Deep neural network based analysis of resting-state functional connectivity
Approved Research ID: 66930
Approval date: May 28th 2021
Aims : Our research aim is to develop and validate deep learning methods to find the representation of the complex brain networks.
Scientific rationale: The brain communicates between its regions as a complex network to maintain its function. Understanding this complex network property can potentially shed light to reveal the biological underpinnings of human cognition and behavior. Recent deep learning methods are becoming capable of learning representation of complex network structures.
Project duration: The expected duration of the research is 24 months (2 years)
Public health impact: The proposed project is expected have impact on public mental health care. Understanding the biological underpinnings of the complex brain network can potentially guide a new way to the early diagnosis of psychiatric/neurological disorders, such as the Alzheimer's disease or schizophrenia.