Jane Neumann
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View article: Identification of patients with suspected NSTE-ACS in the observe zone: evaluating GRACE 1.0 score and a biomarker panel for risk stratification and management optimization
Identification of patients with suspected NSTE-ACS in the observe zone: evaluating GRACE 1.0 score and a biomarker panel for risk stratification and management optimization Open
Background Current guidelines recommend additional diagnostic work-up for patients with suspected non-ST-elevation acute coronary syndrome (NSTE-ACS) triaged in the observe zone using accelerated diagnostic protocols. This study assessed t…
View article: Neural Representations of Extrasystoles: A Predictive Coding Perspective
Neural Representations of Extrasystoles: A Predictive Coding Perspective Open
The coordinated interplay between brain and body is essential for survival, with the heart-brain axis playing a fundamental role in perceptual, cognitive and motor processes. Central to this interaction, the heart-evoked potential (HEP) re…
View article: Murine matrix metalloproteinase 13 and human matrix metalloproteinase 1 are involved in remodelling processes after myocardial infarction
Murine matrix metalloproteinase 13 and human matrix metalloproteinase 1 are involved in remodelling processes after myocardial infarction Open
Funding Acknowledgements Type of funding sources: Foundation. Main funding source(s): German Centre for Cardiovascular Research (DZHK) Background Cardiovascular diseases such as myocardial infarction (MI) remain a leading cause of death in…
View article: Dopamine release, diffusion and uptake: A computational model for synaptic and volume transmission
Dopamine release, diffusion and uptake: A computational model for synaptic and volume transmission Open
Computational modeling of dopamine transmission is challenged by complex underlying mechanisms. Here we present a new computational model that (I) simultaneously regards release, diffusion and uptake of dopamine, (II) considers multiple te…
View article: Enhanced Go and NoGo Learning in Individuals With Obesity
Enhanced Go and NoGo Learning in Individuals With Obesity Open
Overeating in individuals with obesity is hypothesized to be partly caused by automatic action tendencies to food cues that have the potential to override goal-directed dietary restriction. Individuals with obesity are often characterized …
View article: Hemispheric asymmetries in resting‐state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI
Hemispheric asymmetries in resting‐state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI Open
Much of our behaviour is driven by two motivational dimensions—approach and avoidance. These have been related to frontal hemispheric asymmetries in clinical and resting‐state EEG studies: Approach was linked to higher activity of the left…
View article: Hemispheric asymmetries in resting-state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI
Hemispheric asymmetries in resting-state EEG and fMRI are related to approach and avoidance behaviour, but not to eating behaviour or BMI Open
Much of our behaviour is driven by two motivational dimensions – approach and avoidance. These have been related to frontal hemispheric asymmetries in clinical and resting-state EEG studies: approach was linked to higher activity of the le…
View article: Obesity is associated with insufficientbehavioral adaptation
Obesity is associated with insufficientbehavioral adaptation Open
Obesity is one of the major health concerns nowadays according to the World Health Organisation (WHO global status report on noncommunicable diseases 2010). Thus, there is an urgent need for understanding obesity-associated alterations in …
View article: Cardiac Concomitants of Feedback and Prediction Error Processing in Reinforcement Learning
Cardiac Concomitants of Feedback and Prediction Error Processing in Reinforcement Learning Open
Successful learning hinges on the evaluation of positive and negative feedback. We assessed differential learning from reward and punishment in a monetary reinforcement learning paradigm, together with cardiac concomitants of positive and …
View article: Corrigendum: Brain networks of perceptual decision-making: an fMRI ALE meta-analysis
Corrigendum: Brain networks of perceptual decision-making: an fMRI ALE meta-analysis Open
[This corrects the article on p. 445 in vol. 8, PMID: 24994979.].
View article: Random Projection for Fast and Efficient Multivariate Correlation Analysis of High-Dimensional Data: A New Approach
Random Projection for Fast and Efficient Multivariate Correlation Analysis of High-Dimensional Data: A New Approach Open
In recent years, the advent of great technological advances has produced a wealth of very high-dimensional data, and combining high-dimensional information from multiple sources is becoming increasingly important in an extending range of s…
View article: Is it Worth the Effort? Novel Insights into Obesity-Associated Alterations in Cost-Benefit Decision-Making
Is it Worth the Effort? Novel Insights into Obesity-Associated Alterations in Cost-Benefit Decision-Making Open
Cost-benefit decision-making entails the process of evaluating potential actions according to the trade-off between the expected reward (benefit) and the anticipated effort (costs). Recent research revealed that dopaminergic transmission w…
View article: Lateral prefrontal model-based signatures are reduced in healthy individuals with high trait impulsivity
Lateral prefrontal model-based signatures are reduced in healthy individuals with high trait impulsivity Open
High impulsivity is an important risk factor for addiction with evidence from endophenotype studies. In addiction, behavioral control is shifted toward the habitual end. Habitual control can be described by retrospective updating of reward…
View article: The subthalamic nucleus during decision‐making with multiple alternatives
The subthalamic nucleus during decision‐making with multiple alternatives Open
Several prominent neurocomputational models predict that an increase of choice alternatives is modulated by increased activity in the subthalamic nucleus (STN). In turn, increased STN activity allows prolonged accumulation of information. …