A5001521779- Dementia and Cognitive Impairment Research
- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Alzheimer's disease research and treatments
- Neurological Disease Mechanisms and Treatments
- Advanced MRI Techniques and Applications
- Cerebrospinal fluid and hydrocephalus
- Cerebrovascular and Carotid Artery Diseases
- Radiomics and Machine Learning in Medical Imaging
- Fetal and Pediatric Neurological Disorders
- Intracerebral and Subarachnoid Hemorrhage Research
- Health, Environment, Cognitive Aging
- Acute Ischemic Stroke Management
- Machine Learning in Healthcare
- MRI in cancer diagnosis
- Traumatic Brain Injury and Neurovascular Disturbances
- Frailty in Older Adults
- Radiology practices and education
- Cancer-related cognitive impairment studies
- Cardiovascular Health and Disease Prevention
- Bone and Joint Diseases
- Health Systems, Economic Evaluations, Quality of Life
- Ethics in Clinical Research
- Nutritional Studies and Diet
- Brain Tumor Detection and Classification
Copenhagen University Hospital
2023-2025
Rigshospitalet
2023-2025
Gentofte Hospital
2025
Amsterdam Neuroscience
2017-2024
University of Copenhagen
2024
Vrije Universiteit Amsterdam
2019-2024
Istituti di Ricovero e Cura a Carattere Scientifico
2024
IRCCS Istituto Auxologico Italiano
2024
Amsterdam University Medical Centers
2019-2023
Amsterdam UMC Location Vrije Universiteit Amsterdam
2019-2023
This article focuses on clinical applications of arterial spin labeling (ASL) and is part a wider effort from the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group to update expand recommendations provided 2015 ASL consensus paper. Although paper general guidelines MRI, there was lack guidance disease‐specific parameters. Since that time, availability demand MRI has increased. position provides using specific scenarios, including acute ischemic stroke...
Arterial spin labeling (ASL) has undergone significant development since its inception, with a focus on improving standardization and reproducibility of acquisition quantification. In community-wide effort towards robust reproducible clinical ASL image processing, we developed the software package ExploreASL, allowing standardized analyses across centers scanners. The procedures used in ExploreASL capitalize published processing advancements address challenges multi-center datasets...
<h3>Objective</h3> To develop and evaluate a model for staging cortical amyloid deposition using PET with high generalizability. <h3>Methods</h3> Three thousand twenty-seven individuals (1,763 cognitively unimpaired [CU], 658 impaired, 467 Alzheimer disease [AD] dementia, 111 non-AD 28 missing diagnosis) from 6 cohorts (European Medical Information Framework AD, Alzheimer9s Family, Biomarkers in Daily Practice, Amsterdam Dementia Cohort, Open Access Series of Imaging Studies [OASIS]-3,...
Abstract Background We classified non‐demented European Prevention of Alzheimer's Dementia (EPAD) participants through the amyloid/tau/neurodegeneration (ATN) scheme and assessed their neuropsychological imaging profiles. Materials methods From 1500 EPAD participants, 312 were excluded. Cerebrospinal fluid cut‐offs 1000 pg/mL for amyloid beta (Aß)1‐42 27 p‐tau181 validated using Gaussian mixture models. Given strong correlation p‐tau t‐tau (R 2 = 0.98, P < 0.001), neurodegeneration was...
Abstract Cortical accumulation of amyloid beta is one the first events Alzheimer’s disease pathophysiology, and has been suggested to follow a consistent spatiotemporal ordering, starting in posterior cingulate cortex, precuneus medio-orbitofrontal cortex. These regions overlap with those default mode network, brain network also involved memory functions. Aberrant functional connectivity higher sparsity have reported prodromal clinical disease. We investigated association between burden...
Amyloid-β accumulation starts in highly connected brain regions and is associated with functional connectivity alterations the early stages of Alzheimer's disease. This regional vulnerability related to high neuronal activity strong fluctuations typical these regions. Recently, dynamic was introduced investigate changes network organization over time. High variations indicate increased flexibility participate multiple subnetworks, promoting integration. Currently, only a limited number...
Imaging markers of cerebral small vessel disease provide valuable information on brain health, but their manual assessment is time-consuming and hampered by substantial intra- interrater variability. Automated rating may benefit biomedical research, as well clinical assessment, diagnostic reliability existing algorithms unknown. Here, we present the results VAscular Lesions DetectiOn Segmentation (Where VALDO?) challenge that was run a satellite event at international conference Medical...
Artificial Intelligence (AI) repeatedly match or outperform radiologists in lab experiments. However, real-world implementations of radiological AI-based systems are found to provide little no clinical value. This paper explores how design AI for usefulness different contexts. We conducted 19 sessions and interventions with 13 from 7 sites Denmark Kenya, based on three iterations a functional prototype. Ten sociotechnical dependencies were identified as crucial the radiology. conceptualised...
Understanding the sequence of biological and clinical events along course Alzheimer's disease provides insights into dementia pathophysiology can help participant selection in trials. Our objective is to train two data-driven computational models for sequencing these events, Event Based Model (EBM) discriminative-EBM (DEBM), on basis well-characterized research data, then validate trained subjects from cohorts characterized by less-structured data-acquisition protocols. Seven independent...
Abstract Introduction Amyloid beta (Aβ) accumulation is the first pathological hallmark of Alzheimer's disease (AD), and it associated with altered white matter (WM) microstructure. We aimed to investigate this relationship at a regional level in cognitively unimpaired cohort. Methods included 179 individuals from European Medical Information Framework for AD (EMIF‐AD) preclinAD study, who underwent diffusion magnetic resonance (MR) determine tract‐level fractional anisotropy (FA); mean,...
Accurate and realistic simulation of high-dimensional medical images has become an important research area relevant to many AI-enabled healthcare applications. However, current state-of-the-art approaches lack the ability produce satisfactory high-resolution accurate subject-specific images. In this work, we present a deep learning framework, namely 4D-Degenerative Adversarial NeuroImage Net (4D-DANI-Net), generate high-resolution, longitudinal MRI scans that mimic neurodegeneration in...
The European Prevention of Alzheimer Dementia (EPAD) is a multi-center study that aims to characterize the preclinical and prodromal stages Alzheimer's Disease. EPAD imaging dataset includes core (3D T1w, 3D FLAIR) advanced (ASL, diffusion MRI, resting-state fMRI) MRI sequences. Here, we give an overview semi-automatic multimodal multisite pipeline developed curate, preprocess, quality control (QC), compute image-derived phenotypes (IDPs) from dataset. This harmonizes DICOM data structure...
White matter hyperintensities (WMHs) have a heterogeneous aetiology, associated with both vascular risk factors and amyloidosis due to Alzheimer's disease. While spatial distribution of amyloid WM lesions carry important information for the underlying pathogenic mechanisms, regional relationship between these two pathologies their joint contribution early cognitive deterioration remains largely unexplored. We included 662 non-demented participants from three Amyloid Imaging Prevent disease...
Vascular risk factors (VRFs) and cerebral small vessel disease (cSVD) are common in patients with Alzheimer (AD). It remains unclear whether this coexistence reflects shared or a mechanistic relationship vascular amyloid pathologies have independent synergistic influence on subsequent AD pathophysiology preclinical stages. We investigated links between VRFs, cSVD, levels (Aβ1-42) their combined effect downstream biomarkers, that is, CSF hyperphosphorylated tau (P-tau181), atrophy, cognition....
Background: Machine learning methods for clinical assistance require a large number of annotations from trained experts to achieve optimal performance. Previous work in natural language processing has shown that it is possible automatically extract the free-text reports associated with chest X-rays. Methods: This study investigated techniques 49 labels hierarchical tree structure X-ray written Danish. The were extracted approximately 550,000 by performing multi-class, multi-label...
Objective: Reliable reading and annotation of chest X-ray (CXR) images are essential for both clinical decision-making AI model development. While most the literature emphasizes pulmonary findings, this study evaluates consistency reliability annotations extrapulmonary using a labelling scheme. Methods: Six clinicians with varying experience levels (novice, intermediate, experienced) annotated 100 CXR diagnostic scheme, in two rounds, separated by three-week washout period. Annotation was...
The cognitive-functional composite (CFC) was designed to improve the measurement of clinically relevant changes in predementia and early dementia stages. We have previously demonstrated its good test-retest reliability feasibility use. current study aimed evaluate several quality aspects CFC, including construct validity, clinical relevance, suitability for target population. Baseline data Capturing Changes Cognition used: an international, prospective cohort participants with subjective...
The number of APOE-ε4 alleles is a major nonmodifiable risk factor for sporadic Alzheimer disease (AD). There increasing evidence on the benefits dietary DHA (22:6n-3) before onset AD symptoms, particularly in carriers. Brain alterations preclinical stage can be detected by structural MRI.We aimed, middle-aged cognitively unimpaired individuals at increased AD, to cross-sectionally investigate whether intake relates cognitive performance and MRI-based markers cerebral small vessel AD-related...
Several studies have shown decreased cerebral blood flow (CBF) in Alzheimer’s disease (AD). However, the role of hypoperfusion pathogenesis remains unclear. Combining arterial spin labeling MRI, PET, and CSF biomarkers, we investigated associations between gray matter (GM)-CBF key mechanisms AD including amyloid-β (Aβ) tau pathology, synaptic axonal degeneration. Further, applied a progression modeling to characterize temporal sequence different biomarkers. Lower perfusion was observed...
Positive associations between cerebral microbleeds (CMBs) and APOE-ε4 (apolipoprotein E) genotype have been reported in Alzheimer's disease, but show conflicting results. We investigated the effect of APOE on CMBs a cohort cognitively unimpaired middle- old-aged individuals enriched for genotype. Participants from ALFA (Alzheimer Families) were included their magnetic resonance scans assessed (n = 564, 50% carriers). Quantitative analyses visual ratings, atrophy measures, white matter...
The medial temporal lobe atrophy (MTA) and the posterior (PA) scales allow to assess degree hippocampal parietal from magnetic resonance imaging (MRI) scans. Despite reliable, easy widespread employment, appropriate normative values are still missing. We aim provide norms for Italian population. Two independent raters assigned highest MTA PA score between hemispheres, based on 3D T1-weighted MRI of 936 Brain Normative Archive subjects (age: mean ± SD: 50.2 14.7, range: 20–84; MMSE>26 or CDR...
Abstract Background Recruitment is often a bottleneck in secondary prevention trials Alzheimer disease (AD). Furthermore, screen-failure rates these are typically high due to relatively low prevalence of AD pathology individuals without dementia, especially among cognitively unimpaired. Prescreening on risk factors may facilitate recruitment, but the efficiency will depend how link participation and pathology. We investigated whether common AD-related predict trial-ready cohort amyloid...