193 papers
This study demonstrates that 4 Hz theta-frequency subthalamic nucleus deep brain stimulation significantly improves cognitive accuracy in Parkinson's disease patients with cognitive impairments, outperforming both standard high-frequency stimulation and the stimulation-off state.
The "StepuP" randomized controlled trial protocol outlines a study recruiting 126 individuals with Parkinson's disease to investigate the biomechanical and neurophysiological mechanisms—specifically stability-related foot placement and cortical sensorimotor integration—underlying the efficacy of speed-dependent treadmill training, with or without virtual reality and mechanical perturbations, to improve gait and daily mobility.
By integrating post-mortem tissue data, in vivo PET imaging, and kinetic modeling, this study reveals that a profound defect in vesicular dopamine storage, rather than just synthesis or release, is the primary cause of dopamine depletion in the residual terminals of Parkinson's disease patients.
This paper introduces the Nearest Neighbor Normativity (N3) framework, a novel approach that leverages local density estimation within diverse demographic subgroups to create personalized brain structural aging biomarkers, which outperform existing population-average models in detecting neurodegenerative diseases and advancing personalized patient care.
This study demonstrates that transcranial electrical stimulation with temporal interference (TES-TI) targeting the thalamus at a fixed 10 Hz difference frequency significantly enhances sleep spindle activity and sigma band power during daytime naps, outperforming both individually matched frequency and stimulation without a difference frequency.
This study demonstrates that a geometry-driven framework using cortical eigenmodes derived from routine structural MRI can accurately diagnose hereditary cerebellar ataxia subtypes, track disease progression more sensitively than conventional volumetric measures, and predict functional brain signatures, offering a scalable tool for clinical decision support.
In a clinical trial involving healthy older adults, researchers demonstrated that a specific pharmacological combination (ACX-02) enhances glymphatic transport by increasing EEG slow waves and reducing parenchymal resistance, thereby significantly increasing the clearance of Alzheimer's-related amyloid beta and tau proteins from the human brain.
By analyzing data from over 1,200 patients with brain lesions and stimulation sites, researchers identified a convergent brain network for verbal episodic memory that outperforms existing targets in explaining memory changes and correlates with clinical trial success in Alzheimer's disease, offering a refined neuroanatomical target for future neuromodulation therapies.
This study demonstrates that progressive hypothalamic atrophy across the Alzheimer's disease spectrum is linked to specific sleep disturbances and cognitive decline, suggesting the hypothalamus plays a critical role in the interplay between sleep disruption and memory impairment.
This population-based study demonstrates that while nusinersen treatment is highly effective and well-adhered to in children with spinal muscular atrophy, its long-term persistence significantly declines in adolescents and adults due to treatment burden and limited efficacy, though a subset of older patients with higher baseline function still experience sustained motor benefits.
This study reveals that cognitive impairment in patients with Idiopathic Generalized Epilepsy is specifically associated with increased gray matter volume and enhanced functional connectivity in the right nucleus accumbens and its circuit with the prefrontal cortex, distinct from the general structural changes observed across all IGE patients.
This randomized controlled trial found that a three-week, high-dose, high-intensity virtual exploratory movement therapy program did not significantly improve upper limb recovery beyond spontaneous biological recovery in the early post-stroke phase, suggesting that such intensive interventions may be more effective if delayed until the late sub-acute stage.
This study presents and validates an end-to-end deep learning pipeline that successfully segments white matter hypoattenuations in CT scans by combining expert-annotated and pseudo-labelled multi-centre data, achieving high volume correlation with MRI ground truth and demonstrating the clinical viability of CT for assessing white matter disease burden where MRI is unavailable.
This study demonstrates that damage to large-scale serotonergic (5-HT1a) and dopaminergic (D1) neurotransmitter-related brain networks significantly predicts language impairment in stroke patients, explaining additional variability beyond traditional clinical factors and suggesting new avenues for targeted rehabilitation.
This study demonstrates that cervical proprioceptive perturbation via neck vibration reliably provokes vertigo and nystagmus in vestibular migraine patients, with near point convergence serving as a key independent predictor of these responses, thereby providing an objective physiological marker that supports a model of abnormal cervical-vestibular integration.
This study demonstrates that a deep learning approach applied to EEG data can detect subtle changes in Deep Brain Stimulation parameters in Parkinson's Disease patients by identifying consistent modifications in cortical mid-gamma (60–90Hz) oscillations, offering a promising pathway for developing digital biomarkers to optimize DBS programming.
This single-center cohort study of 404 individuals with pathogenic PRNP variants in the United States validates the accuracy of retrospective survival data while suggesting a slightly later age of onset, demonstrating that combining autopsy records with public death searches provides a highly sensitive method for tracking mortality in this population.
This study reveals that patients with logopenic variant primary progressive aphasia (lvPPA) secondary to Alzheimer's disease and a history of learning differences exhibit a significantly higher burden of tau pathology in the superior temporal gyrus compared to those without such a history, despite no differences in amyloid-beta levels.
This multicenter study demonstrates that a low-cost, two-stage screening protocol combining a brief symptom questionnaire with home-based wrist actigraphy achieves high specificity and good sensitivity for detecting isolated REM sleep behavior disorder, offering a scalable alternative to resource-intensive video-polysomnography.
This study demonstrates that Permutation Entropy is fundamentally unsuited as a dementia EEG biomarker due to its extreme parameter sensitivity and structural blindness to oscillatory regularity, whereas Sample Entropy offers a robust, complementary alternative that effectively captures the complexity loss associated with the disease.