Clara Pantel

Supporting 2 projects, one at the Faculty of Health and Medical Sciences, one at the Faculty of Business and Economics: Participant recruitment and scheduling for the Neurofeedback to Regulate Pain study; Assisting with fMRI data collection (including physiological data, e.g., heart rate, breathing), conducting neurofeedback sessions, and independently administering mock-scanner control sessions; Creation of figures and visualizations, preliminary data analysis using R and Excel

Processsing EEG Data collected during the Attention Network Test (ANT-R)

For my master's thesis, I investigated unconscious emotion processing in dystonia using EEG and fMRI. My research focused on refining EEG preprocessing, conducting advanced source analysis (eLORETA), and performing ROI-based fMRI analysis to better understand the neural mechanisms underlying cognitive-emotional processing in movement disorders.

Tutoring 1st and 2nd-year Bachelor's courses in a Problem-Based Learning format (Courses: Methods and Techniques of Research, Statistics I, Consciousness, Functional Neuroanatomy, History of Psychology)

Assisting English, Spanish, and German language lessons in 1st and 9th grade

o Research Master specialised in Cognitive Neuroscience o Neuroimaging methods such as EEG, fMRI, TMS, and DTI (analysis and experimental design) o Programming and Statistics with MatLab (including eeglab) and SPSS o Research Elective: Analyzing EEG data recorded during the Attention Network Test-R

Conducted my own research project as part of the Research-Based Learning (MaRBLe) excellence program for my Bachelor’s thesis (Topic: The influence of cognitive thinking styles on the confidence-accuracy relationship in forensic transcription)