In vivo Calcium Extrusion from Accumbal Astrocytes Reduces Anxiety-like Behaviors but Increases Compulsive-like Responses and Compulsive ethanol drinking in Mice.

The ventral striatum is crucially involved in reward processing. The present study investigates the behavioral effects of astrocyte-specific calcium extrusion virus "CalEx" on perseverative responses in the operant five-choice serial reaction time task and ethanol-conditioned place preference. Mice were injected with CalEx via the GfaABCD promoter to extrude cytosolic calcium from astrocytes within the ventral striatum.

Complementary cognitive roles for D2-MSNs and D1-MSNs during interval timing.

The role of striatal pathways in cognitive processing is unclear. We studied dorsomedial striatal cognitive processing during interval timing, an elementary cognitive task that requires mice to estimate intervals of several seconds and involves working memory for temporal rules as well as attention to the passage of time. We harnessed optogenetic tagging to record from striatal D2-dopamine receptor-expressing medium spiny neurons (D2-MSNs) in the indirect pathway and from D1-dopamine receptor-expressing MSNs (D1-MSNs) in the direct pathway.

Incongruent virtual reality cycling exercise demonstrates a role of perceived effort in cardiovascular control.

In this study we have used a highly immersive virtual reality (VR) cycling environment where incongruence between virtual hill gradient (created by visual gradient and bike tilt angle) and actual workload (pedalling resistance) can experimentally manipulate perception of exercise effort. This therefore may provide a method to examine the role of effort perception in cardiorespiratory control during exercise. Twelve healthy untrained participants (7 men, age 26 ± 5 years) were studied during five visits.

BAE-ViT: An Efficient Multimodal Vision Transformer for Bone Age Estimation.

This research introduces BAE-ViT, a specialized vision transformer model developed for bone age estimation (BAE). This model is designed to efficiently merge image and sex data, a capability not present in traditional convolutional neural networks (CNNs). BAE-ViT employs a novel data fusion method to facilitate detailed interactions between visual and non-visual data by tokenizing non-visual information and concatenating all tokens (visual or non-visual) as the input to the model.