This project aims to explore effective targets and stimulation paradigms for Deep Brain Stimulation (DBS) in the treatment of Major Depressive Disorder (MDD) through brain imaging and neuromorphic computing methods. We will address the current challenges in DBS clinical treatment for MDD, such as target brain region selection, biomarker identification, and stimulation parameter optimization, by focusing on the following aspects:
1. Brain Network Construction and Analysis:
* Based on brain imaging data, construct structural and functional brain networks using brain parcellation maps to study the relationship between individual differences in depression and changes in brain networks.
2. Study of Brain Iron Deposition and Depression:
* Using brain imaging data, explore the relationship between depression and brain iron deposition through brain susceptibility information, aiming to identify biomarkers of the pathophysiological mechanisms of depression.
3.Neuromorphic Computing and Simulation Stimulation:
* Utilize multimodal brain connectivity patterns and neurodynamic theoretical methods to establish a biologically constrained brain-inspired intelligence model. Simulate neural signals of depression patients and perform virtual patient stimulation to observe changes in brain functional networks, thereby exploring optimal targets and stimulation paradigms for DBS.
