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

Estrogen-related receptor gamma is required for normal auditory innervation and is essential for hearing.

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.

Seshadri, S. V., Ingham, N., Mackenzie, R. R., Carlton, A. J., Johnson, S. L., Alcock, D., Bullen, A., Smith, K. E., Mar (…)2026-05-05
🧠 neuroscience

An interpretable deep learning framework for classifying neuronal morphologies using topology and graph neural networks

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.

Kanari, L., Schmidt, S., Casalegno, F., Delattre, E., Banjac, J., Negrello, T., Shi, Y., Meystre, J., Defferrard, M., Sc (…)2026-05-04
🧠 neuroscience

Cholesterol-mediated Lysosomal Dysfunction in APOE4 Astrocytes Promotes α-Synuclein Pathology in miBrains, a Human Brain Microphysiological System

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.

Mesentier-Louro, L. A., Goldman, C., Gaese, S., Buonfiglioli, A., Kyriakis, D., Harlock, A., Ndayisaba, A., Sartori, E. (…)2026-05-04
🧠 neuroscience

Multimodal autonomic arousal tracks dose-dependent affective dynamics during the acute effects of DMT

This study demonstrates that multimodal autonomic arousal, measured through cardiac, electrodermal, and respiratory activity, tracks dose-dependent emotional intensity and distinct temporal dynamics during the acute effects of inhaled DMT, offering a physiological basis for characterizing psychedelic-induced affective states.

D'Amelio, T. A., Gil Garbagnoli, T., Rodriguez Cuello, J., Lewis-Healey, E., Pallavicini, C., Cavanna, F., Bruno, N., de (…)2026-05-04
🧠 neuroscience

Transformed reactivation of latent working memory enables hierarchical language processing

Using magnetoencephalography, this study reveals that human language comprehension relies on activity-silent working memory where latent representations of earlier words undergo transformed reactivation in the right dorsolateral prefrontal cortex before engaging language-specific networks to support hierarchical syntactic processing.

Li, J., Pan, Y., Park, H., Hagoort, P., Luo, H., Jensen, O.2026-05-04
🧠 neuroscience

Functional connectivity correlates of the hierarchical p-factor model in youth at neurodevelopmental risk

This study demonstrates that in youth with learning difficulties, transdiagnostic mental health dimensions—particularly neurodevelopmental and social maladjustment factors—are significantly associated with specific alterations in resting-state functional connectivity, including increased default mode network coupling and reduced visual-somatomotor connectivity.

Ianov Vitanov, R. A., Akarca, D., CALM Team,, Morgan, S. E., Jones, J. S.2026-05-04