Encoding of kinematics and effector choice in reorganized brain networks after stroke (C01)

• Subject Area: Clinical Neurology; Neurosurgery and Neuroradiology
• Term: from 2011 to 2023
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 178316478

The results of the past funding periods point towards parieto-frontal connectivity as a crucial element in recovery of motor function after stroke. Now, we aim to apply our findings to more complex motor behavior and cognitive processes like decision making in stroke patients. To this end, we will combine kinematics, structurally informed EEG network metrics, virtual-reality based interventions and network modulation by transcranial AC stimulation. Moreover, for the first time the spinal motoneuron pool (measured by functional MRI) will be integrated into network models in order to improve their robustness and predictive properties. With this thematic continuation and extension towards behavioral relevance, targeted network modulation and improved modeling, the project will move on towards network-based therapeutic interventions in stroke.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 936: Multi-Site Communication in the Brain
• Applicant Institution: Universität Hamburg
• Project Head: Professor Dr. Christian Gerloff