1825 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 while the loss of FMRP reduces the levels of stalled ribosomes on specific mRNAs and impairs the reactivation of neuronal RNA granules containing stalled ribosomes, it does not determine the specific sites where ribosomes stall or alter ribosome structure.
This study identifies a novel, sexually dimorphic population of intrinsic CRF-expressing neurons in the mouse lateral habenula that modulate threat-induced defensive strategies through distinct cellular and synaptic mechanisms in males and females.
This paper identifies significant inaccuracies in the existing spatial coordinates of the Allen Human Brain Atlas, provides a refined coordinate set to correct these errors, and demonstrates that using the inaccurate coordinates can lead to drastically different and potentially compromised gene expression findings in neuroimaging studies.
Using a closed-loop holographic optogenetics system, this study demonstrates that specific ensembles of both D1- and D2-medium spiny neurons in the dorsolateral striatum are necessary and sufficient to control granular forelimb actions, such as distinct push versus pull force patterns, providing a new framework for understanding specific movement impairments in disorders like Huntington's disease and dystonia.
By integrating Motion Sequencing (MoSeq) with a novel analysis pipeline, this study reveals that chronically epileptic mice exhibit fragile, dispersed behavioral networks and persistent racing behaviors, which are partially rescued by the anti-seizure medication carbamazepine, thereby establishing a framework for identifying clinically relevant phenotypes in epilepsy models.
By applying geometric analysis and neural network modeling to pituitary cell populations, this study reveals that intrinsic spontaneous activity drives directed coupling and transient bistability, forming a self-sustained oscillatory system essential for coordinating hormone secretion.
By applying a hierarchical generative model (PV-RNN) to multimodal physiological data, this study reveals that interoceptive attention enhances the precision of latent brain-body interaction dynamics, a neural signature that correlates with adaptive body control and inversely with psychiatric vulnerabilities like anxiety and rumination.
This study demonstrates that in juvenile myoclonic epilepsy, reduced general mental ability is linked to increased thermodynamic rigidity and lower noise in resting-state brain network dynamics, suggesting that both intrinsic circuit abnormalities and pharmacological stabilization may constrain the brain's exploration of functional states.
This study demonstrates that treating the brain with the highly attenuated PVSRIPO virus safely reprograms microglia via a non-cytopathogenic viral RNA replication mechanism, thereby enhancing their ability to clear neurotoxic amyloid-beta debris and treat gliomas without triggering harmful inflammation.
This paper introduces a novel voxel-wise O-information framework that bridges high-order information theory with standard neuroimaging pipelines to capture complex multivariate brain interactions, demonstrating its utility in revealing age-related reductions in redundancy within the default mode network.