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Subclinical liver traits are associated with structural and hemodynamic brain imaging markers

Yilmaz, Pinar (author), Alferink, Louise J.M. (author), Cremers, Lotte G.M. (author), Murad, Sarwa D. (author), Niessen, W.J. (author), Ikram, M. Arfan (author), Vernooij, Meike W. (author)

Background & Aims: Impaired liver function affects brain health and therefore understanding potential mechanisms for subclinical liver disease is essential. We assessed the liver–brain associations using liver measures with brain imaging markers, and cognitive measures in the general population. Methods: Within the population-based...

journal article 2023

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Cross-Sectional Validation of a Novel Computed Tomography-Based Carotid Mean Calcium Density Measurement

Cahalane, R.M.E. (author), Akyildiz, A.C. (author), Kavousi, Maryam (author), Vernooij, Meike W. (author), Ikram, M. Kamran (author), Gijsen, F.J.H. (author), Bos, Daniel (author)

Background The purpose of this study was to validate a technique for measuring mean calcium density and to determine associations of cardiovascular risk factors with carotid calcium density. Methods and Results We performed a cross-sectional study in a random sample of 100 stroke-free participants from the population-based Rotterdam Study....

journal article 2023

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Derivations and KMS-Symmetric Quantum Markov Semigroups

Vernooij, M.N.A. (author), Wirth, Melchior (author)

We prove that the generator of the L² implementation of a KMS-symmetric quantum Markov semigroup can be expressed as the square of a derivation with values in a Hilbert bimodule, extending earlier results by Cipriani and Sauvageot for tracially symmetric semigroups and the second-named author for GNS-symmetric semigroups. This...

journal article 2023

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Morphological Subtypes of Intracranial Internal Carotid Artery Arteriosclerosis and the Risk of Stroke

Van Den Beukel, Tim C. (author), Van Der Toorn, Janine E. (author), Vernooij, Meike W. (author), Kavousi, Maryam (author), Akyildiz, A.C. (author), De Jong, Pim A. (author), Van Der Lugt, Aad (author), Ikram, M. Kamran (author), Bos, Daniel (author)

Background: Accumulating evidence highlights the existence of distinct morphological subtypes of intracranial carotid arteriosclerosis. So far, little is known on the prevalence of these subtypes and subsequent stroke risk in the general population. We determined the prevalence of morphological subtypes of intracranial arteriosclerosis and...

journal article 2022

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Resistance to developing brain pathology due to vascular risk factors: the role of educational attainment

van Arendonk, Joyce (author), Yilmaz, Pinar (author), Steketee, Rebecca (author), Zijlmans, Jendé L. (author), Lamballais, Sander (author), Niessen, W.J. (author), Neitzel, Julia (author), Ikram, M. Arfan (author), Vernooij, Meike W. (author)

Brain pathology develops at different rates between individuals with similar burden of risk factors, possibly explained by brain resistance. We examined if education contributes to brain resistance by studying its influence on the association between vascular risk factors and brain pathology. In 4111 stroke-free and dementia-free community...

journal article 2021

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

Venkatraghavan, Vikram (author), Vinke, Elisabeth J. (author), Bron, Esther E. (author), Niessen, W.J. (author), Arfan Ikram, M. (author), Klein, S. (author), Vernooij, Meike W. (author)

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...

journal article 2021

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Longitudinal diffusion MRI analysis using Segis-Net: A single-step deep-learning framework for simultaneous segmentation and registration

Li, Bo (author), Niessen, W.J. (author), Klein, Stefan (author), de Groot, Marius (author), Ikram, M. Arfan (author), Vernooij, Meike W. (author), Bron, Esther E. (author)

This work presents a single-step deep-learning framework for longitudinal image analysis, coined Segis-Net. To optimally exploit information available in longitudinal data, this method concurrently learns a multi-class segmentation and nonlinear registration. Segmentation and registration are modeled using a convolutional neural network and...

journal article 2021

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Differences Between MR Brain Region Segmentation Methods: Impact on Single-Subject Analysis

Huizinga, W. (author), Poot, D.H.J. (author), Vinke, E. J. (author), Wenzel, F. (author), Bron, E. E. (author), Ikram, M. A. (author), Niessen, W.J. (author), Vernooij, M.N.A. (author), Klein, S. (author)

For the segmentation of magnetic resonance brain images into anatomical regions, numerous fully automated methods have been proposed and compared to reference segmentations obtained manually. However, systematic differences might exist between the resulting segmentations, depending on the segmentation method and underlying brain atlas. This...

journal article 2021

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Predicting Global Cognitive Decline in the General Population Using the Disease State Index

Cremers, Lotte G.M. (author), Huizinga, Wyke (author), Niessen, W.J. (author), Krestin, Gabriel P. (author), Poot, D.H.J. (author), Ikram, M. Arfan (author), Lötjönen, Jyrki (author), Klein, S. (author), Vernooij, Meike W. (author)

Background: Identifying persons at risk for cognitive decline may aid in early detection of persons at risk of dementia and to select those that would benefit most from therapeutic or preventive measures for dementia. Objective: In this study we aimed to validate whether cognitive decline in the general population can be predicted with...

journal article 2020

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Weakly supervised object detection with 2D and 3D regression neural networks

Dubost, Florian (author), Adams, Hieab (author), Yilmaz, Pinar (author), Bortsova, Gerda (author), Tulder, Gijs van (author), Ikram, M. Arfan (author), Niessen, W.J. (author), Vernooij, Meike W. (author), Bruijne, Marleen de (author)

Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during optimization, the automated method cannot access information about the location of the lesions nor is given single examples of the lesions. We propose a new weakly supervised detection method...

journal article 2020

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Neuro4Neuro: A neural network approach for neural tract segmentation using large-scale population-based diffusion imaging

Li, Bo (author), de Groot, Marius (author), Steketee, Rebecca M.E. (author), Meijboom, Rozanna (author), Smits, Marion (author), Vernooij, Meike W. (author), Ikram, M. Arfan (author), Liu, Jiren (author), Niessen, W.J. (author)

Subtle changes in white matter (WM) microstructure have been associated with normal aging and neurodegeneration. To study these associations in more detail, it is highly important that the WM tracts can be accurately and reproducibly characterized from brain diffusion MRI. In addition, to enable analysis of WM tracts in large datasets and in...

journal article 2020

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Orientation Prior and Consistent Model Selection Increase Sensitivity of Tract-Based Spatial Statistics in Crossing-Fiber Regions

Arkesteijn, G.A.M. (author), Poot, D.H.J. (author), Ikram, M.A. (author), Niessen, W.J. (author), van Vliet, L.J. (author), Vernooij, M.W. (author), Vos, F.M. (author)

The goal of this paper is to increase the statistical power of crossing-fiber statistics in voxelwise analyses of diffusion-weighted magnetic resonance imaging (DW-MRI) data. In the proposed framework, a fiber orientation atlas and a model complexity atlas were used to fit the ball-and-sticks model to diffusion-weighted images of subjects in...

journal article 2019

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Enlarged perivascular spaces in brain MRI: Automated quantification in four regions

Dubost, Florian (author), Yilmaz, Pinar (author), Adams, Hieab (author), Bortsova, Gerda (author), Ikram, M. Arfan (author), Niessen, W.J. (author), Vernooij, Meike (author), de Bruijne, Marleen (author)

Enlarged perivascular spaces (PVS) are structural brain changes visible in MRI, are common in aging, and are considered a reflection of cerebral small vessel disease. As such, assessing the burden of PVS has promise as a brain imaging marker. Visual and manual scoring of PVS is a tedious and observer-dependent task. Automated methods would...

journal article 2019

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Genetic variation underlying cognition and its relation with neurological outcomes and brain imaging

Knol, Maria J. (author), Heshmatollah, Alis (author), Cremers, Lotte G.M. (author), Ikram, M. Kamran (author), Uitterlinden, André G. (author), van Duijn, Cornelia M. (author), Niessen, W.J. (author), Vernooij, Meike W. (author), Ikram, M. Arfan (author), Adams, Hieab H.H. (author)

Cognition in adults shows variation due to developmental and degenerative components. A recent genomewide association study identified genetic variants for general cognitive function in 148 independent loci. Here, we aimed to elucidate possible developmental and neurodegenerative pathways underlying these genetic variants by relating them to...

journal article 2019

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Detection of mild cognitive impairment in a community-dwelling population using quantitative, multiparametric MRI-based classification

Bouts, Mark J.R.J. (author), van der Grond, Jeroen (author), Vernooij, Meike W. (author), Koini, Marisa (author), Schouten, T.M. (author), de Vos, Frank (author), Feis, Rogier A. (author), Lechner, Anita (author), Niessen, W.J. (author)

Early and accurate mild cognitive impairment (MCI) detection within a heterogeneous, nonclinical population is needed to improve care for persons at risk of developing dementia. Magnetic resonance imaging (MRI)-based classification may aid early diagnosis of MCI, but has only been applied within clinical cohorts. We aimed to determine the...

journal article 2019

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The value of hippocampal volume, shape, and texture for 11-year prediction of dementia: a population-based study

Achterberg, Hakim C. (author), Sørensen, Lauge (author), Wolters, Frank J. (author), Niessen, W.J. (author), Vernooij, Meike W. (author), Ikram, M. Arfan (author), Nielsen, Mads (author), de Bruijne, Marleen (author)

Hippocampal volume and shape are known magnetic resonance imaging biomarkers of neurodegeneration. Recently, hippocampal texture has been shown to improve prediction of dementia in patients with mild cognitive impairment, but it is unknown whether texture adds prognostic information beyond volume and shape and whether the predictive value...

journal article 2019

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Trajectories of imaging markers in brain aging: the Rotterdam Study

Vinke, Elisabeth J. (author), de Groot, Marius (author), Venkatraghavan, Vikram (author), Klein, S. (author), Niessen, W.J. (author), Ikram, M. Arfan (author), Vernooij, Meike W. (author)

With aging, the brain undergoes several structural changes. These changes reflect the normal aging process and are therefore not necessarily pathologic. In fact, better understanding of these normal changes is an important cornerstone to also disentangle pathologic changes. Several studies have investigated normal brain aging, both cross...

journal article 2018

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GENETIC VARIATION UNDERLYING COGNITION AND ITS RELATION WITH NEUROLOGICAL OUTCOMES

Kool, Maria J. (author), Cremers, Lotte G.M. (author), Heshmatollah, Alis (author), Ikram, M. Kamran (author), Uiterlinden, Andre G. (author), van Duijn, Cornelia M. (author), Niessen, W.J. (author), Vernooij, Meike W. (author), Arfan Ikram, M. (author), Adams, Hieab H.H. (author)

journal article 2018

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Age-dependent association of thyroid function with brain morphology and microstructural organization: Evidence from brain imaging

Chaker, Layal (author), Cremers, Lotte G M (author), Korevaar, Tim I.M. (author), De Groot, Marius (author), Dehghan, Abbas (author), Franco, Oscar H. (author), Niessen, W.J. (author), Ikram, M. Arfan (author), Peeters, Robin P. (author), Vernooij, Meike W. (author)

Thyroid hormone (TH) is crucial during neurodevelopment, but high levels of TH have been linked to neurodegenerative disorders. No data on the association of thyroid function with brain imaging in the general population are available. We therefore investigated the association of thyroid-stimulating hormone and free thyroxine (FT4) with...

journal article 2018

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A spatio-temporal reference model of the aging brain

huizinga, w (author), Poot, D.H.J. (author), Vernooij, Meike W. (author), Roshchupkin, G.V. (author), bron, E.E. (author), Ikram, M.A. (author), Rueckert, D. (author), Niessen, W.J. (author), Klein, S. (author)

Both normal aging and neurodegenerative disorders such as Alzheimer's disease (AD) cause morphological changes of the brain. It is generally difficult to distinguish these two causes of morphological change by visual inspection of magnetic resonance (MR) images. To facilitate making this distinction and thus aid the diagnosis of...

journal article 2018