Susanne Büdenbender, Mounia Habbati
Alexander Hartmann, Melek Kara
T +49 69 63 01 - 5920
F +49 69 63 01 - 5843
The laboratory for neuroimaging is headed by Prof. Dr. Christine Ecker, who joined the GU as Heisenberg Professor in December 2015. Research project within the team focus on the analysis of human Magnetic Resonance Imaging (MRI) data with the aim of developing biomarkers that can be leveraged to (1) understand the neurobiological underpinnings of complex neurodevelopmental conditions such as Autism Spectrum Disorder (ASD) and Attention Deficit Hyperactivity Disorder (ADHD), and to (2) provide targets for developing and monitoring novel pharmacotherapies and interventions. For this purpose, we acquire a variety of image modalities that include structural MRI, Diffusion Tensor Imaging (DTI), and resting state functional neuroimaging (rsfMRI), which are analyzed using automated pipelines and software packages that include FreeSurfer, FSL, and software developed in-house or by collaborators. In addition to conventional statistical techniques, we also employ multivariate pattern classification techniques for making a prediction on the individual- or case-level based on neuroimaging data.
Research projects within the group are funded by the German Research Foundation (DFG), the Medical Research Council UK (MRC), and the EU.
Ecker, C., Andrews, D. S., Gudbrandsen, C. M., Marquand, A. F., Ginestet, C. E., Daly, E. M., et al. (2017). Association Between the Probability of Autism Spectrum Disorder and Normative Sex-Related Phenotypic Diversity in Brain Structure. JAMA Psychiatry. http://doi.org/10.1001/jamapsychiatry.2016.3990
Ecker, C., Andrews, D., Dell'Acqua, F., Daly, E., Murphy, C., Catani, M., et al. (2016). Relationship Between Cortical Gyrification, White Matter Connectivity, and Autism Spectrum Disorder. Cerebral Cortex (New York, N.Y. : 1991), 26(7), 3297–3309.