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 demonstrates that excitatory theta burst stimulation of the dorsolateral prefrontal cortex causally improves motor performance in Parkinson's disease, particularly under high cognitive load, by reshaping functional connectivity within the somato-cognitive action network.
This study validates a recently proposed seven-protein blood-based Alzheimer's disease staging panel by demonstrating its constituent biomarkers consistently correlate with brain proteomic remodeling across multiple independent post-mortem cohorts, achieved through the harmonized re-analysis of legacy mass spectrometry data.
This paper proposes an Echo State Network architecture incorporating a dedicated decision-confidence readout neuron that successfully monitors classification quality in real-time, demonstrating that confidence levels correlate with decision accuracy and discriminability in EEG-based motor imagery tasks.
This study demonstrates that the human cortex actively encodes speech timing variability as meaningful information across multiple timescales, specifically representing the deviation of syllable and phoneme durations from expectations rather than treating such variability as noise to be discarded.
The paper introduces PURELIGHT, a unified hardware and software framework that eliminates photon pile-up distortions in time-correlated single-photon counting, enabling video-rate, quantitative fluorescence microscopy with accurate intensity and lifetime measurements across diverse detector technologies.
This study demonstrates that disrupting molecular circadian rhythms specifically in nucleus accumbens astrocytes of mice leads to a significant increase in binge-like alcohol consumption, revealing a novel role for these glial cells in regulating reward circuitry and susceptibility to alcohol misuse.
This study establishes a practical framework for precise MRI-guided stereotaxic targeting in nonhuman primates using skull-fixed fiducials, demonstrating that rigid registration offers the optimal balance between correcting positioning differences and maintaining accuracy at internal targets compared to offset translation and affine methods.
This study demonstrates that bumetanide treatment strengthens residual, functionally compromised brain-bladder communication mediated by spared thoracic spinal neurons after spinal cord injury, thereby improving neurogenic bladder function in both mouse models and a clinical cohort.
This study demonstrates that while MScanFit is broadly robust to substantial motor unit loss and heterogeneous remodelling, its estimation accuracy is systematically influenced by specific physiological factors such as denervation patterns, reinnervation methods, and neuromuscular resilience, indicating that performance variability has a physiological basis rather than being purely technical.
This study demonstrates that in mice trained on an orientation discrimination task, the primary visual cortex (V1) undergoes a geometric reshaping of population activity—characterized by static manifold compression and dynamic separation—that enhances the linear separability and stability of task-relevant representations to support perceptual decisions.