This comprehensive UK BioBank study highlights connections between cardiometabolic health, brain structure, and neurotransmitter systems, urging the joint consideration of brain and physical health in clinical settings.
Bringing sleep's fluid movement role to light, this study combines neuroimaging and pharmacological intervention to unpack distinct brain responses to sleep deprivation and intensity.
A new clinical trial shows that deep brain stimulation (DBS) improved symptoms in half of adults with treatment-resistant depression, with one-third reaching remission. Researchers found that theta-frequency brain activity in the bed nucleus of the stria terminalis (BNST) predicted how well each patient responded.
Researchers uncovered how estrogen subtly reshapes learning by strengthening dopamine reward signals in the brain. Rats learned faster when estrogen levels were high and struggled when the hormone’s activity was blocked.
This review article discusses findings from a meta-analysis of resting-state fMRI studies, which highlight common neural dysfunction across various psychiatric disorders.
A fascinating exploration into how dopamine affects animal behavior, showing that dopamine desensitizes local D2 receptors, leading to repetition-induced devaluation of behavior.
Deep learning approaches are evolving to address integration of single-cell RNA sequencing data, and this paper benchmarks multiple methods, highlighting biological preservation.
The study focuses on the neuroprotective effects of NADPH and its ability to alleviate behavior and inflammation-related issues induced by LPS in a model of neuropathology.
A study reveals that gene replacement therapy effectively normalizes certain behavioral traits in mice lacking the SYNGAP1 gene, potentially offering insights into autism treatment.
This study aims to explore the relationship between psychological well-being, depressive symptoms, and health-related quality of life among adults diagnosed with type 2 diabetes.
Researchers have created functional brain-like tissue without relying on any animal-derived materials, marking a major step toward more ethical and reproducible neurological research. By transforming a chemically inert polymer (PEG) into a porous, maze-like scaffold, scientists enabled donor brain cells to organize into active neural networks.
This article explores innovative approaches to identify compounds for treating opiate use disorder using multi-omic data integration techniques and drug repurposing databases.
This investigation into the human cerebral cortex's encoding of sensory information provides insights into population activity patterns through neuroimaging.
This paper investigates how frequency allocation affects the dynamics of neuron synchronization through simulations of Izhikevich neurons. It demonstrates that varying frequencies can lead to characteristic transitions between synchronized and unsynchronized states, adhering to beat frequency statistics.
This study compares Bayesian and Frequentist methodologies across various biological models, assessing their effectiveness under different data conditions. Results indicate that Bayesian methods excel in sparse data conditions, while Frequentist methods perform better with richer data. It provides a detailed examination of parameter recoverability and prediction accuracy.
This study investigates the neurodevelopmental trajectories related to structural and functional brain manifolds in a developmental context.