Publications Database

Study Abstract: Sub-millimeter functional imaging at ultrahigh field (UHF) strengths has the potential to capture cortical layer-specific functional information flow within and across brain systems. Recent sequence advancements of fMRI signal readout and contrast generations resulted in wide adaptation of layer-fMRI protocols across the global UHF neuroimaging community [...]

Mutations in the leucine-rich repeat kinase 2 ( LRRK2 ) gene are the most frequent cause of familial Parkinson's disease (PD). The incomplete penetrance of LRRK2 mutations suggest that additional hits are required for disease onset. [...]

This dataset consists of subject characteristics and objective measures of the Timed Up and Go test as measured with the DynaPort® Hybrid® and analysed using McRoberts software..

We describe here a time-efficient, in-house protocol for synaptosome isolation and enrichment of the post-synaptic density (PSD) from hiPSC-derived motor neurons. By using biochemical sub-cellular fractionation, the crude synaptosome is first isolated from the cytosol and is then further separated into the synaptic cytosol and the enriched PSD fraction. [...]

Abstract: Cognitive sequelae after recovery from an initial COVID-19 disease are present in a subset of affected individuals, coalescing around several important issues such as effects of age, COVID-19 disease severity, comorbidities, and other factors. Some neuropsychological symptoms appear more common among certain patient populations. [...]

Social robots are increasingly used in the care of older adults, including people living with dementia. An important prerequisite for effective use is knowledge about which factors facilitate and hinder the acceptance of social robots. [...]

Cognitive impairment is a prominent symptom of the post-COVID syndrome (PCS). However, the correspondence between subjective cognitive complaints (SCC) and objective results is inconsistent. [...]

Causal structure learning (CSL) refers to the estimation of causal graphs from data. Causal versions of tools such as ROC curves play a prominent role in empirical assessment of CSL methods and performance is often compared with “random” baselines (such as the diagonal in an ROC analysis). [...]

According to the cognitive-reserve concept, higher educated dementia patients tolerate more brain pathology than lower educated patients with similar impairment. Here, we examined whether higher education is associated with more severe dopamine terminal loss at the diagnosis of Parkinson's disease (PD).Dopamine transporter (DaT) SPECT information of 352 de novo PD patients and 172 healthy controls (HC) were retrieved from PPMI. [...]

Deep learning approaches are playing an ever-increasing role throughout diagnostic medicine, especially in neuroradiology, to solve a wide range of problems such as segmentation, synthesis of missing sequences, and image quality improvement. Of particular interest is their application in the reduction of gadolinium-based contrast agents, the administration of which has been under cautious reevaluation in recent years because of concerns about gadolinium deposition and its unclear long-term consequences. [...]