Danilo
Connectivity endophenotypes of brain disease
The lab: The Brain Network Modelling Group is dedicated to the multi-modal analysis of cognitive and affective networks as well as their disturbances by neurological and psychiatric disorders. To this end, we employ functional and structural MRI (with research dedicated 3T, 4T and 9.4T scanners available), meta-analyses of neuroimaging results, database-driven modeling as well as analyses of structural (diffusion-weighted imaging), functional (resting-state analysis) and effective (Dynamic Causal Modeling) connectivity analyses.
Project: Developing and applying multi-variate analyses for clinical application
- Neuro-psychiatric disorders are characterized by multiple, often interacting disturbances in brains structure, function and connectivity. How may these be best used to classify patients from controls? Do they relate to clinical phenotypes? Can distinct sub-populations of patients be identified from neuroimaging?
- The key aim of this work is to employ cutting-edge methods (cluster-analyses, machine-learning, multi-variate regression) for the analysis of volumetric data, resting-state functional connectivity and diffusion weighted imaging in order to identify and evaluate neurobiological endophenotypes that may answer the above questions.
- Comprehensive neuroimaging and clinical/phenotypical data has already been collected for large cohorts of patients with depression, schizophrenia and PD in a multi-center setting, with new acquisitions currently being performed. These resources allow the project to focus on data analysis and modeling. Developing a personal focus on one of these disorders is strongly supported.
Qualifications:
- PhD in a field related to neuroimaging with solid publication record
- Proficiency in programming (MATLAB, Python) and/or
- Experience in resting-state or DWI analysis
Administrative: Funding is secured for an initial period of 3 years. Payment will correspond to salary grade 13 of the German Collective Bargaining Agreement for the Civil Services (TVöD).
To apply: Send a CV, motivation letter and contact details of two academic referees to S.Eic...@fz-juelich.de and/or meet me at the OHBM conference!
Univ.-Prof. Dr. med. Simon B. Eickhoff
Cognitive Neuroscience Group
Institute of Clinical Neuroscience and Medical Psychology
Heinrich-Heine University Düsseldorf
Telefon: +49 211 81 13018
Fax: +49 211 81 13015
eMail: Simon.Eickhoff@uni-duesseldorf.de
and
Brain Network Modelling Group
Institute for Neuroscience and Medicine (INM-1)
Research Center Jülich
Telefon: +49 2461 61 8609
Fax: +49 2461 61 2820
eMail: S.Eic...@fz-juelich.de