive decline in disease and aging. Through an unbiased genetic search, we previously identified a thalamic orphan receptor Gpr12 as a potent enhancer of working memory, however its activation mechanism remains poorly understood. Here, we describe the CryoEM structure of Gpr12, revealing a lipidic regulatory site enabling an activated signaling state. By surveying the native lipidic environment in mouse thalamus we identified a class of 20 carbon:4 double bond fatty acid eicosanoids as potential ligands. Cell-based assays confirmed that the endogenous cannabinoid anandamide (AEA), but not other closely related family members or derivatives, robustly activates Gpr12. In vivo imaging during behavior revealed that Gpr12 activation produces a striking molecular state - the persistent suppression of cAMP in thalamus that tracks the duration of memory maintenance. Notably, genetic or pharmacological manipulations that enhance the AEA-Gpr12 signaling axis are sufficient to prolong cAMP suppression and extend the temporal window of memory maintenance. Furthermore, AEA-mediated cAMP suppressions in thalamus support sustained neural activity in PFC, specifically during memory maintenance. Thus, while cannabinoids often impair memory, here we identify an AEA-Gpr12 signaling axis in thalamus that enhances memory, including in primates. These findings identify a lipidic signaling mechanism in thalamus that is sufficient to control and extend working memory duration.

neuroscience↗

bioRxiv2023

Dissociable roles of thalamic nuclei in the refinement of reaches to spatial targets

Reaches are complex movements that are critical for survival, and encompass the control of different aspects such as direction, speed, and endpoint precision. Complex movements have been postulated to be learned and controlled through distributed motor networks, of which the thalamus is a highly connected node. Still, the role of different thalamic circuits in learning and controlling specific aspects of reaches has not been investigated. We report dissociable roles of two distinct thalamic nuclei - the parafascicular (Pf) and ventroanterior/ventrolateral (VAL) nuclei - in the refinement of spatial target reaches in mice. Using 2-photon calcium imaging in a head-fixed joystick task where mice learned to reach to a target in space, we found that glutamatergic neurons in both areas were most active during reaches early in learning. Reach-related activity in both areas decreased late in learning, as movement direction was refined and reaches increased in accuracy. Furthermore, the population dynamics of Pf, but not VAL, covaried in different subspaces in early and late learning, but eventually stabilized in late learning. The neural activity in Pf, but not VAL, encoded the direction of reaches in early but not late learning. Accordingly, bilateral lesions of Pf before, but not after learning, strongly and specifically impaired the refinement of reach direction. VAL lesions did not impact direction refinement, but instead resulted in increased speed and target overshoot. Our findings provide new evidence that the thalamus is a critical motor node in the learning and control of reaching movements, with specific subnuclei controlling distinct aspects of the reach early in learning.

neuroscience↗

bioRxiv2023

Exploration biases how forelimb reaches to a spatial target are learned

The brain can learn to generate actions, such as reaching to a target, using different movement strategies. Understanding how different variables bias which strategies are learned to produce such a reach is important for our understanding of the neural bases of movement. Here we introduce a novel spatial forelimb target task in which perched head-fixed mice learn to reach to a circular target area from a set start position using a joystick. These reaches can be achieved by learning to move into a specific direction or to a specific endpoint location. We find that mice gradually learn to successfully reach the covert target. With time, they refine their initially exploratory complex joystick trajectories into controlled targeted reaches. The execution of these controlled reaches depends on the sensorimotor cortex. Using a probe test with shifting start positions, we show that individual mice learned to use strategies biased to either direction or endpoint-based movements. The degree of endpoint learning bias was correlated with the spatial directional variability with which the workspace was explored early in training. Furthermore, we demonstrate that reinforcement learning model agents exhibit a similar correlation between directional variability during training and learned strategy. These results provide evidence that individual exploratory behavior during training biases the control strategies that mice use to perform forelimb covert target reaches.

neuroscience↗