A5063368462- Dementia and Cognitive Impairment Research
- Chronic Disease Management Strategies
- Advanced Neuroimaging Techniques and Applications
- Cardiovascular Health and Disease Prevention
- Functional Brain Connectivity Studies
- MRI in cancer diagnosis
- Nutritional Studies and Diet
- Advanced MRI Techniques and Applications
- Cerebrovascular and Carotid Artery Diseases
- Diabetes Management and Education
- Artificial Intelligence in Healthcare
- Neurobiology of Language and Bilingualism
- Blood Pressure and Hypertension Studies
- Health, Environment, Cognitive Aging
- Cardiac Health and Mental Health
- Child and Animal Learning Development
- Machine Learning in Healthcare
- Ethics in Clinical Research
- Health disparities and outcomes
- Mental Health and Patient Involvement
- Health, psychology, and well-being
- Acute Ischemic Stroke Management
- Memory Processes and Influences
- Mental Health Research Topics
- Cerebrospinal fluid and hydrocephalus
University Medical Center Utrecht
2021-2025
Utrecht University
2021-2025
Maastricht University
2021-2025
Geneeskundige en Gezondheidsdienst
2024
Maastricht University Medical Centre
2024
Google (United States)
2023
Quality control of brain segmentation is a fundamental step to ensure data quality. Manual quality strategies are the current gold standard, although these may be unfeasible for large neuroimaging samples. Several options automated have been proposed, providing potential time efficient and reproducible alternatives. However, those never compared side side, which prevents consensus in appropriate strategy use. This study aimed elucidate changes manual editing segmentations produce...
Establishing collaborations between cohort studies has been fundamental for progress in health research. However, such are hampered by heterogeneous data representations across cohorts and legal constraints to sharing. The first arises from a lack of consensus standards collection representation is usually tackled applying harmonization processes. second increasingly important due raised awareness privacy protection stricter regulations, as the GDPR. Federated learning emerged...
Aggregation of cohort data increases precision for studying neurodegenerative disease pathways, but efforts to combine and expertise are often hampered by infrastructural, ethical legal considerations. We aimed unite various studies in the Netherlands enhance research infrastructure facilitate on dementia etiology its public health implications. The Consortium Dementia Cohorts (NCDC) includes participants with initially no established cognitive impairment from 9 Dutch cohorts: Amsterdam...
Social network characteristics may provide a novel non-pharmaceutical target for the prevention of depression. We investigated temporal association broad range structural and functional social with incident depressive symptoms over 5 years follow-up. used data from The Maastricht Study, population-based prospective cohort study (n=2,465, mean age 59.8±8.1 years, 49.1% women, 11,585 person-years follow-up). were assessed through name generator questionnaire. Clinically relevant (9-item...
Microvascular dysfunction is involved in the development of various cerebral disorders. It may contribute to these disorders by disrupting white matter tracts and altering brain connectivity, but evidence scarce. We investigated association between multiple biomarkers microvascular function whole-brain connectivity.
Abstract Decentralized clinical trials (DCTs), in which all or part of the trial activities are moved to participants' immediate surroundings, promise improve conduct. However, no evidence is available on what motivates people participate DCTs. Our aim was determine drivers and perceptions for participation with different decentralization levels persons type 2 diabetes mellitus. Five focus groups were conducted utilizing nominal group technique Netherlands ( n = 1), Germany Austria 3) four...
In this study, we aim to understand whether and how performance in animal fluency (i.e., total correct word count) relates linguistic levels and/or executive functions by looking at sequence information item-level metrics clusters, switches, properties).
Objectives Semantic fluency is a prominent neuropsychological task, typically administered within the category ‘animals’. With increasing development of novel item-level metrics semantic fluency, concern around validity analyses could be that personal background factors (e.g., hobbies like birdwatching or fishing) may disproportionally influence performance. We analyzed animal performance at item level and investigated prevalence individuals with abundant knowledge in specific classes...
Background: Establishing collaborations between cohort studies has been fundamental for progress in health research. However, such are hampered by heterogeneous data representations across cohorts and legal constraints to sharing. The first arises from a lack of consensus standards collection representation is usually tackled applying harmonization processes. second increasingly important due raised awareness privacy protection stricter regulations, as the GDPR. Federated learning emerged...
We aimed to estimate the association of age, education, and sex/gender with semantic fluency performance as measured by standard total number words well novel item-level metrics descriptively compare associations across cohorts different recruitment strategies sample compositions.
<title>Abstract</title> Biological age scores are an emerging tool to characterize aging by estimating chronological based on physiological biomarkers. Various have shown associations with aging-related outcomes. This study assessed the relation between score brain MRI images (BrainAge) and metabolomic biomarkers (MetaboAge). We trained a federated deep learning model estimate BrainAge in three cohorts. The yielded significantly lower error for prediction across cohorts than locally models....
Biological age scores are an emerging tool to characterize aging by estimating chronological based on physiological biomarkers. Various have shown associations with aging-related outcomes. This study assessed the relation between score brain MRI images (BrainAge) and metabolomic biomarkers (MetaboAge). We trained a federated deep learning model estimate BrainAge in three cohorts. The yielded significantly lower error for prediction across cohorts than locally models. Harmonizing interval...
ABSTRACT Background Quality control of brain segmentation is a fundamental step to ensure data quality. Manual quality the current gold standard, despite unfeasible in large neuroimaging samples. Several options for automated have been proposed, providing potential time efficient and reproducible alternatives. However, those never compared side side, which prevents reach consensus appropriate QC strategy use. This study aims elucidate changes manual editing segmentations produce...
Abstract Background The need persists for sensitive, low‐cost, and high‐access cognitive markers to complement biomarker information in the earliest stages of Alzheimer’s disease. Sensitive may be derived from at item level neuropsychological tests. We investigated if item‐level metrics add beyond total score relationship semantic fluency—generating as many words possible a category given time frame—to cortical thinning across eight years middle‐aged older adults without dementia. Method...
Abstract Background Microvascular dysfunction may contribute to the development of various cerebral disorders, including cognitive dysfunction, dementia, and certain forms depression. The suggested mechanism through which microvascular contributes these disorders is by disrupting white matter tracts altering brain connectivity, but evidence scarce. We investigated association between multiple biomarkers function connectivity. Method used cross‐sectional data from Maastricht Study, a Dutch...