Lukas Jaeger
ETH Zurich, University Hospital of Zurich, University of Zurich
Papers
9
Total Citations
325
H-Index
8
About
Lukas Jaeger is a neuroscientist and rehabilitation engineer whose research sits at the intersection of motor learning, neuroimaging, and robot-assisted gait rehabilitation. His work has made significant contributions to understanding how the brain controls and adapts locomotion, with particular focus on the supraspinal mechanisms underlying walking and gait recovery in patients with neurological disorders such as spinal cord injury and stroke. Jaeger's most influential work explores how robotic training strategies that manipulate movement errors can optimize motor learning during complex locomotor tasks. His 2014 study on error-based learning (56 citations) and his 2017 investigation into error augmentation's effects on brain activation (76 citations) together established foundational principles for designing more effective rehabilitation protocols. Complementing this, his neuroimaging research — including highly cited fMRI studies on active and passive stepping (80 citations) and reliable test-retest protocols (22 citations) — has helped clarify how supraspinal brain regions reorganize during gait rehabilitation. Notably, Jaeger also contributed to the technical development of MR-compatible robotic devices, enabling the precise brain imaging that underpins his clinical research. With cumulative citations exceeding 325, his interdisciplinary contributions have meaningfully advanced evidence-based approaches to locomotor rehabilitation.
Research Focus
Key Achievements
Top Papers
- 1Brain activation associated with active and passive lower limb stepping80 citations · 2014
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- 3Learning a locomotor task: with or without errors?56 citations · 2014
- 4Optimizing learning of a locomotor task: Amplifying errors as needed36 citations · 2014
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- 9Learning a Locomotor Task: With or without Errors?5 citations · 2013