Susann Machleb, cand. med.
E-Mail:
susann.machleb@medizin.uni-leipzig.de
Topic: Deficit awareness in patients with aphasia: Monitoring of progress and neuronal correlates
Max-Lennart Brandt, cand. med.
E-Mail:
max-lennart.brandt@medizin.uni-leipzig.de
Topic: Neurobiological correlates of post-stroke depression: a lesion network study
Caroline Stephan, cand. med.
E-Mail:
caro_sn2000@yahoo.de
Topic: Lesion network mapping of structural epilepsy after stroke
Florian Welle, cand. med.
E-Mail:
Florian.Welle@medizin.uni-leipzig.de
Topic: Multiparametric prediction of tissue outcome in patients with proximal intracranial vessel occlusion and mechanical recanalization
Martin Mühlig, cand. med.
E-Mail:
Martin.Muehlig@medizin.uni-leipzig.de
Topic: The role of overconfidence in anosognosia in neurological disorders
Emma Bahr, cand. med.
E-Mail:
Emma.Bahr@medizin.uni-leipzig.de
Topic: The importance of self-overestimation in patients with anosognosia
Niklas Wiemers, cand. med.
E-Mail:
Niklas.Wiemers@medizin.uni-leipzig.de
Topic: Cooperation project about language recovery with Prof. Matt Lambon-Ralph, MRC Cognition and Brain Sciences, University of Cambridge
Zhizhao Jiang, cand. rer. nat.
E-Mail:
zjiang@cbs.mpg.de
Topic: Changes in effective onnectivity in the language and multiple-demand network after left temporo-parietal and frontal stroke
A cooperative project with the Max Planck Institute for Human Cognitive and Brain Sciences (Prof. Dr. phil. habil. Gesa Hartwigsen)
Marcel Urbaniak, cand. med.
E-Mail: Marcel.Urbaniak@medizin.uni-leipzig.de
Topic:
Methodological
optimization
and
validation
of
functional
lesion
network
mapping
Alexander Groos, cand.med.
E-Mail: Alexander.Groos@medizin.uni-leipzig.de
Topic: Prediction of individual functional benefits of mechanical recanalization in acute cerebral infarction
Tim Ritter, cand. med.
E-Mail: tr12paky@studserv.uni-leipzig.de
Thema: Neurological failures and their perception in Alzheimer’s type dementia
Amelie Aden, cand. med.
Email: Ameli.Aden@medizin.uni-leipzig.de,
Thema: CNN-based prediction of multimodal clinical outcome after stroke
