Stiffness in nonlinear brain connectome: Identifying effective strategies for modulating neurocognition and treating neuropsychiatric disorders
Project Description
Supported by RGC Senior Research Fellowship Scheme (SRFS), this project aims to integrate our knowledge of nonlinear brain networks to address an important and impactful question on neuromodulation. We aim to establish a new theoretical and experimental framework based on stiff properties of large-scale brain networks to identify effective strategies and brain network targets for modulating neurocognition and treating neuropsychiatric disorders with non-invasive neuromodulation technology, such as magnetic stimulation. In the long term, we hope this project’s outcomes will lead to further high impact collaborative projects of applications in neuroenhancement, prevention, treatment and rehabilitation of clinical disorders.
This project covers brain network modelling, machine learning, and experiment data collection and processing. It will provide very rich and unique opportunities to train young talents for transdisciplinary brain studies. We aim to recruit and support outstanding young researchers of diverse backgrounds from all over the world. We will provide mentorship and guidance to those young researchers to work complementarily to achieve excellent and innovative research outcomes, which is essential for them to secure research positions and to advance their careers. Our active international collaborative network will provide opportunities for group members to conduct innovative interdisciplinary projects and research exchanges.
Project Investigator
Professor ZHOU Changsong (Department of Physics)
Project Collaborators
- Professor TANG Qianyuan (Department of Physics)
- Professor YU Rongjun (Academy of Wellness and Human Development)
- Humboldt University Berlin
- Xi’an Jiaotong University
Funding/ Award
- Research Grants Council - Senior Research Fellowship Scheme
