Nature Communications · 2026
Distinct antidepressant therapies act on a common brain network
Gong-Jun Ji*, Wenqiang Xu*, Juan Zhang*, Qianqian Li*, et al. Accepted.
The Ji Laboratory integrates multimodal MRI, BOLD signal dynamics, white matter functional imaging, brain connectomics, and personalized non-invasive neuromodulation to understand human brain disorders and develop clinically translatable interventions.
Cognitive neuroscientist and clinician-scientist focused on translational neuroimaging, abnormal psychology, and network-guided brain stimulation.
Prof. Gong-Jun Ji leads translational research at the intersection of cognitive neuroscience, clinical psychiatry, functional MRI, brain networks, and personalized neuromodulation. His work has helped establish white matter fMRI as an emerging direction for understanding brain function beyond traditional gray matter-centered models.
The laboratory develops theoretical frameworks, computational methods, and software tools for imaging brain white matter function, identifying disorder-related network mechanisms, and guiding individualized transcranial magnetic stimulation for mental health conditions.
We combine neuroimaging, network neuroscience, computational modeling, and clinical translation to study the biological basis of abnormal psychological states and brain disorders.
Developing analytical methods and theoretical frameworks for imaging functional activity and connectivity in human brain white matter.
Characterizing temporal dynamics, variability, and physiological mechanisms of resting-state and task-related BOLD signals.
Mapping functional and structural connectomes to reveal network mechanisms underlying cognition, behavior, and psychiatric symptoms.
Building patient-specific targeting strategies for repetitive transcranial magnetic stimulation using individual brain networks and clinical phenotypes.
Investigating schizophrenia, depression, auditory verbal hallucinations, epilepsy, and other brain disorders through imaging-guided clinical studies.
Applying machine learning and computational modeling to discover imaging biomarkers and support precision diagnosis and treatment.
The laboratory develops practical research tools that support personalized TMS navigation and specialized white matter fMRI analysis.
A personalized TMS navigation platform designed to support individualized target localization and network-guided neuromodulation. The platform is available through the free cloud service yun.unistim.cn.
A specialized analysis package for white matter fMRI data, supporting researchers who study functional signals, connectivity patterns, and network organization in white matter.
Publications span high-impact neuroscience, psychiatry, radiology, brain stimulation, and computational neuroimaging journals.
Gong-Jun Ji*, Wenqiang Xu*, Juan Zhang*, Qianqian Li*, et al. Accepted.
Guozheng Feng, Kexin Wang, Yichen Wang, Guolin Ma, Jian Cheng, Vince D. Calhoun, Kai Wang, Gong-Jun Ji#, Ni Shu#.
Yueling Liu*, Wenqiang Xu*, Xiya Zhao*, et al.; Gong-Jun Ji#.
Gong-Jun Ji*, Michael D. Fox*, Mae Morton-Dutton, et al.
Qiang Hua, Lu Wang, Kongliang He, Jinmei Sun, Wenqiang Xu, et al.
Gong-Jun Ji#, Jinmei Sun#, Qiang Hua, Li Zhang, Ting Zhang, et al.
Gong-Jun Ji, Zaixu Cui, Ryan C.N. D'Arcy, Wei Liao, Bharat Biswal, Qing Zhang, et al.
Jinmei Sun#, Xin Chen#, Jinying Han, Mengqi Wang, Ziye Zhao, Lili Hu, Gong-Jun Ji*, Kai Wang*, Panpan Hu*.
The laboratory has received continuous support from the National Natural Science Foundation of China.
NSFC 82371507
Personalized pathological feature-guided brain network mechanism and rTMS for schizophrenia.
Total cost: ￥490,000
NSFC 81971689
Network mechanism of auditory verbal hallucination and repetitive TMS treatment.
Total cost: ￥550,000
NSFC 81401400
Pathophysiology mechanism of memory impairment in children with Rolandic epilepsy.
Total cost: ￥230,000
A collaborative team of clinicians, neuroscientists, engineers, students, and research staff.
Principal Investigator
Researcher
Graduate Researcher
Researcher
Replace these placeholder items with your laboratory news, awards, publications, conferences, and student achievements.
Work on common brain networks of antidepressant therapies accepted by Nature Communications.
Prof. Ji recognized with the Research.com Rising Star of Science Award.
Perspective on imaging brain white matter function using resting-state fMRI published in Science Bulletin.
We are looking for students, postdoctoral researchers, clinicians, engineers, and collaborators interested in brain imaging, BOLD signals, white matter fMRI, connectomics, TMS, and computational psychiatry.