There are many active research projects accessing and applying shared ADNI data. Use the search above to find specific research focuses on the active ADNI investigations. This information is requested annually as a requirement for data access.
| Principal Investigator | |
| Principal Investigator's Name: | Nan Yan |
| Institution: | Shenzhen Institutes of Advanced Technology |
| Department: | AIMSL |
| Country: | |
| Proposed Analysis: | As the most common type of senile dementia, Alzheimer's disease (AD) shows progressive and irreversible damage to cognitive function. Early detection of AD is benefit to provide appropriate cognitive interventions to patients and delay the process of cognitive impairment. Language deficit, one of the important clinical symptoms of preclinical and early AD, is significantly related to various development stages of AD course of disease. Therefore, the objective measures of the speech deficit of early AD in different language domains will provide significant information for AD early detection and diagnosis. However, high-sensitivity, high-specificity speech and language deficit characteristics that can reflect neural information transmission deficits in AD are not available. The proposed project will intend language deficiency of early AD with the following aspects from the point of view of behavioral and neural mechanism: 1) Feature extraction methods of early AD patients’ abnormal speech characteristics in Chinese mandarin language; 2) Exploring the lesion changes in the dynamic reorganization of large-scale language functional connectivity networks on speech production in early AD patients; 3) Study the relevancy between damage features of brain language functional network and abnormal speech characteristics of AD patients, and then obtain the speech feature set sensitive to early AD; 4) Establish classifying mode with multi-task deep learning and achieve the recognition to early AD patients. The research achievements not only will provide crucial academic value to the research of neural mechanism of the lesion of language functional connectivity network due to Alzheimer's disease, but will contribute the important technology and theoretical basis to early screening of AD patients by using non-invasive, telemedicine and effective approach. It has important academic value and good prospect for clinical pplication. |
| Additional Investigators |
