Institution
University of Mannheim
Education•Mannheim, Germany•
About: University of Mannheim is a education organization based out in Mannheim, Germany. It is known for research contribution in the topics: Population & European union. The organization has 4448 authors who have published 12918 publications receiving 446557 citations. The organization is also known as: Uni Mannheim & UMA.
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TL;DR: In this paper, the authors apply a new simulation method that solves the multidimensional probability integrals that arise in maximum likelihood estimation of a broad class of limited dependent variable models.
524 citations
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TL;DR: This study indicates that an SI increase in the DN and GP on T1-weighted images is caused by serial application of the linear GBCA gadopentetate dimeglumine but not by the macrocyclic GBCAs gadoterate meglumines.
Abstract: In this study, we found increased signal intensity (SI) in the dentate nucleus and globus pallidus on unenhanced T1-weighted images after serial applications of the linear gadolinium-based contrast agent (GBCA) gadopentetate dimeglumine, while no significant SI increase could be demonstrated for the macrocyclic GBCA gadoterate meglumine.
516 citations
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TL;DR: Although there is increased interest in marketing's changing role within the firm, there is little empirical research that measures the influence of marketing or links marketing's role to situation as mentioned in this paper, and there is no empirical study that links marketing role to situations.
Abstract: Although there is increased interest in marketing's changing role within the firm, there is little empirical research that measures the influence of marketing or links marketing's role to situation...
515 citations
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TL;DR: Functional connectivity patterns of the amygdala activation confirmed the roles of these specific activations for the 2 emotion regulation strategies, and showed a stronger decrease in amygdala activity for distraction when compared with reappraisal.
Abstract: The regulation of emotion is vital for adaptive behavior in a social environment Different strategies may be adopted to achieve successful emotion regulation, ranging from attentional control (eg, distraction) to cognitive change (eg, reappraisal) However, there is only scarce evidence comparing the different regulation strategies with respect to their neural mechanisms and their effects on emotional experience We, therefore, directly compared reappraisal and distraction in a functional magnetic resonance imaging study with emotional pictures In the distraction condition participants performed an arithmetic task, while they reinterpreted the emotional situation during reappraisal to downregulate emotional intensity Both strategies were successful in reducing subjective emotional state ratings and lowered activity in the bilateral amygdala Direct contrasts, however, showed a stronger decrease in amygdala activity for distraction when compared with reappraisal While both strategies relied on common control areas in the medial and dorsolateral prefrontal and inferior parietal cortex, the orbitofrontal cortex was selectively activated for reappraisal In contrast, the dorsal anterior cingulate and large clusters in the parietal cortex were active in the distraction condition Functional connectivity patterns of the amygdala activation confirmed the roles of these specific activations for the 2 emotion regulation strategies
514 citations
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German Cancer Research Center1, Heidelberg University2, University Hospital Heidelberg3, University of Zurich4, Medical University of Vienna5, Goethe University Frankfurt6, University of Bristol7, Otto-von-Guericke University Magdeburg8, University of Mannheim9, Saarland University10, University of Bonn11, Charité12, University of Cambridge13, University of Münster14
TL;DR: Compared with WHO grading, classification by individual and combined methylation classes more accurately identifies patients at high risk of disease progression in tumours with WHO grade I histology, and patients at lower risk of recurrence among WHO grade II tumours.
Abstract: Summary Background The WHO classification of brain tumours describes 15 subtypes of meningioma. Nine of these subtypes are allotted to WHO grade I, and three each to grade II and grade III. Grading is based solely on histology, with an absence of molecular markers. Although the existing classification and grading approach is of prognostic value, it harbours shortcomings such as ill-defined parameters for subtypes and grading criteria prone to arbitrary judgment. In this study, we aimed for a comprehensive characterisation of the entire molecular genetic landscape of meningioma to identify biologically and clinically relevant subgroups. Methods In this multicentre, retrospective analysis, we investigated genome-wide DNA methylation patterns of meningiomas from ten European academic neuro-oncology centres to identify distinct methylation classes of meningiomas. The methylation classes were further characterised by DNA copy number analysis, mutational profiling, and RNA sequencing. Methylation classes were analysed for progression-free survival outcomes by the Kaplan-Meier method. The DNA methylation-based and WHO classification schema were compared using the Brier prediction score, analysed in an independent cohort with WHO grading, progression-free survival, and disease-specific survival data available, collected at the Medical University Vienna (Vienna, Austria), assessing methylation patterns with an alternative methylation chip. Findings We retrospectively collected 497 meningiomas along with 309 samples of other extra-axial skull tumours that might histologically mimic meningioma variants. Unsupervised clustering of DNA methylation data clearly segregated all meningiomas from other skull tumours. We generated genome-wide DNA methylation profiles from all 497 meningioma samples. DNA methylation profiling distinguished six distinct clinically relevant methylation classes associated with typical mutational, cytogenetic, and gene expression patterns. Compared with WHO grading, classification by individual and combined methylation classes more accurately identifies patients at high risk of disease progression in tumours with WHO grade I histology, and patients at lower risk of recurrence among WHO grade II tumours (p=0·0096) from the Brier prediction test). We validated this finding in our independent cohort of 140 patients with meningioma. Interpretation DNA methylation-based meningioma classification captures clinically more homogenous groups and has a higher power for predicting tumour recurrence and prognosis than the WHO classification. The approach presented here is potentially very useful for stratifying meningioma patients to observation-only or adjuvant treatment groups. We consider methylation-based tumour classification highly relevant for the future diagnosis and treatment of meningioma. Funding German Cancer Aid, Else Kroner-Fresenius Foundation, and DKFZ/Heidelberg Institute of Personalized Oncology/Precision Oncology Program.
511 citations
Authors
Showing all 4522 results
Name | H-index | Papers | Citations |
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Andreas Kugel | 128 | 910 | 75529 |
Jürgen Rehm | 126 | 1132 | 116037 |
Norbert Schwarz | 117 | 488 | 71008 |
Andreas Hochhaus | 117 | 923 | 68685 |
Barry Eichengreen | 116 | 949 | 51073 |
Herta Flor | 112 | 638 | 48175 |
Eberhard Ritz | 111 | 1109 | 61530 |
Marcella Rietschel | 110 | 765 | 65547 |
Andreas Meyer-Lindenberg | 107 | 534 | 44592 |
Daniel Cremers | 99 | 655 | 44957 |
Thomas Brox | 99 | 329 | 94431 |
Miles Hewstone | 88 | 418 | 26350 |
Tobias Banaschewski | 85 | 692 | 31686 |
Andreas Herrmann | 82 | 761 | 25274 |
Axel Dreher | 78 | 350 | 20081 |