9 results match your criteria: "Kempenhaeghe and Maastricht University Medical Centre[Affiliation]"
Objective outcome prediction in depression through functional MRI brain network dynamics.
Psychiatry Res Neuroimaging
March 2025
Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AE, Eindhoven, Netherlands; Department of Research and Development, Epilepsy Centre Kempenhaeghe, Sterkselseweg 65, 5590 AB, Heeze, Netherlands.
Research Purpose: Subjective clinical decision-making in major depressive disorder (MDD) may result in low treatment effectiveness. This study aims to identify objective predictors of MDD outcome using resting-state functional MRI scans, acquired from 25 MDD patients at baseline. Over a year, patients were assessed every 3 months, labeled as positive or negative outcome (change in depression severity).
View Article and Find Full Text PDFMulti-modal MRI for objective diagnosis and outcome prediction in depression.
Neuroimage Clin
November 2024
Department of Electrical Engineering, Eindhoven University of Technology, Groene Loper 19, 5612 AE Eindhoven, the Netherlands; Department of Research and Development, Epilepsy Centre Kempenhaeghe, Sterkselseweg 65, 5590 AB Heeze, the Netherlands.
Article Synopsis
- The study examines the challenges in effectively treating major depressive disorder (MDD) due to subjective clinical assessments and a lack of reliable quantitative measures, proposing that MRI-derived objective biomarkers could enhance diagnosis and outcome predictions.
- Researchers aim to develop multi-modal predictors using various MRI techniques from a combined dataset of MDD patients and healthy controls, tackling both diagnosis and treatment outcomes simultaneously.
- Initial findings indicate that diffusion tensor imaging (DTI) features outperformed other MRI modalities for both diagnosing MDD and predicting treatment outcomes, suggesting a potential for improved clinical decision-making.
DeepFLAIR: A neural network approach to mitigate signal and contrast loss in temporal lobes at 7 Tesla FLAIR images.
Magn Reson Imaging
July 2024
Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, the Netherlands; Mental Health and Neuroscience Institute (MHeNs), Maastricht University, Maastricht, the Netherlands; Cardiovascular Diseases Institute (CARIM), Maastricht University, Maastricht, the Netherlands. Electronic address:
Background And Purpose: Higher magnetic field strength introduces stronger magnetic field inhomogeneities in the brain, especially within temporal lobes, leading to image artifacts. Particularly, T2-weighted fluid-attenuated inversion recovery (FLAIR) images can be affected by these artifacts. Here, we aimed to improve the FLAIR image quality in temporal lobe regions through image processing of multiple contrast images via machine learning using a neural network.
View Article and Find Full Text PDFAdvances in Image Processing for Epileptogenic Zone Detection with MRI.
Radiology
June 2023
From the Department of Radiology and Nuclear Medicine (D.U., G.S.D., P.A.M.H., C.M.H., J.F.A.J., W.H.B.) and Department of Neurosurgery (O.E.M.G.S., R.H.G.J.v.L.), Maastricht University Medical Centre, P. Debyelaan 25, NL-6229 HX Maastricht, the Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, the Netherlands (D.U., G.S.D., O.E.M.G.S., R.H.G.J.v.L., J.F.A.J., W.H.B.); Academic Center for Epileptology, Kempenhaeghe and Maastricht University Medical Centre, Heeze/Maastricht, the Netherlands (O.E.M.G.S., A.J.C., P.A.M.H., C.M.H., J.F.A.J.); and Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands (J.F.A.J.).
Focal epilepsy is a common and severe neurologic disorder. Neuroimaging aims to identify the epileptogenic zone (EZ), preferably as a macroscopic structural lesion. For approximately a third of patients with chronic drug-resistant focal epilepsy, the EZ cannot be precisely identified using standard 3.
View Article and Find Full Text PDFFailure of ketogenic diet therapy in GLUT1 deficiency syndrome.
Eur J Paediatr Neurol
May 2019
Department of Neurology, Academic Center for Epileptology, Kempenhaeghe and Maastricht University Medical Centre, Heeze, the Netherlands. Electronic address:
Purpose: Epilepsy in GLUT1 deficiency syndrome is generally drug-resistant; ketogenic diet (KD) therapy is the mainstay of therapy, as production of ketones provides the brain with an alternative energy source, bypassing the defect in GLUT1. Failure of KD therapy and risk factors for failure have been sparsely published.
Methods: We performed a retrospective study of GLUT1DS patients with refractory epilepsy failing on KD therapy, to identify their clinical characteristics.
Stroke mimics add to the phenotypic spectrum of GLUT1 deficiency syndrome.
J Neurol Neurosurg Psychiatry
June 2018
Department of Pediatric Neurology, Radboud University Medical Center, Nijmegen, The Netherlands.
A comparison of the responsiveness of EQ-5D-5L and the QOLIE-31P and mapping of QOLIE-31P to EQ-5D-5L in epilepsy.
Eur J Health Econ
July 2018
King's Health Economics (KHE), Institute of Psychiatry, Psychology and Neuroscience at King's College London, London, UK.
Article Synopsis
- The study investigates how well the EQ-5D-5L and QOLIE-31P measures correlate in assessing quality of life in epilepsy patients, aiming to create a mapping function to predict EQ-5D-5L values from QOLIE-31P scores for economic evaluations.
- The research involved analyzing data from two clinical trials with 509 patient participants, calculating correlations and effect sizes between the two quality of life instruments over baseline and a 12-month follow-up.
- Findings revealed significant (but limited) correlations, highlighting the EQ-5D-5L's poor responsiveness in epilepsy, suggesting a need for specific tools for this condition, and raising doubts about the effectiveness of the mapping function for economic evaluations.
How to prepare a systematic review of economic evaluations for clinical practice guidelines: database selection and search strategy development (part 2/3).
Expert Rev Pharmacoecon Outcomes Res
December 2016
i CAPHRI, School for Public Health and Primary Care, Department of Family Medicine, Faculty of Health, Medicine and Life Sciences , Maastricht University, Maastricht , The Netherlands.
This article is part of the series "How to prepare a systematic review of economic evaluations (EES) for informing evidence-based healthcare decisions", in which a five-step approach is proposed. Areas covered: This paper focuses on the selection of relevant databases and developing a search strategy for detecting EEs, as well as on how to perform the search and how to extract relevant data from retrieved records. Expert commentary: Thus far, little has been published on how to conduct systematic review EEs.
View Article and Find Full Text PDFHow to prepare a systematic review of economic evaluations for informing evidence-based healthcare decisions: data extraction, risk of bias, and transferability (part 3/3).
Expert Rev Pharmacoecon Outcomes Res
December 2016
a Department of Health Services Research, CAPHRI School of Public Health and Primary Care , Maastricht University, Maastricht , The Netherlands.
This article is part of the series "How to Prepare a Systematic Review (SR) of Economic Evaluations (EE) for Informing Evidence-based Healthcare Decisions" in which a five-step-approach for conducting a SR of EE is proposed. Areas covered: This paper explains the data extraction process, the risk of bias assessment and the transferability of EEs by means of a narrative review and expert opinion. SRs play a critical role in determining the comparative cost-effectiveness of healthcare interventions.
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