A5003070030- Neural and Behavioral Psychology Studies
- Neuroscience and Music Perception
- Functional Brain Connectivity Studies
- Mental Health Research Topics
- Brain Tumor Detection and Classification
- Neurobiology of Language and Bilingualism
- Diverse Music Education Insights
- Medical Imaging Techniques and Applications
- Neural dynamics and brain function
- Product Development and Customization
- Medical Imaging and Analysis
- Neural Networks and Applications
- Hemispheric Asymmetry in Neuroscience
- EEG and Brain-Computer Interfaces
- Music Therapy and Health
- Spatial Neglect and Hemispheric Dysfunction
- Multisensory perception and integration
- Business Process Modeling and Analysis
RWTH Aachen University
2019-2024
Jülich Aachen Research Alliance
2019-2023
FH Aachen
2020
Mismatch responses reflect neural mechanisms of early cognitive processing in the auditory domain. Disturbances these on multiple levels may contribute to clinical symptoms major depression (MD). A functional magnetic resonance imaging (fMRI) study was conducted identify neurobiological foundations altered mismatch MD. Twenty-five patients with and 25 matched healthy individuals completed an paradigm optimized for fMRI. Brain activity during compared between groups. Moreover, seed-based...
Virtual environments (VEs), in the recent years, have become more prevalent neuroscience. These VEs can offer great flexibility, replicability, and control over presented stimuli an immersive setting. With developments, it has feasible to achieve higher-quality visuals at a reasonable investment. Our aim this project was develop implement novel real-time functional magnetic resonance imaging (rt-fMRI)-based neurofeedback (NF) training paradigm, taking into account new technological advances...
Abstract Objective. Driver assistance systems play an increasingly important role in modern vehicles. In the current level of technology, driver must continuously supervise driving and intervene whenever necessary when using systems. The driver’s attentiveness plays this human–machine interaction. Our aim was to design a simplistic technical framework for studying neural correlates situations functional magnetic resonance imaging (fMRI) setting. work we assessed feasibility our proposed...
Video gaming takes a significant position in contemporary social life. It also constitutes as an elegant scientific model to study behavior. By applying this model, behavioral patterns and their underlying physiological processes can be precisely observed at millisecond resolutions, e.g. with functional brain imaging. To date, detailed analysis on event-level was only performed few studies. Process mining (PM) is efficient methodology assess systematize these complex patterns. We describe...
Quality assessment (QA) of magnetic resonance imaging (MRI) encompasses several factors such as noise, contrast, homogeneity, and artifacts. evaluation is often not standardized relies on the expertise, vigilance personnel, posing limitations especially with large datasets. Machine learning based convolutional neural networks (CNNs) a promising approach to address these challenges by performing automated inspection MR images. In this study, CNN for detection random head motion artifacts...
Abstract The acquisition of new skills is facilitated by providing individuals with feedback that reflects their performance. This process creates a closed loop involves processing and regulation recalibration to promote effective training. Functional magnetic resonance imaging (fMRI)-based neurofeedback unique in applying this principle delivering direct on the self-regulation brain activity. Understanding how feedback-driven learning occurs requires examining evaluated adjusts response...
Handedness is one of the most obvious functional asymmetries, but its relation to anatomical asymmetry in brain has not yet been clearly demonstrated. However, there no significant evidence prove or disprove this structure-function correlation, thus left-handed patients are often excluded from magnetic resonance imaging (MRI) studies. MRI classification left and right hemispheres a difficult task on own due complexity images structural similarities between two halves. We demonstrate deep...