Results 101 to 110 of about 7,342,985 (366)
PRACTICAL STRATEGIES FOR ENHANCING INTERDISCIPLINARY COLLABORATION IN NEUROEDUCATIONAL STUDIES
The need to overcome artificial obstructions and limitations in our scientific understanding of the complexity of educational issues is the major driver of interdisciplinary collaboration in the field of Neuroeducational Studies. To get full advantage of
Ali Nouri
doaj
Over-reliance on English hinders cognitive science
Damián E. Blasi+4 more
semanticscholar +1 more source
The Case of a 67‐Year‐Old Man With Memory Difficulties and Altered Sleep
Annals of Clinical and Translational Neurology, EarlyView.
Wesley Peng, Borna Bonakdarpour
wiley +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
Die Beziehung zwischen Wissen, Bedeutung, Geist und Information: Der semognostische Ansatz
Übersetzung des Aufsatzes "Interrelation of Knowledge, Meaning, Mind, and Information: The Semognostic Approach", erschienen in Informacijos Mokslai 2002, Vol. 21, p.
Algirdas Budrevičius
doaj
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
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
Translating Muscle RNAseq Into the Clinic for the Diagnosis of Muscle Diseases
ABSTRACT Objective Approximately half of patients with hereditary myopathies remain without a definitive genetic diagnosis after DNA next‐generation sequencing (NGS). Here, we implemented transcriptome analysis of muscle biopsies as a complementary diagnostic tool for patients with muscle disease but no definitive genetic diagnosis after exome ...
Alba Segarra‐Casas+24 more
wiley +1 more source
Military Service Roles and ALS Among Veterans: A Matched Case–Control Study
ABSTRACT While military service is an established risk factor for amyotrophic lateral sclerosis (ALS), it remains unclear whether this association is linked to combat. We conducted a matched case–control study comparing 191 ALS patients who were veterans of the Israeli Defense Forces (IDF) with known military service type and 1910 matched controls. The
Asaf Honig+4 more
wiley +1 more source
Editorial: Methods and applications in cognitive science. [PDF]
Padakannaya P, Puvia E, Khalil R.
europepmc +1 more source