Christoph Harms

This study investigates how apomorphine affects gait in a Parkinson's disease rat model, finding it improves walking distance but reduces limb velocity, with changes in cortical gamma rhythms influencing motor state transitions.

This study uses deep neurobehavioral phenotyping to identify neural features associated with gait deficits in Parkinson's disease, revealing biomarkers for potential therapeutic applications.

The paper uses machine learning to analyze movement in mouse stroke models, revealing distinct motor deficits based on lesion location.

This study identifies a novel mechanism for pial collateral development in embryos and ischemic remodeling in mice, showing distinct roles of arterial and microvascular endothelial cells.

This paper predicts stroke outcomes in mice using MRI and behavioral data, finding that lesion volume and topology are key predictors of subacute and residual deficits.

This paper develops an automated deep learning method for ischemic stroke lesion segmentation in mouse MRI, achieving high agreement with manual segmentation.

The paper investigates how serotonin modulates slow oscillations in the entorhinal cortex and identifies somatostatin interneurons activated by 5-HT2A receptor as key suppressors of these oscillations in anesthetized mice.

The paper examines structural and functional connectivity changes in a mouse model of vascular cognitive impairment, finding altered network connectivity and behavioural deficits.

This study shows that inhibiting HDAC1 and HDAC3 with RGFP109 improves motor function and corrects gene expression in a Huntington's disease mouse model.

This study shows that modifying the C-terminal of EAAT2 in a Huntington's disease mouse model reduces hypokinesia symptoms by improving glutamate clearance and reversing some HD-induced changes in EAAT2 interactions.