98 papers
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.
This study utilizes three-dimensional gait analysis to characterize the heterogeneous gait deviations in STXBP1-related disorder, identifying externally rotated foot progression as the most common pattern and demonstrating that the age of independent walking onset predicts future community mobility while validating observational scoring as a practical alternative to instrumental analysis.
This study demonstrates that targeted long-read RNA sequencing (Amp-LRS) is a sensitive, cost-effective, and versatile method for functionally validating non-coding variants predicted to alter splicing in rare neurological disorders, successfully confirming pathogenic mechanisms in all five tested patients using accessible tissues.
This prospective longitudinal study of 450 Parkinson's disease patients demonstrates that poor visual function, particularly when combined with specific genetic risk factors such as GBA1 variants and polygenic risk scores for Parkinson's and Alzheimer's diseases, significantly predicts progression to cognitive impairment, offering a strategy to enrich clinical trials for more efficient dementia intervention studies.
This study utilized a Bayesian multimodal subtyping framework on over 121,000 cognitively unimpaired adults to identify four distinct risk profiles, revealing that those with cardiometabolic-depressive multimorbidity face the highest risk of developing mild cognitive impairment and derive the greatest protective benefit from antihypertensive and specific antidiabetic treatments.
Nine weeks of paced breathing training in adults aged 50–70 induced volume increases in the left orbitofrontal cortex driven by oscillatory heart rate power, which subsequently correlated with enhanced attentional control and memory performance, suggesting a frequency-general mechanism for improving neurovisceral integration and cognitive resilience in aging.
This systematic review and meta-analysis of 32 studies involving 3,212 stroke survivors found that theory-based self-management interventions, particularly those grounded in self-efficacy theory, significantly improve self-efficacy and self-management behaviors, although the magnitude of the behavioral improvement is uncertain due to high heterogeneity among the diverse theoretical frameworks used.
This study found that while adults with new-onset epilepsy have a consistently higher risk of starting SSRI treatment compared to the general population, the shift toward newer antiseizure medications did not increase this likelihood, revealing a persistent and potentially widening treatment gap for depression, particularly among young adults.
This systematic review and exploratory meta-analysis finds that while minocycline demonstrates promising biological activity and safety in acute traumatic spinal cord injury, current clinical evidence does not conclusively support its efficacy in improving neurological or functional outcomes, highlighting the need for further robust randomized controlled trials.
This study employs a meta-analytic and unsupervised clustering approach to evaluate riluzole-based treatments for ALS, finding that while no adjunctive therapy significantly outperforms riluzole monotherapy, certain modulator classes show positive trends and highlighting a critical need for diverse, large-scale international trials due to current geographic research biases.
This study demonstrates that automated speech recognition (specifically Whisper), particularly when combined with quality control, offers a cost-effective and accurate alternative to manual transcription for characterizing linguistic impairments and classifying primary progressive aphasia variants, often outperforming manual methods in classification tasks.