1813 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.
Despite strong population-level correspondence, this study reveals that individual-level functional connectivity fingerprints derived from fMRI and MEG show surprisingly low similarity, with structural variability accounting for most age-related variance shared between the modalities while MEG uniquely captures cognitive traits not reflected in fMRI.
This study demonstrates that premovement suppression of corticospinal excitability is a multifactorial process influenced by both preparatory and initiation-related mechanisms, with the magnitude of suppression varying across simple reaction time, choice reaction time, and go/no-go tasks depending on their specific preparation and response requirements.
Using EEG and multivariate pattern analysis, this study demonstrates that human temporal perception relies on parallel, functionally distinct neural processes that encode physical duration and categorical decisions along orthogonal dimensions, allowing them to be dissociated despite their behavioral interdependence.
This study demonstrates that in common marmosets, the dentate gyrus encodes stationary and moving self-positions independently, while the CA3 subfield integrates these spatial inputs with temporal-order information to form conjunctive spatiotemporal maps essential for episodic memory.
This study analyzes a large-scale, multi-vendor DTI dataset of 2,700 healthy controls to demonstrate that age, sex, MRI vendor, and atlas selection are significant sources of variance that must be accounted for when interpreting brain microstructural metrics.
This study identifies TLR4-mediated neuroimmune signaling as a non-cell-autonomous driver of proprioceptive neuron degeneration in Friedreich ataxia, demonstrating that inhibiting this pathway can reduce cellular stress and delay disease progression.
By integrating laser microdissection with mass spectrometry-based proteomics on individual neurons in post-mortem Alzheimer's disease brains, this study reveals that tangle-bearing neurons undergo a continuous, adaptive molecular trajectory characterized by early proteostasis remodeling and synaptic disruption rather than discrete pathological classes or acute cell death.
This study demonstrates that incorporating NMDA-type glutamate receptors into computational models of hippocampal place cells resolves conflicting experimental findings by showing that spatially tuned place cell activity can be recapitulated regardless of whether inhibitory inputs are spatially uniform, increased, or decreased within the place field.
This paper presents a comprehensive, openly available 3D histological atlas of the five nigrosomes in the substantia nigra, co-aligned to the MNI152 space and validated against multimodal datasets, to enable precise neuroimaging analysis of these structures in both healthy and Parkinson's disease brains.
This study demonstrates that in older adults, increased recruitment of cortical motor and prefrontal regions during high-demand cognitive-motor tasks is associated with performance decline, supporting a novel hypothesis of an inefficient shift from subcortical to cortical processing that aligns with the CRUNCH model.