ABSTRACT Dopaminergic medication and deep brain stimulation (DBS) improve motor symptoms in Parkinson's disease (PD), but levodopa response alone may not predict DBS outcomes. We retrospectively analyzed 19 PD patients undergoing levodopa challenges with and without prior transcranial direct current stimulation targeting a defined PD response network ...
Lukas L. Goede+3 more
wiley +1 more source
Association of altitude and eosinophil with the one-year mortality of acute exacerbation of chronic obstructive pulmonary disease: a cohort study. [PDF]
Li J+9 more
europepmc +1 more source
Regression effect in psychophysical judgment [PDF]
S. S. Stevens, Hilda B. Greenbaum
openalex +1 more source
CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline
ABSTRACT Objective Cognitive complaints without objective cognitive impairment in Parkinson's Disease, termed Parkinson's Disease‐Subjective Cognitive Decline (PD‐SCD), have been associated with cognitive decline. However, its progression is heterogeneous, highlighting the need for improved identification of patients at greater risk for deterioration ...
Jon Rodriguez‐Antiguedad+7 more
wiley +1 more source
Causes of Down syndrome regression disorder: a scoping review. [PDF]
Natividade MMP+7 more
europepmc +1 more source
Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease
ABSTRACT Observation studies suggest that coffee consumption may lower the risk and delay the age‐at‐onset (AAO) of Parkinson's disease (PD). The aim of this study was to explore the causal relationship and genetic association between coffee consumption and the AAO, risk, and progression of PD. Using Mendelian randomization, we identified a significant
Dariia Kuzovenkova+3 more
wiley +1 more source
Integrating high dimensional quadratic regression with penalties based predictive modeling for hydro power plants accurate tariff prediction. [PDF]
Dash R+4 more
europepmc +1 more source
Correction Note: Correction to On the Asymptotic Theory of Fixed-Size Sequential Confidence Bounds for Linear Regression Parameters [PDF]
Leon Jay Gleser
openalex +1 more source
Precision‐Optimised Post‐Stroke Prognoses
ABSTRACT Background Current medicine cannot confidently predict who will recover from post‐stroke impairments. Researchers have sought to bridge this gap by treating the post‐stroke prognostic problem as a machine learning problem, reporting prediction error metrics across samples of patients whose outcomes are known.
Thomas M. H. Hope+4 more
wiley +1 more source
Diagnosis models to predict peripheral arterial disease: a systematic review and meta analysis. [PDF]
Quan X+7 more
europepmc +1 more source