1287 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 reveals that activity-dependent formation and autophagic clearance of lipid droplets in neuronal compartments are essential mechanisms for maintaining synaptic integrity and proper motor function.
This study identifies the LMO7-BAG5 complex as a critical inhibitor of tau degradation, demonstrating that disrupting this interaction via genetic knockdown, a designed peptide, or repurposed drugs like Telmisartan and MPA-2 effectively reduces pathogenic tau and rescues memory deficits in Alzheimer's disease models.
Using the EFAD mouse model, this study demonstrates that anti-amyloid immunotherapy triggers APOE4-specific increases in glial reactivity, perivascular immune activation, and ARIA-like microhemorrhages due to unique vascular susceptibility, highlighting critical immunological targets for mitigating treatment risks in APOE4 carriers.
This study reveals that neuroticism increases the risk of Alzheimer's disease and cognitive decline through the dysregulation of excitatory neurons, specifically involving the downregulation of ADRA1B and LY6E-DT and the enrichment of the Exc.12 subpopulation, which mediates 12.2% of the trait's total effect on the disease.
This large-scale benchmark reveals that while dynamic functional connectivity (dFC) often fails to reliably track cognitive engagement across diverse datasets, its decoding success is systematically determined by the interplay of experimental design (specifically block length and transition frequency), data quality, and the choice of dFC method rather than the method's features alone.
This paper presents a computationally efficient, reduced multicompartment model of the hippocampal CA1 area that reproduces theta-nested gamma oscillations to systematically investigate how extracellular stimulation parameters and electrode configurations modulate network dynamics, revealing that excitatory responses are primarily driven by Schaffer collateral recruitment.
Using fMRI and a novel inference task, this study reveals that the human brain flexibly adapts to changing latent hierarchies by encoding stable relational knowledge in the medial orbitofrontal cortex while dynamically recruiting the hippocampus and anterior medial frontal cortex to process and integrate structural changes, with the strength of these early neural signals predicting individual behavioral adaptation.
This study demonstrates that the tendency to make risky versus safe decisions in rats is determined by whether the anterior insular cortex and prelimbic cortex process information in parallel or serially, as functionally disconnecting these regions improves decision-making in risky individuals by enhancing loss-guided adaptation.
Concurrent fMRI and single-unit recordings in macaques reveal that resting-state functional connectivity primarily reflects the activity of putative inhibitory interneurons, particularly a specific subclass with brain-wide correlations, rather than the mixed signals of excitatory projection neurons.
This study demonstrates that maternal experience, facilitated by oxytocin, refines the brain-wide neural representation of infant cries into a more efficient and specialized network, thereby supporting adaptive caregiving behaviors.