Martina De Lillo
Papers
1
Total Citations
23
H-Index
1
About
Martina De Lillo investigates the neural mechanisms underlying human motor control, with a particular focus on how the central nervous system coordinates multiple muscles during complex, adaptive movements. Her key research areas include motor adaptation, intermuscular coherence, and robot-mediated rehabilitation. In her highly cited 2017 study, De Lillo employed high-frequency intermuscular coherence to reveal how the brain orchestrates co-contraction of upper limb muscles when individuals adapt to novel force fields during robot-mediated reaching tasks. This work provided critical insight into the neural coupling between muscle pairs during motor learning, demonstrating that coherent intermuscular activity is a hallmark of adaptive coordination. With 23 citations, the paper has influenced subsequent research in motor neuroscience and rehabilitation engineering. De Lillo’s contributions are notable for bridging basic motor control science with applied robotics, offering a foundation for developing more effective neurorehabilitation strategies. Her work continues to shape our understanding of how the nervous system flexibly coordinates muscle activity in response to environmental demands, making her a respected voice in the field of human motor adaptation.
Research Focus
Key Achievements
Top Papers
- 1