Papers
2
Total Citations
104
H-Index
2
About
Young Noh is a leading researcher in the neuroscience of cognitive aging, specializing in how multi-domain cognitive training—particularly robot-assisted interventions—can induce structural brain changes in the elderly. Her most cited work (98 citations) is a landmark 2015 study demonstrating that traditional and robot-assisted multi-domain cognitive training significantly alters cortical thickness in healthy, community-dwelling seniors. This single-blind randomized controlled trial provided some of the first MRI-based evidence that cognitive training produces measurable neuroplastic changes, moving beyond mere cognitive test scores to validate training effects at the neural level. Noh’s earlier 2013 work laid the groundwork by establishing the need for neuroimaging as a more valid outcome measure in cognitive training research. Her contributions are pivotal for developing non-pharmacological interventions to combat age-related cognitive decline, with implications for robotics in geriatric care. By bridging cognitive science, neuroimaging, and assistive technology, Noh’s research offers compelling evidence that targeted training can reshape the aging brain, opening new avenues for healthy cognitive aging and dementia prevention.
Research Focus
Key Achievements
Top Papers
- 1
- 2