Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort

Data-driven disease progression models have provided important insight into the timeline of brain changes in AD phenotypes. However, their utility in predicting the progression of pre-symptomatic AD in a population-based setting has not yet been investigated. In this study, we investigated if the disease timelines constructed in a case...

GenNet framework: interpretable deep learning for predicting phenotypes from genetic data

Applying deep learning in population genomics is challenging because of computational issues and lack of interpretable models. Here, we propose GenNet, a novel open-source deep learning framework for predicting phenotypes from genetic variants. In this framework, interpretable and memory-efficient neural network architectures are constructed...

GENETIC VARIATION UNDERLYING COGNITION AND ITS RELATION WITH NEUROLOGICAL OUTCOMES

Altered tract-specific white matter microstructure is related to poorer cognitive performance. The Rotterdam Study

White matter microstructural integrity has been related to cognition. Yet, the potential role of specificwhite matter tracts on top of a global white matter effect remains unclear, especially when consideringspecific cognitive domains. Therefore, we determined the tract-specific effect of white matter micro-structure on global cognition and...

Older age relates to worsening of fine motor skills: A population-based study of middle-aged and elderly persons

Introduction: In a population-based study of 1,912 community-dwelling persons of 45 years and older, we investigated the relation between age and fine motor skills using the Archimedes spiral-drawing test. Also, we studied the effect of brain volume on fine motor skills. Methods: Participants were required to trace a template of a spiral on an...

Improving alignment in Tract-based spatial statistics: Evaluation and optimization of image registration

Anatomical alignment in neuroimaging studies is of such importance that considerable effort is put into improving the registration used to establish spatial correspondence. Tract-based spatial statistics (TBSS) is a popular method for comparing diffusion characteristics across subjects. TBSS establishes spatial correspondence using a combination...

The Thyroid Hormone Receptor Alpha Locus and White Matter Lesions: A Role for the Clock Gene REV-ERB?

Background: Thyroid disorders are associated with an increased risk of cognitive impairment and Alzheimer's disease. Both small vessel disease and neurodegeneration have a role in the pathogenesis of cognitive impairment and Alzheimer's disease. Thyroid hormone receptor alpha (TR?) is the predominant TR in brain. The circadian clock gene REV-ERB...