Johannes Netz
Papers
1
Total Citations
51
H-Index
1
About
Johannes Netz is a leading researcher in neurorehabilitation, with a focus on motor recovery after stroke. His work bridges robotic-assisted training and neuroplasticity, particularly exploring how Hebbian-type stimulation—a form of paired associative stimulation—can enhance cortical reorganization. In his most cited study (2011, 51 citations), Netz demonstrated that combining transcranial magnetic stimulation (TMS) with robot-assisted therapy in stroke patients promotes use-dependent plasticity in the primary motor cortex (M1). This seminal work provided early evidence that timing-dependent, Hebbian stimulation during active movement can amplify training-induced motor gains, offering a novel framework for post-stroke rehabilitation. Beyond this, Netz has contributed to understanding how task-specific, repetitive training reshapes cortical maps, and his findings have informed the design of closed-loop neurostimulation protocols. With a citation impact that underscores the translational relevance of his research, Netz continues to shape the intersection of robotics, brain stimulation, and motor learning—a critical area for developing more effective, personalized therapies for neurological injury.
Research Focus
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Top Papers
- 1