Hanna Pankka
Papers
1
Total Citations
8
H-Index
1
About
Hanna Pankka is a neuroscientist whose research lies at the intersection of non-invasive brain stimulation, motor neurophysiology, and computational modeling. Her work focuses on refining transcranial magnetic stimulation (TMS) methodologies, particularly closed-loop TMS timing using advanced neural network models like Wavenet, which enhances the precision of brain stimulation protocols. She has made significant contributions to understanding motor cortex (M1) neurophysiology in children, notably through robotic TMS mapping during motor learning and neuromodulation. Her studies reveal that while large-scale changes in map area and volume are not always observed, shifts in the center of gravity (COG) may serve as a novel marker of neuroplastic change. With over 8 citations for her key 2021 paper, Pankka’s work is gaining traction in the field. She has also been involved in developing controlled studies to better understand the role of motor learning in pediatric populations. Her research bridges engineering and clinical neuroscience, offering new tools for assessing brain function in developing populations. Pankka’s dedication to methodological innovation and pediatric neuromodulation positions her as an emerging leader in non-invasive brain stimulation research.
Research Focus
Key Achievements
Top Papers
- 1Improving closed-loop TMS timing using the Wavenet model8 citations · 2021