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Principal Investigator  
Principal Investigator's Name: Jiayin HUANG
Institution: Hospital
Department: Senile psychiatric department
Country:
Proposed Analysis: The purpose of our study is to combine the cognitive behavioral paradigm (risk decision task) with the magnetic resonance technique and utilize the financial wind of neuroeconomics Risk tasks: IGT (Iowa gambling task) and BART (Balloon analogue risk task), The research would explore the neural mechanism of abnormal risk decision making in degenerative changes of the brain, especially the frontal lobo-subcortical neural network relationship by analyzing the date of normal elders and the elders who have amnestic mild cognitive impairment. This study specifically includes the following two main contents: 1. To investigate the regulatory role of prefrontal - subcortical network in abnormal risk decision making in aMCI patients. The data of the resting-state FMRI and mission- state FMRI were extracted to propose a common brain network between IGT and BART tasks. And focusing on two important subcortical structures: striatum and amygdala. Analyzing the influence of "double network" (frontal lobe – striatum & frontal lobe-amygdala) on the risk decision making of aMCI patients. 2. By using multi-modality data analysis and machine learning, to explore the influence of the network integrity of frontal lobe-basal ganglia network and frontal lobe-apricot on risk decision ability. Using imaging structural and functional data, as well as behavioral data, to further explore the importance of the structural and functional integrity of the prefrontal - subcortical network in maintaining normal risk decision. Machine learning (e.g., MVPA) was used to detect the differences between the two groups of subjects in brain networks related to risk decision. A "dual network model" was established to predict the occurrence of cognitive impairment in the elderly.
Additional Investigators  
Investigator's Name: Ping Ren
Proposed Analysis: The purpose of our study is to combine the cognitive behavioral paradigm (risk decision task) with the magnetic resonance technique and utilize the financial wind of neuroeconomics Risk tasks: IGT (Iowa gambling task) and BART (Balloon analogue risk task), The research would explore the neural mechanism of abnormal risk decision making in degenerative changes of the brain, especially the frontal lobo-subcortical neural network relationship by analyzing the date of normal elders and the elders who have amnestic mild cognitive impairment. This study specifically includes the following two main contents: 1. To investigate the regulatory role of prefrontal - subcortical network in abnormal risk decision making in aMCI patients. The data of the resting-state FMRI and mission- state FMRI were extracted to propose a common brain network between IGT and BART tasks. And focusing on two important subcortical structures: striatum and amygdala. Analyzing the influence of "double network" (frontal lobe – striatum & frontal lobe-amygdala) on the risk decision making of aMCI patients. 2. By using multi-modality data analysis and machine learning, to explore the influence of the network integrity of frontal lobe-basal ganglia network and frontal lobe-apricot on risk decision ability. Using imaging structural and functional data, as well as behavioral data, to further explore the importance of the structural and functional integrity of the prefrontal - subcortical network in maintaining normal risk decision. Machine learning (e.g., MVPA) was used to detect the differences between the two groups of subjects in brain networks related to risk decision. A "dual network model" was established to predict the occurrence of cognitive impairment in the elderly.