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 demonstrates that early-stage alpha-synuclein aggregation in the cortex drives circuit dysfunction and non-motor symptoms in Parkinson's disease models through specific phosphoproteomic alterations, particularly involving ERK signaling and kinase-mediated pathways, rather than global changes in protein or lipid levels.
This paper introduces and validates a novel multimodal framework combining EEG, eye-tracking, and behavioral measures to investigate natural scene segmentation in individuals with Autism Spectrum Disorder, demonstrating its feasibility for capturing dynamic, real-world perceptual processing differences between neurotypical and neurodivergent populations.
This study demonstrates that in the *Drosophila* NPF system, functional specificity for diverse behaviors like feeding and mating is determined by the distinct cellular sources and circuit contexts of NPF neurons rather than receptor diversity, a mechanism often obscured by population-level perturbations.
This paper introduces an open-source, markerless pipeline that combines seven high-speed cameras and deep learning to achieve precise, full-body 3D kinematic tracking of freely behaving Drosophila, revealing that they utilize grounded running across all speeds and exhibit coordinated wing and body movements during courtship.
This study demonstrates that low-intensity repetitive trans-spinal magnetic stimulation (LI-rTSMS) promotes spinal cord repair in mice in a pattern- and coil size-dependent manner, with the BHFS protocol proving most effective by modulating neuroinflammation, reducing fibrosis, and enhancing ependymal cell proliferation without relying on widespread early neuronal activation.
By integrating MEG, computational modeling, and various neuroimaging techniques, this study demonstrates that prolonged local recurrent processing, rather than long-range top-down feedback, is the primary mechanism enabling the recognition of occluded objects.
This paper introduces RACOON, an open-source deep learning framework that effectively identifies and corrects subtle linear registration errors in T1w MRI scans, thereby preventing error propagation in downstream morphometric analyses and outperforming existing state-of-the-art methods.
This study reveals that following traumatic brain injury, a delayed and sustained imbalance between AQP4 and SNTA1 expression emerges in astrocytes, driving specific potassium and ion homeostatic remodeling that distinguishes chronic post-traumatic biology from acute inflammatory responses.
This study demonstrates that clinically relevant concentrations of various antibiotics directly modulate mouse and human dorsal root ganglion neuron activity by inducing calcium flux through divergent mechanisms, such as TRPA1 activation or mitochondrial ROS production, thereby revealing a previously unexplored source of antibiotic side effects.
This study demonstrates that spontaneous eye movements selectively enhance auditory spatial localization when directed toward a sound source, revealing a specific behavioral coupling between saccadic orienting and auditory spatial processing rather than a general influence on all auditory perception.