1795 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 introduces a biologically plausible computational model that fits individual TMS-induced motor-evoked potential waveforms, revealing that spinal recurrent inhibition is critical for reproducing their temporal dynamics and enabling the extraction of detailed, subject-specific parameters about the corticospinal pathway's integrity.
This study utilizes 7-tesla fMRI to demonstrate that breathlessness catastrophising in post-COVID patients is driven by distinct alterations in brain connectivity, specifically weakened interoceptive signaling between the brainstem and sensory cortex alongside heightened visceromotor threat processing, rather than anxiety-driven misperception alone.
This study demonstrates that the human multiple-demand network actively encodes content-sensitive linguistic representations during naturalistic comprehension, challenging the view of these regions as merely domain-general amplifiers of cognitive effort and revealing their dynamic, complementary role alongside specialized language areas.
This study introduces UNC-ELF, a reproducible, fine-grained functional parcellation of the human brain from birth to six years, revealing that early cognitive development relies on a shared but nonuniform whole-brain scaffold characterized by division-specific organizational modes and refined through heterogeneous, nonlinear connectivity trajectories.
This study reveals that while excitatory long-term potentiation (LTP) in adult mouse hippocampus relies on non-postsynaptic protein synthesis, concurrent inhibitory LTP requires a distinct postsynaptic translational mechanism for its maintenance, as blocking local translation converts inhibitory potentiation into depression.
This study demonstrates that Nrf2 protects against traumatic brain injury by suppressing oxidative stress and ICAM-1-mediated neutrophil extracellular trap formation, thereby preserving blood-brain barrier integrity and improving functional recovery.
This study utilized a rigorous within-subject crossover design with serial plasma sampling and finite element modeling to demonstrate that controlled, non-concussive football heading does not acutely elevate key brain injury biomarkers (GFAP and BD-tau) or alter clinical measures in healthy young male players, while highlighting the sensitivity limitations of current assays for detecting subtle changes in this population.
This paper presents a biophysical model of the antennal lobe demonstrating that the interplay between slow synaptic inhibition and intrinsic SK currents, modulated by stimulus intensity, generates the diverse mechanosensory response patterns observed experimentally and influences odor processing.
The paper introduces Concurrent Supervised-Unsupervised Representative Subspace Clustering (CSU-RSC), a novel framework that integrates sex information into neuroimaging subtyping to identify distinct, clinically relevant psychosis neurosubtypes with significant sex-specific heterogeneity that are not observed in healthy controls.
While individual brain region activity and neurotransmitter levels did not differ between bold and shy zebrafish during learning, the study reveals that distinct functional connectivity patterns between olfactory and hippocampal homologs likely underlie the observed differences in reward learning speeds across personality types.