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Markus gave his introductory lecture and celebrated the final step of the habilitation to become a Privatdozent in Experimental Neurology.
Markus gave a lecture at the retreat of the BIOME graduate school (University Duisburg-Essen).
Markus contributed an invited talk at the preclinical MRI pre-congress and a lightning talk with poster presentation about diffusion tract masks. Aref presented a poster on recurrence plot.
Markus together with Anna Grönke (University Hospital Cologne, MeDIC) Oya Beyan and Ekaterina Kutafina (University of Cologne, Biomedical Informatics) receive funding to establish a translational stroke neuroimaging data hub at the University Hospital Cologne.
The AMIRE project was initiated in 2023 by Markus Aswendt and Giovanna Ielacqua (Max Delbrück Center Berlin), both EMIM Study group: Standardization, as a collaborative effort to improve quality control, quality assurance procedures, standardization, and reproducibility in small animal MRI. The initiative is currently split into two projects: 1) the development of an automated quality control tool for retrospective identification of bad quality images from anatomical, structural and functional MRI, and 2) the quantification of cross-lab measurement stability using standardized MRI phantoms. In this first dedicated session, we have introduced the project and reported on the current status and future directions. As we were aware of the gap between preclinical and clinical efforts for standardization, we invited an expert in clinical MRI, Charlotte Robert (Paris-Saclay University), who summarized the current status and what had already been achieved. We then transitioned to the panel discussion with two controversial statements by Louise van der Weerd (Leiden University Medical Center) and Noam Shemesh (Champalimaud Centre for the Unknown), who argued for and against standardization, respectively.
In collaboration with Maged Goubran (Toronto, Canada) and Christoph Leuze (Stanford, USA), we receive funding from the Chan Zuckerber Foundation and the COMULISglobe project to "Demystifiy white matter plasticity by cross-connectome mapping with in vivo diffusion imaging and light sheet microscopy".
We organized a practical guide to overcome the reproducibility crisis in small animal neuroimaging: workflows, tools, and repositories. Thanks to our excellent contributors, the workshop was a great success. GitHub Link to the workshop material:
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Markus Aswendt & Aref Kalantari (Cologne, Germany):
- Translational stroke research
- Development of mouse neuroimaging analysis, database, and sharing protocols
- GitHub
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Joanes Grandjean (Nijmegen, The Netherlands):
- Developer of standardized fMRI protocols
- Initiator of first rodent MRI multi-center studies
- Advocate of MRI data sharing (BIDS)
- GitHub
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Gabriel Desrosiers-Gregoire (Montreal, Canada):
- RABIES developer - open source image processing pipeline for rodent fMRI
- GitHub
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Michael Hanke & Michał Szczepanik (Jülich, Germany):
- DataLad developer
- Website
European Society for Magnetic Resonance in Medicine and Biology 2023 in Basel, Switzerland
For the seminar series of the Department of Experimental Neurology, Markus gave a presentation on "Demystifying astrogliosis after cortical stroke in mice using functional connectivity analysis". Markus together with Aref and Fatemeh enjoyed a fruitful discussion with our long-standing collaboration partner Prof. Philipp Boehm-Sturm and colleagues.
- Prisca Kuhnhäuser (University of Cologne): Identification and manipulation of spasticity-related extrapyramidal motor nuclei in mice
- Jule Ullert (Hochschule Bonn-Rhein-Sieg): Histological characterization of experimental internal capsule strokes
- Annika Vohn (University of Cologne): Characterization of secondary neurodegeneration in the spinal cord after cortical stroke
- Frederique Wieters (University of Cologne, Germany): Neural circuits of spasticity after experimental stroke
- Sebastian Kloubert (University of Düsseldorf, Germany) Automated classification of sensorimotor deficit in stroke mice
- Franziska Ziolkowski (University of Düsseldorf, Germany): Classification of motor deficits in beam walking using machine learning
Enhanced transhemispheric connectivity after cortical stroke in mice. See the post pitch here:
- Niklas Pallast (University of Cologne, Germany): A versatile registration and analysis pipeline for multimodal brain imaging data
- Jan Götz (University of Cologne, Germany) Recovery-related genes in cortical strokes
- Sebastian Kloubert (University of Düsseldorf, Germany): Automated movement analysis of mouse beam walking using neural networks
- Veronika Fritz (University of Cologne, Germany) Neural tracing in mice with cortical stroke