• Select the area you would like to search.
  • ACTIVE INVESTIGATIONS Search for current projects using the investigator's name, institution, or keywords.
  • EXPERTS KNOWLEDGE BASE Enter keywords to search a list of questions and answers received and processed by the ADNI team.
  • ADNI PDFS Search any ADNI publication pdf by author, keyword, or PMID. Use an asterisk only to view all pdfs.
Principal Investigator  
Principal Investigator's Name: Yujie Chen
Institution: Wuhan University of Science and Technology
Department: School of Information Science and Engineering
Proposed Analysis: Alzheimer’s disease (AD) is a chronic neurodegenerative disease that worsens over time and is the most common cause of dementia . The number of people suffering from AD worldwide is expected to be approximately 91 million in 2050 .Depending on the physical state and cognitive level of patients, the development of AD can be divided into three stages: normal control (NC), mild cognitive impairment (MCI) and AD . Previous studies have demonstrated that approximately 10–15% of MCI patients show AD symptoms in a short period every year. Therefore, MCI patients can be further divided into stable MCI (sMCI) and progressive MCI (pMCI). During the progression of AD, brain damage is irreversible. The current drugs for AD can only improve the cognitive impairment of patients with mild symptoms, making these drugs effective only when used in the early stages of the disease. However, it is difficult for doctors to make an accurate AD diagnosis. To rule out other forms of dementia, they need to evaluate a patient’s comprehensive medical history, combined with neuroimaging examination, laboratory examination and mental status examination. Therefore, it is beneficial to develop reliable computer-aided methods to accurately diagnose an AD patient’s condition as early as possible.
Additional Investigators