您的位置: 首页 > 农业专利 > 详情页

SYSTEMS AND METHODS FOR DETECTION AND PREDICTION OF BRAIN DISORDERS BASED ON NEURAL NETWORK INTERACTION
专利权人:
Shi-Jiang Li
发明人:
Shi-Jiang Li,Gang Chen,Barney D. Ward,Zhilin Wu,Piero Antuono
申请号:
US13634284
公开号:
US20130116540A1
申请日:
2011.03.15
申请国别(地区):
US
年份:
2013
代理人:
摘要:
Systems and methods obtain functional connectivity data in the whole brain to detect and predict brain disorders. This whole brain data is regionalized and then manipulated to derive functional connectivity data sets that can be used to show measured functional connectivity changes. This whole brain data may also be analyzed to determine changes in functional activity in both increased and decreased neural network connectivity. By identifying and then quantifying the functional connectivity differences between healthy and diseased subjects, a classification for individual subjects can be made.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充