Publications by authors named "Hjmm Mutsaerts"

Article Synopsis
  • - This study aimed to evaluate how reliable automatic lesion segmentation tools are when used on MRI scans of people with multiple sclerosis (pwMS) across different scanners, focusing on their repeatability and accuracy compared to manual segmentation methods.
  • - Researchers scanned 30 pwMS using three different MRI machines (two 3.0 T and one 1.5 T) and employed various segmentation techniques, including both automated tools and manual methods, to measure their effectiveness.
  • - Results showed that optimizing the segmentation settings for each specific scanner significantly improved accuracy (measured by the Dice similarity coefficient) for one of the software tools (LST) compared to using default settings or a combined approach.
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  • The study explores the genetic risk factors for Alzheimer's disease (AD) and their connection to various brain changes, aiming to enhance precision medicine strategies.
  • Researchers calculated specific genetic risk scores in healthy individuals to see how these scores correlate with AD-related biomarkers found in cerebrospinal fluid and imaging techniques.
  • Findings show that different genetic pathways link to distinct brain conditions, such as inflammation affecting vascular health and other pathways influencing white matter and brain connectivity, highlighting the complexity of AD and its potential for personalized treatment approaches.
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Behavioral variant frontotemporal dementia (bvFTD) is a neurodegenerative disorder characterized by diverse and prominent changes in behavior and personality. One of the greatest challenges in bvFTD is to capture, measure and predict its disease progression, due to clinical, pathological and genetic heterogeneity. Availability of reliable outcome measures is pivotal for future clinical trials and disease monitoring.

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Objective: Alzheimer's disease (AD) and cerebral small vessel disease (cSVD), the two most common causes of dementia, are characterized by white matter (WM) alterations diverging from the physiological changes occurring in healthy aging. Diffusion tensor imaging (DTI) is a valuable tool to quantify WM integrity non-invasively and identify the determinants of such alterations. Here, we investigated main effects and interactions of AD pathology, APOE-ε4, cSVD, and cardiovascular risk on spatial patterns of WM alterations in non-demented older adults.

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Article Synopsis
  • Effective longitudinal biomarkers, like cerebral perfusion, are crucial for tracking disease progression in presymptomatic genetic frontotemporal dementia (FTD) carriers.
  • The study examined cerebral perfusion in various genetic FTD groups using advanced MRI techniques and found declines in gray matter perfusion across all groups, with specific regional patterns.
  • Results suggest that monitoring cerebral perfusion could serve as an early biomarker for detecting FTD before symptoms appear, especially highlighting differences among genetic subgroups.
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Purpose: Arterial spin labeling (ASL) is a widely used contrast-free MRI method for assessing cerebral blood flow (CBF). Despite the generally adopted ASL acquisition guidelines, there is still wide variability in ASL analysis. We explored this variability through the ISMRM-OSIPI ASL-MRI Challenge, aiming to establish best practices for more reproducible ASL analysis.

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Introduction: Loss of blood-brain barrier (BBB) integrity is hypothesised to be one of the earliest microvascular signs of Alzheimer's disease (AD). Existing BBB integrity imaging methods involve contrast agents or ionising radiation, and pose limitations in terms of cost and logistics. Arterial spin labelling (ASL) perfusion MRI has been recently adapted to map the BBB permeability non-invasively.

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Advanced intraoperative MR images (ioMRI) acquired during the resection of pediatric brain tumors could offer additional physiological information to preserve healthy tissue. With this work, we aimed to develop a protocol for ioMRI with increased sensitivity for arterial spin labeling (ASL) and diffusion MRI (dMRI), optimized for patient positioning regularly used in the pediatric neurosurgery setting. For ethical reasons, ASL images were acquired in healthy adult subjects that were imaged in the prone and supine position.

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Importance: Weight loss induced by bariatric surgery (BS) is associated with improved cognition and changed brain structure; however, previous studies on the association have used small cohorts and short follow-up periods, making it difficult to determine long-term neurological outcomes associated with BS.

Objective: To investigate long-term associations of weight loss after BS with cognition and brain structure and perfusion.

Design, Setting, And Participants: This cohort study included participants from the Bariatric Surgery Rijnstate and Radboudumc Neuroimaging and Cognition in Obesity study.

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Objective: Response to antidepressant treatment in major depressive disorder varies substantially between individuals, which lengthens the process of finding effective treatment. The authors sought to determine whether a multimodal machine learning approach could predict early sertraline response in patients with major depressive disorder. They assessed the predictive contribution of MR neuroimaging and clinical assessments at baseline and after 1 week of treatment.

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Gadolinium-based contrast agents (GBCAs) form the cornerstone of current primary brain tumor MRI protocols at all stages of the patient journey. Though an imperfect measure of tumor grade, GBCAs are repeatedly used for diagnosis and monitoring. In practice, however, radiologists will encounter situations where GBCA injection is not needed or of doubtful benefit.

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The 2015 consensus statement published by the International Society for Magnetic Resonance in Medicine (ISMRM) Perfusion Study Group and the European Cooperation in Science and Technology ( COST) Action ASL in Dementia aimed to encourage the implementation of robust arterial spin labeling (ASL) perfusion MRI for clinical applications and promote consistency across scanner types, sites, and studies. Subsequently, the recommended 3D pseudo-continuous ASL sequence has been implemented by most major MRI manufacturers. However, ASL remains a rapidly and widely developing field, leading inevitably to further divergence of the technique and its associated terminology, which could cause confusion and hamper research reproducibility.

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Cerebral perfusion modelling is a promising tool to predict the impact of acute ischaemic stroke treatments on the spatial distribution of cerebral blood flow (CBF) in the human brain. To estimate treatment efficacy based on CBF, perfusion simulations need to become suitable for group-level investigations and thus account for physiological variability between individuals. However, computational perfusion modelling to date has been restricted to a few patient-specific cases.

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Article Synopsis
  • The study aims to compile an inventory of arterial spin labeling (ASL) image processing pipelines, highlighting their features to help novice users choose the best option.
  • Developers self-assessed 21 pipelines through a questionnaire, and two independent testers evaluated 9 publicly available ones using a scoring system, focusing on ease of use and flexibility.
  • Most pipelines can process standard ASL data, but only a few are well-documented and user-friendly, with recommendations for selection based on specific needs and user experience.
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Background: Exercise is a promising intervention to alleviate cognitive problems in breast cancer patients, but studies on mechanisms underlying these effects are lacking.

Purpose: Investigating whether an exercise intervention can affect cerebral blood flow (CBF) in cognitively impaired breast cancer patients and to determine if CBF changes relate to memory function.

Study Type: Prospective.

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Background: Abnormalities in cerebral blood flow (CBF) are common in bipolar disorder (BD). Despite known differences in CBF between healthy adolescent males and females, sex differences in CBF among adolescents with BD have never been studied.

Objective: To examine sex differences in CBF among adolescents with BD versus healthy controls (HC).

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Amyloid-β accumulation starts in highly connected brain regions and is associated with functional connectivity alterations in the early stages of Alzheimer's disease. This regional vulnerability is related to the high neuronal activity and strong fluctuations typical of these regions. Recently, dynamic functional connectivity was introduced to investigate changes in functional network organization over time.

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The blood-brain barrier (BBB) consists of specialized cells that tightly regulate the in- and outflow of molecules from the blood to brain parenchyma, protecting the brain's microenvironment. If one of the BBB components starts to fail, its dysfunction can lead to a cascade of neuroinflammatory events leading to neuronal dysfunction and degeneration. Preliminary imaging findings suggest that BBB dysfunction could serve as an early diagnostic and prognostic biomarker for a number of neurological diseases.

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In the pediatric brain tumor surgery setting, intraoperative MRI (ioMRI) provides "real-time" imaging, allowing for evaluation of the extent of resection and detection of complications. The use of advanced MRI sequences could potentially provide additional physiological information that may aid in the preservation of healthy brain regions. This review aims to determine the added value of advanced imaging in ioMRI for pediatric brain tumor surgery compared to conventional imaging.

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Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging-derived measures from the UK Biobank dataset (N=22,661) were used to predict brain-age in 2,314 cognitively unimpaired (CU) individuals at higher risk of AD and mild cognitive impaired (MCI) patients from four independent cohorts with available biomarker data: ALFA+, ADNI, EPAD, and OASIS.

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Current structural MRI-based brain age estimates and their difference from chronological age-the brain age gap (BAG)-are limited to late-stage pathological brain-tissue changes. The addition of physiological MRI features may detect early-stage pathological brain alterations and improve brain age prediction. This study investigated the optimal combination of structural and physiological arterial spin labelling (ASL) image features and algorithms.

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Article Synopsis
  • This article updates the 2015 consensus paper on arterial spin labeling (ASL) MRI, focusing on its clinical applications and guiding use in specific diseases.
  • It addresses the increased demand and applications of ASL in conditions like stroke, brain tumors, and neurodegenerative diseases, offering insights on optimizing sequences for accurate interpretation.
  • The guidance aims to assist clinical practitioners in implementing ASL in individual patient assessments rather than just in research studies, enhancing diagnostic capabilities.
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Background And Objective: While underlying pathophysiology linking obesity to brain health is not completely understood, white adipose tissue (WAT) is considered a key player. In obesity, WAT becomes dysregulated, showing hyperplasia, hypertrophy, and eventually inflammation. This disbalance leads to dysregulated secretion of adipokines influencing both (cardio)vascular and brain health.

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