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.
Using two-photon calcium imaging in 5xFAD mice, this study demonstrates that amyloid pathology compresses the dynamic range of hippocampal CA1 neurons, degrades spatial coding, and impairs memory-related learning, with these deficits intensifying near plaques and with age.
This study reveals that childhood deprivation is linked to sex-specific alterations in frontostriatal connectivity and subsequent anhedonia in young adulthood, with males showing a distinct vulnerability characterized by positive connectivity associations and increased anhedonia risk compared to females.
This study demonstrates that colon-to-hind paw cross-organ sensitization is partially mediated by spinal astrocyte TrkB.T1, which drives neuroinflammation and TNF-α release to activate lumbar DRG neurons via distinct PI3K/Akt and p-CREB pathways, thereby upregulating Piezo2 and CGRP to induce mechanical hypersensitivity while leaving thermal hyperalgesia unaffected.
This study demonstrates that metabotropic glutamate receptors dynamically regulate trans-thalamic communication by enhancing feedforward sensory propagation in cortical neurons and shifting thalamic firing modes to prioritize novel stimuli, thereby adaptively controlling cortical decision-making.
Using 7T fMRI data and language-aligned models, this study demonstrates that the high-level visual cortex is sensitive to the compositional structure of natural scenes rather than just object co-occurrence, suggesting that language supervision can help artificial vision models develop similar structured representations.
This study demonstrates that while conventional beta power remains unchanged in schizophrenia, dissociable anterior and posterior beta-burst abnormalities within the default mode network specifically track objective markers of thought disorder, suggesting impaired hierarchical coordination of predictive signaling as a key mechanism underlying disorganized thought.
This paper introduces a novel experimental platform that combines freely moving behavior with precise environmental control to demonstrate that rats can learn complex multistage navigation tasks while their medial entorhinal cortex activity reveals both canonical spatial coding and goal-directed population dynamics.
Using functional MRI, this study demonstrates that first-order thalamic nuclei (specifically the LGN, MGN, and VLN) are functionally modulated by distinct language systems (reading, speech comprehension, and speech production), revealing a critical and lateralized role for the thalamus in human language processing beyond traditional cortical mechanisms.
Using a pharmacogenetic approach in rhesus macaques, this study demonstrates that selectively inhibiting locus coeruleus neurons specifically impairs performance on cognitively demanding tasks requiring working memory, thereby establishing a causal role for the noradrenergic system in mobilizing resources for cognitive effort.
The authors introduce the Neuropixels 2.0 Quad Base, a 1536-channel probe that enables simultaneous brain-wide recordings across over 20 regions in mice, revealing expanded functional subnetworks and the spatiotemporal dynamics of motor decision-making that are missed by standard recording tools.