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 while Wavelet Transform Coherence (WTC) can effectively detect experimentally defined temporal correspondence in fNIRS signals, its sensitivity is critically dependent on social co-presence, which alters both the ability to distinguish signal matching and the underlying neural dynamics themselves.
This study characterizes tactile and temperature perception across the human torso, revealing site-specific differences in pleasantness, intensity, and sensitivity—particularly on the nipple-areola complex—that offer fundamental insights for understanding affective touch and aiding sensation recovery after mastectomy.
This study demonstrates that the gut microbial metabolite S-equol mitigates cadmium-induced neurotoxicity in mice by restoring neuronal and synaptic function, while human data suggest its levels are influenced by genetics and body mass index, positioning it as a promising microbiome-derived countermeasure against cadmium-related cognitive decline.
This study identifies the thalamus as a central structural and functional hub in schizophrenia spectrum disorder, demonstrating that its dysconnectivity with specific cortical and subcortical networks is significantly associated with negative symptoms, particularly blunted affect and anhedonia.
This paper proposes a low-rank recurrent network model that reframes single-trial neural variability as continuous deformations of a shared circuit's flow field driven by trial-specific control parameters, successfully recovering ground-truth dynamics and revealing interpretable behavioral engagement and task structure in motor cortex data.
This study demonstrates that while common marmosets and humans share robust, fast feedforward mechanisms for detecting visual symmetry, marmosets exhibit a divergence in their temporal dynamics by lacking the sustained, likely feedback-driven processing of rotational symmetry that characterizes human perception.
This study demonstrates that age-related motor decline and metabolic dysfunction in *Drosophila* are caused by reduced octopamine-evoked Ca2+ signaling due to lower Tyr1R receptor expression, which can be reversed by selectively overexpressing Tyr1R in specific neurons to restore signaling, metabolism, and locomotion.
This paper demonstrates that human perceptual sensitivity and discrimination thresholds are best explained by neural representations optimized for ecological tasks like sound localization and recognition, rather than by internal neural noise.
By applying a harmonized analysis pipeline to three distinct pain conditions, this study reveals that pain does not share a unitary EEG microstate signature but instead exhibits pain-type-specific large-scale brain dynamics, with microstate C serving as the clearest differentiator between experimental and clinical pain.
The paper introduces MIRTH, a novel imputation-based harmonization method that effectively mitigates site effects in neuroimaging machine learning studies without causing data leakage or attenuating true biological signals.