Xujun Duan is a professor of Biomedical Engineering at the University of Electronic Science and Technology of China, Chengdu, China. She received her PhD in Biomedical Engineering at the University of Electronic Science and Technology of China, and conducted a Joint PhD study at Stanford University under the supervision of Dr. Vinod Menon. Her long-term research goal is to address how brain anatomy, function and connectivity are altered in autism spectrum disorder (ASD), and how they vary across the population, by using multi-modal brain imaging techniques and computational methods.
Xujun Duan
Professor of biomedical engineering
University of Electronic Science and Technology of China
From this contributor
Magnetic stimulation for autism: Q&A with Xujun Duan
A new individualized approach to transcranial magnetic stimulation may one day be an effective treatment for social and communication difficulties, if the results from Duan’s small preliminary trial pan out.
Magnetic stimulation for autism: Q&A with Xujun Duan
By
Angie Voyles Askham
11 September 2023 | 6 min read
Explore more from The Transmitter
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
Rajesh Rao reflects on predictive brains, neural interfaces and the future of human intelligence
Twenty-five years ago, Rajesh Rao proposed a seminal theory of how brains could implement predictive coding for perception. His modern version zeroes in on actions.
By
Paul Middlebrooks
18 December 2024 | 97 min listen
In memoriam: Yves Frégnac, influential and visionary French neuroscientist
Frégnac, who died on 18 October at the age of 73, built his career by meeting neuroscience’s complexity straight on.
In memoriam: Yves Frégnac, influential and visionary French neuroscientist
Frégnac, who died on 18 October at the age of 73, built his career by meeting neuroscience’s complexity straight on.
By
Bahar Gholipour
18 December 2024 | 9 min read
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.
Explaining ‘the largest unexplained number in brain science’: Q&A with Markus Meister and Jieyu Zheng
The human brain takes in sensory information roughly 100 million times faster than it can respond. Neuroscientists need to explore this perceptual paradox to better understand the limits of the brain, Meister and Zheng say.
By
Claudia López Lloreda
17 December 2024 | 8 min read