A photo of Jing Xiang.

Director of MEG Research, Division of Neurology

Associate Professor, UC Department of Pediatrics



Biography & Affiliation


Neurological conditions, such as epilepsy and migraines, affect hundreds of millions of patients worldwide. Globally, more than 50 million people have epilepsy, while more than 45 million individuals live with dementia. Since neurological disorders impact many patients, families and caregivers, it is vital to pursue neurological scientific research.

My research areas include epilepsy, migraines and magnetoencephalography (MEG). My colleagues and I are working to develop innovative bio-magnetic technology to correctly localize epileptogenic zones or pathological brain regions for advancing successful therapeutic results for epilepsy, migraines and other neurological conditions.

When I learned about risky and invasive conventional therapy for epilepsy surgery, I became interested in magnetoencephalography and bio-magnetic technology. The conventional method for treating epilepsy is a type of surgery in which electrodes are placed directly into or on the brain, which is more prone to error and more costly. In my research, colleagues and I found that spotting magnetic signals is better than spotting electrical signals since magnetic signals can move through the skin and skull without alteration.

Our hope is that using bio-magnetic signals for detection, such as magnetoencephalography (MEG) and magnetocardiography (MCG), will eventually substitute using bioelectric signals, such as electroencephalography (EEG) and electrocardiography (ECG), for detection.

One notable discovery in my research was finding that MEG could noninvasively and correctly localize epileptogenic zones for pediatric epilepsy surgery for improved medical outcomes. My colleagues and I also discovered that the human brain produces high-frequency neuromagnetic signals, which unlocks an entirely new avenue for research and clinical applications.

Some recognitions and honors I have achieved include:

  • Becoming a reviewer for the National Institutes of Health (NIH) Biological Measures for Prognosing and Monitoring of Persistent Concussive Symptoms in Early and Middle Adolescents: Center without Walls (PCS-EMA CWOW)
  • Being an editor of Frontier in Human Neuroscience
  • Being a member of the Data Sharing Committee in MEG North America

I have more than 20 years of expertise in my field and began working at Cincinnati Children’s Hospital Medical Center in 2006. My research has been published in Frontiers in Human Neuroscience, The Journal of Headache and Pain and World Neurosurgery.

Clinical Interests

Epilepsy and pre-operative functional mapping

Academic Affiliation

Associate Professor, UC Department of Pediatrics

Research Divisions

Neurology, Imaging


MD: Postgraduate Medical School, Beijing, China, 1994.

PhD: The Graduate University for Advanced Studies, Okazaki, Japan, 1998.


The relationship between epilepsy and cognitive function in benign childhood epilepsy with centrotemporal spikes. Li, Y; Sun, Y; Zhang, T; Shi, Q; Sun, J; Xiang, J; Chen, Q; Hu, Z; Wang, X. Brain and Behavior. 2020; 10.

Changes of Ictal-Onset Epileptic Network Synchronicity in Childhood Absence Epilepsy: A Magnetoencephalography Study. Sun, Y; Li, Y; Shi, Q; Wu, C; Sun, J; Chen, Q; Hu, Z; Xiang, J; Wang, X. Frontiers in Neurology. 2020; 11.

The relationship between neuromagnetic activity and cognitive function in benign childhood epilepsy with centrotemporal spikes. Li, Y; Sun, Y; Niu, K; Wang, P; Xiang, J; Chen, Q; Hu, Z; Wang, X. Epilepsy and Behavior. 2020; 112:107363-107363.

A Novel MEGNet for Classification of High-Frequency Oscillations in Magnetoencephalography of Epileptic Patients. Liu, J; Sun, S; Liu, Y; Guo, J; Li, H; Gao, Y; Sun, J; Xiang, J. Complexity. 2020; 2020:1-9.

Automatic and Accurate Epilepsy Ripple and Fast Ripple Detection via Virtual Sample Generation and Attention Neural Networks. Guo, J; Li, H; Pan, Y; Gao, Y; Sun, J; Wu, T; Xiang, J; Luo, X. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020; 28:1710-1719.

Frequency-specific changes in the default mode network in patients with cingulate gyrus epilepsy. Leng, X; Xiang, J; Yang, Y; Yu, T; Qi, X; Zhang, X; Wu, S; Wang, Y. Human Brain Mapping. 2020; 41:2447-2459.

The Effect of Side of Implantation on the Cortical Processing of Frequency Changes in Adult Cochlear Implant Users. Liang, C; Wenstrup, LH; Samy, RN; Xiang, J; Zhang, F. Frontiers in Neuroscience. 2020; 14.

A Preliminary Study of the Effects of Attentive Music Listening on Cochlear Implant Users’ Speech Perception, Quality of Life, and Behavioral and Objective Measures of Frequency Change Detection. Firestone, GM; McGuire, K; Liang, C; Zhang, N; Blankenship, CM; Xiang, J; Zhang, F. Frontiers in Human Neuroscience. 2020; 14.

Altered effective connectivity network in patients with insular epilepsy: A high-frequency oscillations magnetoencephalography study. Yin, C; Zhang, X; Xiang, J; Chen, Z; Li, X; Wu, S; Lv, P; Wang, Y. Clinical Neurophysiology. 2020; 131:377-384.

Differences Between Interictal and Ictal Generalized Spike-Wave Discharges in Childhood Absence Epilepsy: A MEG Study. Shi, Q; Zhang, T; Miao, A; Sun, J; Sun, Y; Chen, Q; Hu, Z; Xiang, J; Wang, X. Frontiers in Neurology. 2020; 10.