David Steyrl

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 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 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.