Evelyn Reger
Translational Psychiatry, Department of Psychiatry and Psychotherapy, University of Lübeck
- Medical Student and MD Candidate - Structural Neuroimaging and Computational Psychiatry
- TBA
- ResearchGate Profile
Medical Student and MD Candidate
Education
2022 – present Medical Student, University of Lübeck (Germany)
2025 – present MD Candidate, Translational Psychiatry, University of Lübeck (Germany)
Professional Experience
2021 – 2022 Voluntary Social Year, Karl-Jaspers-Klinik, Oldenburg (Germany)
2024 Histology Tutor, Institute of Anatomy, University of Lübeck (Germany)
2025 Clinical traineeship, Department of Neurology, Klinikum Kassel (Germany)
2025 – present Student Nursing Assistant, Emergency Department, University Hospital Schleswig-Holstein, Lübeck (Germany)
Evelyn Reger’s research focuses on structural MRI markers in individuals at clinical high risk for psychosis. In particular, she investigates cortical folding complexity using Lyapunov-derived measures and combines these nonlinear neuroimaging descriptors with explainable artificial intelligence. Her work aims to characterize clinically relevant heterogeneity, identify distributed structural brain patterns, and evaluate the potential of complexity-based neuroimaging markers for improved risk stratification in psychosis-risk populations.
Keywords: Structural neuroimaging, clinical high risk for psychosis, computational psychiatry, cortical folding complexity
Presented three posters at the SIRS 2026 Conference:
- Reger E, Jalbrzikowski M, Hayes RA, Bachman P, Salisbury DF, Kaess M, Michel C, Fusar-Poli P, Avram M, Andreou C, Martinetz T, Borgwardt S, Korda A, et al.
Structural Cortical Complexity as a Marker of Clinical Profile in Clinical High-Risk for Psychosis Subjects.
Poster presentation, SIRS 2026. - Reger E, Korda A, Hinzen W, He R, Avram M, Andreou C, Borgwardt S, Palaniyappan L, et al.
Structural Brain Complexity is Associated With Linguistic Complexity in Psychosis.
Poster presentation, SIRS 2026. (presenting author) - Reger E, Korda A, Andreou C, Mineur L, Avram M, Seuffert S, Martinetz T, Borgwardt S, Hinzen W, et al.
Tracking Clinical State Through Speech in Real Time: A New Nonlinear Dynamic Metric.
Poster presentation, SIRS 2026. (presenting author)