Neurology explores the intricate workings of the brain and nervous system, tackling everything from memory and movement to complex conditions like epilepsy and Alzheimer's. This field seeks to understand how our minds function and what happens when that delicate machinery falters, aiming to improve lives through better diagnosis and treatment.

At Gist.Science, we make the latest research from medRxiv accessible to everyone. We process every new preprint in this category, offering both straightforward plain-language explanations and detailed technical summaries so you can grasp the science at your own pace. Below are the latest papers in neurology, ready for you to explore.

🧠 neurology

In vivo Assessment of Brain Microstructure in Patients with Huntington's Disease Using Quantitative MRI

This study demonstrates that quantitative multiparametric MRI (MPM) effectively detects stage-specific microstructural alterations, such as early demyelination in premanifest and widespread neuronal loss in manifest Huntington's disease, establishing MPM as a valuable non-invasive biomarker for tracking neurodegeneration and correlating with clinical severity.

Pokotylo, M. M., Assmann, J.-L., Koedderitzsch Mertins, M. G., Henkel, J., Uter, J., van Well, L., Muenchau, A., Loens (…)2026-01-21
🧠 neurology

ATN Classification and Machine-Learned Plasma Biomarker Phenotypes Reveal Distinct Alzheimer's Pathology in a Population-Based Cohort

In a large population-based cohort, this study demonstrates that while theory-driven ATN classification and data-driven machine learning phenotypes show only modest concordance—largely driven by GFAP rather than shared amyloid, tau, and neurodegeneration biomarkers—both frameworks effectively predict longitudinal cognitive decline, suggesting that integrating these complementary approaches offers a more comprehensive characterization of Alzheimer's pathology.

Chea, E. F.2026-01-15