Rutger Heinen

ORCID: 0000-0003-4094-7509
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About
Contact & Profiles
Research Areas
  • Dementia and Cognitive Impairment Research
  • Acute Ischemic Stroke Management
  • Advanced Neuroimaging Techniques and Applications
  • Cerebrovascular and Carotid Artery Diseases
  • Neurological Disease Mechanisms and Treatments
  • Intracranial Aneurysms: Treatment and Complications
  • Functional Brain Connectivity Studies
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Brain Tumor Detection and Classification
  • Neural and Behavioral Psychology Studies
  • Advanced MRI Techniques and Applications
  • Medical Image Segmentation Techniques
  • Intensive Care Unit Cognitive Disorders
  • Traumatic Brain Injury and Neurovascular Disturbances
  • Neurological and metabolic disorders
  • Stroke Rehabilitation and Recovery
  • Neurobiology of Language and Bilingualism
  • Alzheimer's disease research and treatments
  • Retinal Imaging and Analysis

Utrecht University
2018-2022

University Medical Center Utrecht
2013-2022

OLVG
2019

University College London
2019

Amsterdam Neuroscience
2019

Amsterdam University Medical Centers
2019

Vrije Universiteit Amsterdam
2019

Hersenstichting
2017

Quantification of cerebral white matter hyperintensities (WMH) presumed vascular origin is key importance in many neurological research studies. Currently, measurements are often still obtained from manual segmentations on brain MR images, which a laborious procedure. Automatic WMH segmentation methods exist, but standardized comparison the performance such lacking. We organized scientific challenge, developers could evaluate their method multi-center/-scanner image dataset, giving an...

10.1109/tmi.2019.2905770 article EN publisher-specific-oa IEEE Transactions on Medical Imaging 2019-03-19

Pooling of multicenter brain imaging data is a trend in studies on ageing related diseases. This poses challenges to MR-based segmentation. The performance across different field strengths three widely used automated methods for volume measurements was assessed the present study.Ten subjects (mean age: 64 years) were scanned 1.5T and 3T MRI same day. We determined robustness strength (i.e., whether measured volumes between scans similar) SPM12, Freesurfer 5.3.0 FSL 5.0.7. As frame reference,...

10.1371/journal.pone.0165719 article EN cc-by PLoS ONE 2016-10-31

Abstract White matter hyperintensities (WMHs) are a common manifestation of cerebral small vessel disease, that is increasingly studied with large, pooled multicenter datasets. This data pooling increases statistical power, but poses challenges for automated WMH segmentation. Although there extensive literature on the evaluation segmentation methods, such evaluations in setting lacking. We performed segmentations sixty patients scanned six different magnetic resonance imaging (MRI) scanners...

10.1038/s41598-019-52966-0 article EN cc-by Scientific Reports 2019-11-14

Background and Purpose— Aneurysmal subarachnoid hemorrhage (aSAH) may have detrimental effects on white matter microstructure, which in turn explain the cognitive impairments that occur often after aSAH. We investigated (1) whether microstructure is altered patients with aSAH compared an unruptured intracranial aneurysm (2) these abnormalities are associated impairment 3 months ictus. Methods— Forty-nine 22 underwent 3T brain magnetic resonance imaging, including a high-resolution diffusion...

10.1161/strokeaha.118.021622 article EN Stroke 2018-09-01

Mechanisms underlying cognitive impairment in patients with small vessel disease (SVD) are still unknown. We hypothesized that cognition is affected by the cumulative effect of multiple SVD-related lesions on brain connectivity. therefore assessed relationship between total SVD burden MRI, global network efficiency, and memory clinic vascular injury. 173 from University Medical Center Utrecht underwent a 3 T MRI scan (including diffusion sequences) neuropsychological testing. markers for...

10.1016/j.nicl.2018.06.025 article EN cc-by-nc-nd NeuroImage Clinical 2018-01-01

To determine the occurrence of acute cerebral microinfarcts (ACMIs) in memory clinic patients and relate their presence to vascular risk cognitive profile, CSF neuroimaging markers, clinical outcome.The TRACE-VCI study is a cohort with brain injury on MRI (i.e., possible impairment [VCI]). We included 783 (mean age 67.6 ± 8.5, 46% female) available 3T diffusion-weighted imaging (DWI). ACMIs were defined as supratentorial DWI hyperintensities <5 mm corresponding hypo/isointense apparent...

10.1212/wnl.0000000000007250 article EN Neurology 2019-03-09

Type 2 diabetes mellitus (T2DM) increases the risk of vascular cognitive impairment (VCI). It is unknown which type lesions and co-morbid etiologies, in particular Alzheimer's disease pathology, are associated with T2DM patients VCI, how this relates to cognition prognosis.To compare brain MRI cerebrospinal fluid (CSF) markers, cognition, prognosis possible VCI without T2DM.We included 851 memory clinic injury on (i.e., VCI) from a prospective cohort study (T2DM: n = 147, 68.4±7.9 years, 63%...

10.3233/jad-180914 article EN Journal of Alzheimer s Disease 2019-02-12

Deficits in copying ("constructional apraxia") is generally defined as a multifaceted deficit. The exact neural correlates of the different types errors are unknown. To assess whether categories on pentagon drawing relate to correlates, we examined drawings MMSE persons with subjective cognitive complaints, mild impairment, or early dementia due Alzheimer's disease. We adopted qualitative scoring method for copy test (QSPT) which categorizes possible rather than dichotomous "correct"...

10.1159/000491634 article EN cc-by-nc-nd Dementia and Geriatric Cognitive Disorders 2018-01-01

Introduction We aimed to establish sex differences in vascular brain damage of memory clinic patients with possible cognitive impairment (VCI). Methods A total 860 (aged 67.7 ± 8.5; 46% female) complaints and (ie, VCI) from the prospective TRACE-VCI (Utrecht-Amsterdam Clinical Features Prognosis Vascular Cognitive Impairment) cohort study 2-year follow-up were included. Age-adjusted female-to-male calculated general linear models, for demographic variables, risk factors, clinical diagnosis,...

10.1002/dad2.12090 article EN cc-by-nc-nd Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2020-01-01

It is unknown whether different types of small vessel disease (SVD), differentially relate to brain atrophy and if co-occurring Alzheimer's pathology affects this relation.In 725 memory clinic patients with SVD (mean age 67 ± 8 years, 48% female) we compared volumes those moderate/severe white matter hyperintensities (WMHs; n = 326), lacunes (n 132) cerebral microbleeds 321) a reference group mild WMHs 197), also considering cerebrospinal fluid (CSF) amyloid status in subset 488).WMHs...

10.1002/dad2.12060 article EN cc-by-nc-nd Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring 2020-01-01

Abstract In cerebral small vessel disease (cSVD), whole brain MRI markers of cSVD-related injury explain limited variance to support individualized prediction. Here, we investigate whether considering abnormalities in tracts by integrating multimodal metrics from diffusion (dMRI) and structural (sMRI), can better capture cognitive performance cSVD patients than established approaches based on markers. We selected 102 (73.7 ± 10.2 years old, 59 males) with MRI-visible SVD lesions both sMRI...

10.1007/s00429-022-02546-2 article EN cc-by Brain Structure and Function 2022-08-22

Cerebral small vessel disease (CSVD) occurs often in memory clinic patients. Apart from cognitive deficits, these patients can express physical decline, which predicts adverse health outcomes. In this study, we investigated the cooccurrence of clinically relevant impairments performance and CSVD We included 131 with vascular brain injury, mild impairment or Alzheimer available 3T MRI scores. was visually rated according to 3 subtypes as a total burden score, composed presence white matter...

10.1097/wad.0000000000000233 article EN Alzheimer Disease & Associated Disorders 2017-12-14

Background and purpose: Cerebral microinfarcts (CMIs) are associated with cognitive impairment dementia. CMIs might affect performance through disruption of cerebral networks. We investigated in memory clinic patients whether cortical clustered specific brain regions if presence is reduced white matter (WM) connectivity tracts projecting to these regions. Methods: 164 vascular injury a mean age 72 ± 11 years (54 % male) were included. All underwent 3 tesla MRI, including diffusion MRI...

10.3389/fneur.2019.00571 article EN cc-by Frontiers in Neurology 2019-06-05

&lt;b&gt;&lt;i&gt;Background:&lt;/i&gt;&lt;/b&gt; Patients with transient ischaemic attacks (TIAs) or minor disabling stroke associated an internal carotid artery (ICA) occlusion have a high risk of recurrent in case compromised cerebral blood flow. Recent studies showed that increased oxygen extraction fraction measured by positron emission tomography (PET) is still independent predictor subsequent under current medical treatment, but PET facilities are not widely available. Transcranial...

10.1159/000356349 article EN Cerebrovascular Diseases 2013-12-17

Memory clinic patients frequently present with different forms of vascular brain injury due to etiologies, often co-occurring Alzheimer's disease (AD) pathology.We studied how cognition was affected by injury, possibly in interplay AD included 860 memory on magnetic resonance imaging (MRI), receiving a standardized evaluation including cerebrospinal fluid (CSF) biomarker analyses (n = 541). The cognitive profile MRI (moderate/severe white matter hyperintensities (WMH) 398), microbleeds 368),...

10.3233/jad-180696 article EN Journal of Alzheimer s Disease 2019-03-19
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