CSF Biomarker‐Based Cognitive Trajectories in Parkinson's Disease‐Subjective Cognitive Decline
Annals 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
Efficacy and Safety of Histamine H3 Receptor Antagonist/Inverse Agonist Including Betahistine for Schizophrenia: A Systematic Review and Meta-Analysis. [PDF]
Neuropsychopharmacol RepNishii Y +4 more
europepmc +1 more source
Coffee Consumption Is Associated With Later Age‐at‐Onset of Parkinson's Disease
Annals 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
ABSOLUTE NUMEROSITY JUDGEMENT INFLUENCES VOLUNTARY CONTROL IN GO/NO-TASK
IBRO Neuroscience Reports, 2023 Puppala Sai Preetham +5 more
doaj
Cultural Considerations in the Context of the I-PACE Model of Addictive Behaviors: Commentary on Lee et al.'s "Applying the Interaction of Person-Affect-Cognition-Execution Model to Addictive Behaviors in East Asian Countries: Feasibility and Considerations". [PDF]
J Korean Acad Child Adolesc PsychiatryBrand M.
europepmc +1 more source
The Structural Analysis to the Landscape Cognition of Resident in Low rise housing area
, 1983 T. Kubo +5 more
openalex +2 more sources
Precision‐Optimised Post‐Stroke Prognoses
Annals 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
Disability and social cognition in euthymic patients with bipolar disorder. [PDF]
BMC PsychiatrySevindik M +3 more
europepmc +1 more source