1519 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 motoneuron doublets, which nonlinearly amplify muscle force, are generated by a persistent sodium current at the first node of Ranvier that is gated and timed by monoaminergic neuromodulation.
By applying joint independent component analysis to paired Amyloid and Tau PET data from the ADNI cohort, this study reveals that spatially overlapping Amyloid-Tau abnormalities define distinct network territories that exhibit the strongest associations with disease progression, cognitive decline, and APOE4 status compared to isolated pathologies.
This paper presents a robust, single-channel EEG framework that enables accurate, cross-animal sleep staging and continuous, second-by-second probabilistic characterization of mouse vigilance states without requiring expert interpretation or electromyographic signals.
This study demonstrates that transcranial ultrasound stimulation targeted at the human corticospinal tract causally modulates white matter neurophysiology, establishing a non-invasive method to influence specific white matter tracts with effects dependent on both ultrasound pressure and tissue microstructure.
This study reveals that across six mammalian species spanning over 100 million years of evolution, direct unimodal and primary sensory inputs to the hippocampus were selectively eliminated as brain size increased, suggesting that hippocampal processing and cognition differ fundamentally across species due to these distinct anatomical trajectories.
This study demonstrates that while the overall magnitude of the human structural connectome declines with age, its local geometric redundancy, as measured by Ollivier-Ricci curvature, remains conserved in total but undergoes significant spatial redistribution across specific brain networks on a timescale distinct from connection strength.
This study demonstrates that peripheral nerve injury induces the formation of germinal center B cell-dependent tertiary lymphoid structures in the dorsal root ganglia meninges, which serve as a critical pronociceptive locus driving neuropathic pain.
This paper introduces the RnR framework, a causal discovery method that explicitly models fMRI temporal undersampling to recover stable, directionally robust brain networks, successfully identifying schizophrenia-specific hyperconnectivity patterns that traditional single-timescale estimators miss.
This study demonstrates that slow dynamics, specifically the recruitment of KV4 currents by deep after-hyperpolarizing potentials to confine membrane potential trajectories within a narrow phase-space channel, are critical for ensuring the robustness of regular pacemaking in midbrain dopamine neurons projecting to the dorsomedial striatum compared to those with shallower potentials projecting to the nucleus accumbens.
This study benchmarks three graph construction methods for analyzing human brain slice MEA recordings, revealing that methodological choices significantly alter network topology and introduce hidden degrees of freedom comparable to biological signals, while identifying the spike time tiling coefficient as a robust, parameter-stable alternative.