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卫健学术沙龙:基于5G+人工智能的心理/精神健康服务与管理体系建设
Gauging spacetime inversions
AI合成化学前沿与战略研讨会暨国家智能化学数据中心启动会
Macro to micro- and nano-scale fluidic engineering for analytical chemistry
报告题目:
Functional Neural Imaging of Normal and Disordered Brain(正常和患病大脑的功能性神经成像)
 报告人:
Randy Buckner
Howard Hughes Investigator
Professor of psychology, 
Center for Brain Science at Harvard University
Associate director for the Martinos Center for Biomedical Imaging 
at Massachusetts General Hospital/Harvard Medical School
报告时间:
2008-03-27 15:30
报告地点:
医学科学楼 B321
主办单位:
医学院
  简介:

Functional brain imaging has revolutionized the study of neurological and psychiatric disease. Led by innovations in technology and new analysis techniques, imaging methods are now capable of observing subtle structural changes, functional disruption, and molecular events that precede disease. Here I will focus on the study of aging and dementia to illustrate the potential of melding imaging technology with clinical exploration. Specifically, contrasting normal aging and aging associated with Alzheimer¹s disease has revealed three lessons about the process of brain aging. First, normal aging and Alzheimer¹s disease affects distinct brain cascades that can be formally dissociated from one another. Second, certain cascades are revealed as disruption in the integrity of network interactions. Network disruption may be missed by analyses that focus on certain components of the networks in isolation. Third, Alzheimer¹s disease affects a specific brain network -- called the default network -- that is linked to memory and is spontaneously active much of the time in healthy, young individuals. The observation that the network most active in healthy individuals is the first to show pathology in Alzheimer's disease suggests that activity and metabolic patterns throughout life may set the stage for eventual disease.

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