1829 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 selectively inhibiting basolateral amygdala neurons projecting to the ventromedial prefrontal cortex promotes avoidance behaviors in mice, revealing a paradoxical role for this specific pathway in facilitating safety signals and highlighting pathway- or subregion-dependent mechanisms in exploration-avoidance regulation.
This AMP-AD pilot study reveals that APOE4 genotype is associated with a modest but significant reduction in cortical VEGFR2 (KDR) transcript levels independent of endothelial cell abundance and neuropathological burden, suggesting a specific APOE4-driven mechanism for vascular dysfunction in Alzheimer's disease.
By combining high-throughput behavioral assays with drift-diffusion modeling in larval zebrafish, this study reveals that evidence integration dynamics mature during development and are selectively disrupted by mutations associated with human epilepsy and schizophrenia, demonstrating a scalable approach to studying the algorithmic basis of sensorimotor decision-making in health and disease.
Using fMRI and a 3D virtual reality task, this study reveals that the orbitofrontal cortex integrates egocentric agent layouts and landmark-based environmental cues to construct allocentric spatial schemas, which are subsequently utilized by the anterior hippocampus for self-localization.
This study demonstrates that in rhesus macaques, the majority of locus coeruleus neurons are tightly coupled to saccadic eye movements during perceptual decision making but remain independent of sensory processing and behavioral accuracy, suggesting a specific role in facilitating motor preparation and execution rather than perceptual evaluation.
By applying Functional Connectome Harmonics and Leading Eigenvector Dynamics Analysis to resting-state fMRI data from over 11,000 preadolescent children, this study establishes a large-scale spatiotemporal reference framework that characterizes the hierarchical spatial gradients and recurrent dynamic states underpinning functional brain maturation during this critical developmental window.
This study demonstrates that oxytocin is essential for both the acquisition and the development of communication-based strategies in cooperative behavior among rats, highlighting its critical role in the neural mechanisms underlying social learning and offering potential insights for treating social deficits.
This paper introduces a control parameter and dynamical mean-field theory to systematically explore the spectrum between random and structured recurrent connectivity in task-trained neural networks, revealing that optimal biological function arises from a balance where learned structure coexists with random heterogeneity to produce generalizable, task-relevant dynamics.
This paper presents and validates a protocol for aldehyde-based cryopreservation of whole fixed brains using graded immersion in cryoprotectants and subzero storage, which preserves cellular architecture and antigenicity while offering resilience against freezer failures, provided that sufficient time (approximately 10 months for human brains) is allowed for cryoprotectant equilibration to prevent ice crystal damage.
This paper introduces Multimodal Subspace Independent Vector Analysis (MSIVA), a novel methodology that effectively captures complex, multi-dimensional latent relationships between brain structure and function by modeling flexible, subject-specific subspaces, thereby outperforming traditional approaches in identifying robust biomarkers for age, sex, schizophrenia, and cognitive traits.