Alzheimer's Disease (AD)

The study will collect PET/MR multimodal imaging data, including brain structure, cerebral perfusion, brain function, glucose metabolism, and Aβ deposition, from 100 healthy volunteers, 250 patients with MCI, and 300 patients with AD. Abnormal changes in imaging biomarkers will be analyzed quantitatively, specifically for AD, to determine the specific quantitative threshold for diagnosing AD using 18F-FDG PET and 18F-AV-45 PET and establish imaging biomarkers for early diagnosis of AD. Longitudinal follow-up will be conducted to analyze multimodal imaging data dynamically and discover imaging biomarkers for early prediction of subjective cognitive decline (SCD), MCI, and AD progression.

Parkinson's Disease (PD)

The study aims to collect PET/MR multimodal imaging data from 250 patients with rapid eye movement sleep behavior disorder (RBD) and 300 patients with Parkinson's disease (PD) across multiple centers. The imaging data will include brain structure, brain iron deposition, brain function, glucose metabolism, and vesicular monoamine transporter levels, among other imaging biomarkers. Abnormal changes in these imaging biomarkers will be analyzed quantitatively to determine the specific quantitative threshold for diagnosing PD using 18F-FDG PET and 18F-AV-133 PET and establish imaging biomarkers for early diagnosis of PD. Longitudinal follow-up will be conducted to dynamically analyze the multimodal imaging data and discover imaging biomarkers for early prediction of RBD and PD progression.

Epilepsy(EP)

The study aims to collect PET/MR multimodal imaging data from 550 patients with epilepsy across multiple centers. The imaging data will include brain structure, brain function, glucose metabolism, and microglial cell activity, among other imaging biomarkers, to identify abnormal changes characteristic of epilepsy. Key features will be quantitatively analyzed to determine the specific quantitative threshold for diagnosing epilepsy using 18F-FDG PET and 18F-DPA714 PET and establish imaging biomarkers for epilepsy diagnosis. Using pathological results as the gold standard, the analysis of imaging data from lesions and surrounding brain tissue aims to discover imaging biomarkers that differentiate lesions from normal brain tissue and establish imaging markers for precise localization of epilepsy lesions.

Malignant Brain Tumors(MBT)

A total of 550 patients with malignant brain tumors (gliomas, metastatic tumors, and lymphomas) were collected from multiple centers for PET/MR multimodal imaging of brain structure, brain function, glucose metabolism, and amino acid metabolism, analyzing the characteristic abnormal changes in imaging markers. Using pathological results as the gold standard, specific quantitative threshold values for diagnosing different pathological types of malignant brain tumors using 18F-FDG PET and 18F-FET PET were determined, establishing imaging biomarkers for the diagnosis of malignant brain tumor pathology. Analysis of imaging data of the tumor and surrounding brain tissue revealed imaging markers for distinguishing tumors from surrounding normal brain tissue, enabling precise localization of malignant brain tumors.