1527 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 utilizing a 10.5T ultrahigh-field fMRI system enables unprecedented 0.5 mm isotropic resolution imaging of the human hippocampus, overcoming historical signal limitations to facilitate the investigation of functional microcircuits and high-precision clinical diagnostics.
This study demonstrates that adult-specific downregulation of Plasma Membrane Calcium ATPase (PMCA) in *Drosophila* dopaminergic neurons disrupts calcium homeostasis to cause presynaptic dysfunction and increased neuronal vulnerability, revealing a pre-degenerative state where synaptic alterations precede overt neurodegeneration.
This paper introduces MAGIC MRI, a non-invasive, genetically encoded reporter system based on the Zip14 transporter that enables high-resolution, longitudinal in vivo tracing of neural circuits across species, from rodents to rhesus macaques, by visualizing manganese accumulation without the need for terminal histology.
This study identifies a discrete circuit of corticotropin-releasing hormone-expressing neurons in the anterodorsal preoptic area that is essential for initiating active rewarming and restoring euthermia from torpor by driving brown adipose tissue thermogenesis, a mechanism conserved across both daily torpor and hibernation.
This study challenges the classical view of a hardwired early split in vertebrate vision by demonstrating that On-Off coding is actually a latent, intrinsic property of visual circuits that is dynamically suppressed by inhibition and can be unmasked through genetic, pharmacological, or physiological manipulation.
This study demonstrates that time-averaged intracellular calcium dynamics enable neurons to intrinsically sense and jointly regulate both the mean and variance of firing rates through conductance-based feedback, resulting in cell-type-specific homeostatic behaviors dictated by their unique ionic conductance mixtures.
This study demonstrates that Estrogen-related receptor gamma (ESRRG) is essential for normal hearing by driving cochlear innervation and maturation, as its conditional knockout in mice leads to early-onset auditory neuropathy characterized by neuronal malformations, synaptic defects, and delayed myelination despite preserved sensory hair cells.
This paper presents an interpretable deep learning framework that unifies topological data analysis, graph neural networks, and traditional morphometrics to objectively classify neuronal morphologies with expert-level accuracy while identifying the specific structural features driving each classification decision.
Using a novel human brain microphysiological system (miBrain), this study demonstrates that APOE4-induced cholesterol accumulation in astrocytes causes lysosomal dysfunction, which impairs α-synuclein degradation and drives its pathogenic aggregation and neuronal inclusion formation.
This study demonstrates that the human presupplementary motor area (preSMA) utilizes conflict-dependent forward models to detect action errors autonomously by comparing predicted and actual responses, a mechanism validated by both human neural recordings and artificial neural network simulations.