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About

Ahsan Khan is a leading researcher in neurorehabilitation, whose work bridges the gap between engineering and neuroscience to restore motor function after stroke. His primary research areas focus on the neural mechanisms underlying recovery, specifically through robot-assisted training and non-invasive brain stimulation. Khan’s major contributions include demonstrating how robotic hand training induces measurable changes in brain complexity and connectivity, as evidenced by his landmark 2020 study (25 citations) which combined electroencephalography and functional MRI to map neuroplasticity. He further advanced the field by exploring the neural correlates of motor recovery in chronic stroke patients using multimodal neuroimaging (2021, 10 citations). Most notably, his pioneering 2024 pilot randomized controlled trial (7 citations) investigated the synergistic effects of high-definition transcranial direct current stimulation (HD-tDCS) paired with EMG-driven robotic hand training, targeting individual motor hotspots to overcome stroke heterogeneity. This personalized approach represents a significant step toward precision rehabilitation. With a growing citation impact and a focus on translating mechanistic insights into clinical practice, Khan’s work is shaping the future of stroke recovery, offering new hope for patients with chronic motor deficits.