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.

🧠 neuroscience

Ketone bodies mitigate against systemic inflammation-induced changes in brain energy metabolism and delirium-like deficits in aged mice

This study demonstrates that ketone body treatment mitigates systemic inflammation-induced brain energy disruption and prevents delirium-like cognitive deficits in aged mice by reversing hippocampal insulin resistance and restoring metabolic function without altering pro-inflammatory responses.

Hollier, P.-L., Chui, K. M. K., Cuitavi, J., Denver, P., Delaney, H. J., Newman, J. C., Cunningham, C.2026-02-01
🧠 neuroscience

A molecular map of the human spinal dorsal and ventral horn defines arrangement of neuronal types and glial sex differences

By integrating single-nucleus sequencing and high-resolution spatial transcriptomics of human lumbar spinal cord tissue, this study establishes a comprehensive molecular map defining 34 neuronal classes, revealing sex-specific glial differences, and characterizing the electrophysiological properties of dorsal horn neurons.

Gabriel, K. A., Davis, O. C., Palomino, S. M., Ishishita, S., Poldsam, H., Brandon, J. M., Inturi, N. N., Mydugolam, H. (…)2026-01-31
🧠 neuroscience

A Connectome-Constrained Jansen-Rit Framework for Inferring Cortical Gain Control and Ensemble Stability

This paper presents a connectome-constrained Jansen-Rit framework that reliably infers local neural parameters and low-dimensional dynamical biomarkers from whole-brain activity, offering a biophysically grounded approach to understanding cortical gain control and ensemble stability relevant to disorders like schizophrenia.

Diaconescu, A. O., Wang, Z., Griffiths, J. D.2026-01-31
🧠 neuroscience

Oscillatory and aperiodic neural dynamics shape temporal perception and weighting of perceptual priors in ADHD profiles

This study demonstrates that in individuals with ADHD traits, faster individual alpha frequency and flatter aperiodic neural spectra jointly drive a compressed sense of time characterized by narrower temporal binding windows and reduced reliance on perceptual priors, revealing distinct oscillatory and aperiodic pathways underlying atypical temporal processing.

Marsicano, G., Deodato, M., Melcher, D.2026-01-31
🧠 neuroscience

Alpha oscillations are dysrhythmic in Fragile X syndrome

By analyzing cycle-by-cycle alpha burst features in source-localized resting-state EEG, this study resolves the paradoxical alpha power findings in Fragile X syndrome by revealing distinct dysrhythmic patterns—such as prolonged periods and elevated amplitudes—that correlate with clinical symptoms and suggest underlying interneuron dysfunction.

Siekierski, P., Liu, Y., Westerkamp, G., Elmaghraby, R., ElSayed, Z., Gilbert, D., Erickson, C., Pedapati, E.2026-01-31
🧠 neuroscience

Modeling 2D Spatio-Tactile Population Receptive Fields of the Fingertip in Human Primary Somatosensory Cortex

Using 7T fMRI and a refined modeling approach to overcome limitations in stimulus coverage, this study maps the fine-grained functional architecture of human fingertip representations in primary somatosensory cortex, revealing a specific spatial organization and large population receptive field sizes consistent with primate data.

Stoll, S., Luesebrink, F., Schwarzkopf, D. S., Mattern, H., Liu, P., Noelle, J., Kuehn, E.2026-01-30