1541 papers
Neuroscience explores the intricate machinery of the brain and nervous system, seeking to understand how we think, feel, and move. From the microscopic dance of individual neurons to the complex networks that shape our memories and behaviors, this field peels back the layers of our biological selves to reveal the origins of consciousness and disease.
At Gist.Science, we bring these discoveries directly from bioRxiv, the leading preprint server for biological sciences, to a broader audience. We process every new neuroscience preprint as it is uploaded, transforming dense academic manuscripts into clear, plain-language explanations alongside detailed technical summaries. This ensures that both curious readers and specialists can stay current with the latest breakthroughs before they are formally published.
Below are the latest neuroscience papers we have processed from bioRxiv, offering fresh insights into the workings of the mind.
This study demonstrates that a maternal high-fat diet induces sex-specific glial dysregulation in the peripheral retinas of offspring, characterized by altered microglial phagocytic capacity in males and disrupted estrous cycle-dependent glial reactivity in females.
This study demonstrates that the mouse anterior cingulate cortex maintains stable object location representations at the population level through emergent network dynamics, despite exhibiting volatile and behaviorally modulated turnover in individual neuron activity across repeated exposures.
This study utilizes isogenic cerebral organoids to demonstrate that the HNRNPH2-R114W mutation drives pervasive, junction-centered RNA splicing rewiring in human cortical development, directly disrupting RNA engagement and altering key neuronal programs independent of major cell composition shifts.
By analyzing a large-scale dataset of 35,120 individuals from birth to age 100, this study provides the most comprehensive characterization to date of white matter asymmetry, revealing that lateralization patterns are widespread, vary by structural feature and tract type, and follow unique developmental trajectories that generally become more pronounced with age.
This paper introduces a novel computational framework based on drift-diffusion processes with multi-state switching to resolve inconsistencies in existing replay analysis, enabling precise characterization of hippocampal sharp-wave ripple dynamics and providing new insights into replay speed, trajectory patterns, and the existence of preplay events.
This study demonstrates that astrocyte-derived cholesterol acts as a critical modulator of synaptic strength by fine-tuning the balance between uni- and multi-vesicular release, the spatial organization of vesicle release sites, and the kinetics of fast versus ultra-fast endocytosis in hippocampal synapses.
Pupil-DLC is an open-source, DeepLabCut-based deep learning pipeline that enables scalable, markerless, and robust tracking of pupil dynamics across diverse species and consciousness states, outperforming existing methods in accuracy while offering flexible, reproducible analysis for both mouse and human pupillometry.
This study demonstrates that while phosphatidylinositol 4-kinase alpha is dispensable for the embryonic development and migration of GnRH neurons, its activity is essential for their postnatal survival, as its specific knockout leads to the prepubertal death of these neurons and subsequent infertility in mice.
This study establishes a standardized vapor inhalation protocol to demonstrate that THC readily crosses the placental barrier in both prairie voles and rats, revealing species-specific distribution patterns and confirming the utility of voles as a translational model for investigating the developmental consequences of prenatal cannabis exposure.
Using sub-millimeter layer-resolved 7T fMRI, this study establishes that layer-specific functional gradients and laminar dissimilarity indices bridge cortical microstructure, large-scale network organization, and hierarchical feedback processing in the human brain.