Results 221 to 230 of about 8,014,776 (341)

Nuclei‐Specific Amygdala Enlargement Is Linked to Psychiatric Comorbidities in Drug‐Resistant Focal Epilepsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Amygdala enlargement has been the subject of controversial studies regarding its significance in terms of pathogenicity both in epilepsy and in psychiatric comorbidities such as anxiety, depression, and post‐traumatic stress disorder.
Hélène Mourre   +15 more
wiley   +1 more source

CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

The challenges of research data management in cardiovascular science: a DGK and DZHK position paper-executive summary. [PDF]

open access: yesClin Res Cardiol
Steffens S   +24 more
europepmc   +1 more source

Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

Precision‐Optimised Post‐Stroke Prognoses

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
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

A model for initiating research data management services at academic libraries. [PDF]

open access: yesJ Med Libr Assoc, 2019
Read KB   +6 more
europepmc   +1 more source

Home - About - Disclaimer - Privacy