- Advanced Neuroimaging Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Sleep and Wakefulness Research
- Glioma Diagnosis and Treatment
- Sleep and related disorders
- Schizophrenia research and treatment
- Sleep and Work-Related Fatigue
- Medical Imaging Techniques and Applications
- Attention Deficit Hyperactivity Disorder
- Noise Effects and Management
- Acute Ischemic Stroke Management
- Medical Image Segmentation Techniques
- Neonatal and fetal brain pathology
- Heart Rate Variability and Autonomic Control
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Mental Health Research Topics
- Family Support in Illness
- Reinforcement Learning in Robotics
- Cerebrovascular and Carotid Artery Diseases
- Child Welfare and Adoption
- Endometrial and Cervical Cancer Treatments
- Mind wandering and attention
Amsterdam University Medical Centers
2022-2024
Radboud University Medical Center
2024
Radboud University Nijmegen
2024
University of Amsterdam
2024
Amsterdam Neuroscience
2024
Oslo University Hospital
2014-2023
Sykehuset i Vestfold
2021-2023
University of Oslo
2013-2018
Response to antidepressant treatment in major depressive disorder varies substantially between individuals, which lengthens the process of finding effective treatment. The authors sought determine whether a multimodal machine learning approach could predict early sertraline response patients with disorder. They assessed predictive contribution MR neuroimaging and clinical assessments at baseline after 1 week
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...
Nondirective meditation techniques are practiced with a relaxed focus of attention that permits spontaneously occurring thoughts, images, sensations, memories, and emotions to emerge pass freely, without any expectation mind wandering should abate. These thought facilitate mental processing emotional experiences, thereby contributing wellness stress management. The present study assessed brain activity by functional magnetic resonance imaging (fMRI) in 14 experienced practitioners Acem two...
Background Elucidating the neurobiological effects of sleep and waking remains an important goal neurosciences. Recently, animal studies indicated that is for cell membrane myelin maintenance in brain these structures are particularly susceptible to insufficient sleep. Here, we tested hypothesis a day deprivation would be associated with changes diffusion tensor imaging (DTI) indices white matter microstructure sensitive axonal alterations. Methods Twenty-one healthy adult males underwent...
Purpose To test for measurable visual enhancement of the dentate nucleus (DN) on unenhanced T1-weighted magnetic resonance (MR) images in a cohort patients with primary brain tumor who had not received linear gadolinium-based contrast agents (GBCAs) but many injections macrocyclic GBCAs. Materials and Methods Seventeen high-grade gliomas 10–44 administrations GBCA gadobutrol (0.1 mmol/kg body weight) were retrospectively included this regional ethics committee–approved study. Two...
Although numerous children receive methylphenidate hydrochloride for the treatment of attention-deficit/hyperactivity disorder (ADHD), little is known about age-dependent and possibly lasting effects on human dopaminergic system.To determine whether system are modified by age to test hypothesis that young but not adult patients with ADHD induces cerebral blood flow response dopamine challenge, a noninvasive probe function.A randomized, double-blind, placebo-controlled trial (Effects...
Abstract Radiomics in neuroimaging uses fully automatic segmentation to delineate the anatomical areas for which radiomic features are computed. However, differences among these methods affect an unknown extent. A scan-rescan dataset (n = 46) of T1-weighted and diffusion tensor images was used. Subjects were split into a sleep-deprivation control group. Scans segmented using four from First, we measured agreement Dice-coefficient. Second, robustness reproducibility intraclass correlation...
Recently, several magnetic resonance imaging (MRI) studies have reported time-of-day effects on brain structure and function. Due to the possibility that reflect mechanisms of circadian regulation, aim this prospective study was assess these while under strict experimental control variables might influence biological clocks, such as caffeine intake exposure blue-emitting light. In addition, current assessed whether were driven by changes extracellular space, including estimations...
Sleep deprivation influences several critical functions, yet how it affects human brain white matter (WM) is not well understood. The aim of the present work was to investigate effect 32 hours sleep on WM microstructure compared changes observed in a normal sleep-wake cycle (SWC). To this end, we utilised diffusion weighted imaging (DWI) including tensor model, kurtosis and spherical mean technique, novel biophysical model. 46 healthy adults (23 deprived vs 23 with SWC) underwent DWI across...
Purpose To study the potential of diffusion tensor imaging (DTI) to serve as a biomarker for radiation‐induced brain injury during chemo‐radiotherapy (RT) treatment. Materials and Methods Serial DTI data were collected from 18 high‐grade glioma (HGG) patients undergoing RT 7 healthy controls. Changes across time in mean, standard deviation (SD), skewness, kurtosis fractional anisotropy (FA), mean diffusivity (MD), axial (λ ), transversal t ) within normal‐appearing white matter (NAWM)...
Purpose To evaluate the importance of T2*-effects on arterial input function (AIF) and resulting dynamic parameter estimation in contrast-enhanced (DCE) MRI high-grade gliomas. Materials Methods Seven patients with gliomas were imaged total 50 times using a double-echo DCE sequence. Kinetic analysis extended Tofts model was performed AIFs without correction for T2*-effects, estimates transfer constant (Ktrans), blood plasma volume (vp), rate (kep) compared. Numerical simulations done...
The aim of this study was to investigate changes in structural magnetic resonance imaging (MRI) according the RANO criteria and perfusion- permeability related metrics derived from dynamic contrast-enhanced MRI (DCE) susceptibility contrast (DSC) during radiochemotherapy for prediction progression survival glioblastoma.Twenty-three glioblastoma patients underwent biweekly perfusion before, during, two weeks after a six course radiochemotherapy. Temporal trends tumor volume perfusion-derived...
Introduction Radiological assessment is necessary to diagnose spontaneous intracerebral hemorrhage (ICH) and traumatic brain injury intracranial (TBI-bleed). Artificial intelligence (AI) deep learning tools provide a means for decision support. This study evaluates the segmentations produced from three-dimensional AI model that was developed using non-contrast computed tomography (CT) imaging data external current study. Methods Non-contrast CT 1263 patients were accessed across seven...
Heart rate variability (HRV) has become an increasingly popular index of cardiac autonomic control in the biobehavioral sciences due to its relationship with mental illness and cognitive traits. However, intraindividual stability HRV response sleep diurnal disturbances, which are commonly reported illness, executive function not well understood. Here, 40 healthy adult males we calculated high frequency HRV-an parasympathetic nervous system (PNS) activity-using pulse oximetry during brain...
Abstract Insomnia poses a high risk for depression. Brain mechanisms of sleep and mood improvement following cognitive behavioural therapy insomnia remain elusive. This longitudinal study evaluated whether (i) individual differences in baseline brain white matter microstructure predict improvements (ii) intervention affects microstructure. People meeting the Diagnostic Statistical Manual Mental Disorders-5 criteria Disorder (n = 117) participated randomized controlled trial comparing 6 weeks...
Cortical microstructure is influenced by circadian rhythm and sleep deprivation, yet the precise underpinnings of these effects remain unclear. The ratio between T1-weighted T2-weighted magnetic resonance images (T1w/T2w ratio) has been linked to myelin levels dendrite density may offer novel insight into intracortical deprived brain. Here, we examined T1w/T2w in 41 healthy young adults (26 women) before after 32 h either deprivation (n = 18) or a normal sleep-wake cycle 23). Linear models...
To improve accelerated MRI reconstruction through a densely connected cascading deep learning framework.A framework (reference model) was modified by applying three architectural modifications: input-level dense connections between cascade inputs and outputs, an improved sub-network, long-range skip-connections subsequent networks. An ablation study performed, where five model configurations were trained on the NYU fastMRI neuro dataset with end-to-end scheme conjunct four- eightfold...
An important step in the analysis of magnetic resonance imaging (MRI) data for neuroimaging is automated segmentation white matter hyperintensities (WMHs). Fluid Attenuated Inversion Recovery (FLAIR-weighted) an MRI contrast that particularly useful to visualize and quantify WMHs, a hallmark cerebral small vessel disease Alzheimer’s (AD). In order achieve high spatial resolution each three voxel dimensions, clinical protocols are evolving three-dimensional (3D) FLAIR-weighted acquisition....
To evaluate and quantify a scheme for correcting susceptibility artifacts in spin-echo echo-planar-imaging-based dynamic contrast (DSC) perfusion MRI of high-grade gliomas at 3 Tesla.Sixteen patients with total 78 scans were studied. DSC-MRI images corrected using displacement map generated from opposite phase-encoding polarity images. Two methods used quantification the correction: (i) linear regression pixel-by-pixel comparisons, performed both globally relative to anterior posterior...