neuroscience papers | Gist.Science

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

Integrated heart rate variability and physiological profiling reveals autonomic phenotypes in older adults from a high-southern-latitude population

By integrating heart rate variability with demographic, anthropometric, and cardiovascular data in a high-southern-latitude cohort of older adults, this study demonstrates that autonomic regulation is best characterized as a multidimensional physiological continuum rather than by isolated descriptors, revealing six distinct autonomic phenotypes with significant implications for risk stratification.

Medina-Ortiz, D., Castillo-Aguilar, M., Mabe-Castro, D., Mabe-Castro, M., Nunez, C.2026-03-30

🧠 neuroscience

The duration of chronic restraint stress protocols is a poor predictor of behaviour effect size: a meta-analysis

This meta-analysis of chronic restraint stress in rats demonstrates that while the procedure effectively induces anxiety- and depression-like behaviors across multiple tests, the duration of the stress protocol is generally a poor predictor of the resulting effect sizes, with the exception of the sucrose preference test.

Romano, N., Menzies, J.2026-03-30

🧠 neuroscience

Sensory and developmental phenotyping of C. elegans parses autism associated genes into behavioural classifications

This study utilizes *C. elegans* to demonstrate that 50% of high-confidence autism-associated epigenetic modifier genes can be systematically categorized into three distinct behavioral profiles based on their specific impacts on sensory processing and gross development, thereby highlighting the need for refined sensory testing in human cohorts.

Lamb, J. W., Pieroni, E. M., Al Khawaja, F., Deinhardt, K., O'Connor, V. M., Dillon, J. C.2026-03-30

🧠 neuroscience

Shifts in protein aggregate stability define proteostasis decline in the aging human brain

This study reveals that normal human brain aging involves an asymmetric remodeling of the insoluble proteome, characterized by the decline of highly stable aggregates and the progressive accumulation of intermediate-stability aggregates that are prone to phase separation and linked to Alzheimer's disease pathology, a process strongly predicted by proteasome and chaperone capacity.

Anderton, E., Burton, J. B., King, C. D. K. D., Foulger, A. C., Bhaumik, D., Timonina, D., Mayeri, Z., Chamoli, M., Ande (…)2026-03-30

🧠 neuroscience

Directed neural interactions in fMRI: a comparison between Granger Causality and Effective Connectivity

This paper establishes an analytical and empirical link between Granger Causality and Effective Connectivity in fMRI by deriving a quadratic relationship between them, demonstrating that their convergence requires large datasets and offering methodological guidance for reconstructing directed brain networks.

Allegra, M., Gilson, M., Brovelli, A.2026-03-29

🧠 neuroscience

Decoding spine nanostructure in cultured neurons derived from mouse models of mental disorder reveals a schizophrenia-linked role for Ecrg4

This study utilizes population-level analysis of dendritic spine nanostructure in mouse models to distinguish schizophrenia from autism spectrum disorder phenotypes and identifies the gene Ecrg4 as a critical molecular driver of the impaired spine dynamics characteristic of schizophrenia.

Okabe, S., Kashiwagi, Y., Liu, Q., Go, Y., Saito, R., Aiba, A., Nakazawa, T.2026-03-29

🧠 neuroscience

High-fidelity backpropagation through primate foveal cones

Although electrophysiological recordings and modeling demonstrate that primate foveal cones effectively backpropagate signals from their terminals to their outer segments without requiring voltage-gated amplification, these signals are unlikely to influence phototransduction, suggesting that visual encoding in these cells remains compartmentalized.

Wienbar, S. R., Bryman, G. S., Do, M. T. H.2026-03-29

🧠 neuroscience

The RNA editing enzyme ADARB1 is readily detectable in primary auditory neurons and provides a means for automated counting

This study demonstrates that the RNA editing enzyme ADARB1 is a robust, species-conserved nuclear marker for spiral ganglion neurons, enabling reliable automated cell counting as a time-efficient alternative to manual methods for assessing auditory neuron degeneration.

Fincher, G. C., Thapa, P., Gressett, S. C., Walters, B. J.2026-03-29

🧠 neuroscience

Symmetric brain-liver circuits mediate lateralized regulation of hepatic glucose output in mice

This study reveals that the brainstem exerts lateralized, contralateral control over hepatic glucose metabolism in mice via bilaterally projecting sympathetic pathways that cross over at the porta hepatis, a mechanism that ensures systemic glucose homeostasis through intrinsic neuroadaptive compensation.

Wang, Z., Gong, X., Jiang, L., Wang, K., Sun, X., Li, Y., Ran, M., Chen, Y., Wang, H., Chu, X., Wang, S., Wang, J., Zhen (…)2026-03-28

🧠 neuroscience

DIANA: An integrated pipeline for analysis of long-read whole-genome sequencing data for molecular neuropathology.

The paper introduces DIANA, an automated pipeline that integrates long-read whole-genome sequencing data to simultaneously generate comprehensive molecular profiles—including methylation classification, copy-number variants, gene fusions, and small variants—for streamlined CNS tumor diagnosis and clinical decision-making.

Bope, c. D., Leske, H., Nagymihaly, R. M., Vik-Mo, E. O., Halldorsson, S.2026-03-28

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