Frank Scharnowski

This paper analyzes fMRI neurofeedback data to identify brain regions and networks involved in feedback processing and regulation recalibration during training.

The paper presents a database of fMRI and behavioral data from adults with spider phobia, including neural patterns and psychological dimensions.

This study uses fMRI and multivariate pattern analysis to show that wanting-related brain patterns persist longer in individuals with nicotine use disorder, supporting the Incentive-Sensitization Theory.

This study examines amygdala responses during exposure therapy for spider phobia, finding that increased amygdala activation correlates with better clinical outcomes, supporting the inhibitory learning model over the habituation model.

This study assesses the feasibility of real-time interbrain synchrony measurement using fNIRS and wavelet transform coherence for neurofeedback applications.

The paper compares resting-state functional connectivity before and after tasks in clinical populations, finding task-induced changes that impact biomarker detection.

This study evaluates the long-term effects of network-based fMRI neurofeedback training on sustained attention, finding lasting neural changes but transient behavioral improvements.

This study uses machine learning to analyze 608 participants and identifies two factors improving neurofeedback performance: pre-training no-feedback runs and training patients over healthy participants.

This study investigates whether pre-training brain activity can predict success in real-time fMRI neurofeedback learning across 24 studies and 401 participants, finding a weak correlation but no consistent predictors.

This study examines how individual differences in self-regulation of the dopaminergic midbrain relate to cognitive control and reward sensitivity during neurofeedback training.

This study examines how psychiatric history and age affect neurofeedback performance on default mode network regulation using real-time fMRI data.

This study shows that cocaine users can self-regulate their reward system using non-drug imagery and that real-time fMRI neurofeedback enhances this ability.