*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 withsolid 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.Eickhoff(a)fz-juelich.de
<mailto:S.Eickhoff@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(a)uni-duesseldorf.de
<mailto: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.Eickhoff(a)fz-juelich.de <mailto:S.Eickhoff@fz-juelich.de>
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Forschungszentrum Juelich GmbH
52425 Juelich
Sitz der Gesellschaft: Juelich
Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher
Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender),
Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt,
Prof. Dr. Sebastian M. Schmidt
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