公开(公告)号：US11344199B2

公开(公告)日：2022-05-31

申请号：US13634284

申请日：2011-03-15

申请人： Shi-Jiang Li ,  Gang Chen ,  Barney D. Ward ,  Zhilin Wu ,  Piero Antuono

发明人： Shi-Jiang Li ,  Gang Chen ,  Barney D. Ward ,  Zhilin Wu ,  Piero Antuono

IPC分类号： A61B5/00 ,  A61B5/055 ,  G01R33/48 ,  G06T7/00 ,  G16H50/70

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.

公开(公告)号：US20130116540A1

公开(公告)日：2013-05-09

申请号：US13634284

申请日：2011-03-15

申请人： Shi-Jiang Li ,  Gang Chen ,  Barney D. Ward ,  Zhilin Wu ,  Piero Antuono

发明人： Shi-Jiang Li ,  Gang Chen ,  Barney D. Ward ,  Zhilin Wu ,  Piero Antuono

IPC分类号： A61B5/00 ,  A61B5/055

CPC分类号： A61B5/0042 ,  A61B5/055 ,  A61B5/4064 ,  A61B5/4088 ,  A61B5/7246 ,  A61B5/7264 ,  A61B5/7267 ,  G01R33/4806 ,  G06T7/0016 ,  G06T2207/10016 ,  G06T2207/10088 ,  G06T2207/30016 ,  G16H50/70

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.

摘要翻译： 系统和方法在全脑中获得功能连接数据，以检测和预测脑部疾病。 这个全脑数据是区域化的，然后被操纵以获得功能性连接数据集，可用于显示测量的功能连接性变化。 也可以分析这个全脑数据，以确定增加和减少的神经网络连通性中功能活动的变化。 通过识别并量化健康和患病科目之间的功能连接性差异，可以对个体受试者进行分类。

公开(公告)号：US06490472B1

公开(公告)日：2002-12-03

申请号：US09536245

申请日：2000-03-27

申请人： Shi-Jiang Li ,  Piero Antuono ,  Zhu Li ,  Bharat Biswal ,  James S. Hyde ,  John L. Ulmer ,  Zerrin F. Yetkin

发明人： Shi-Jiang Li ,  Piero Antuono ,  Zhu Li ,  Bharat Biswal ,  James S. Hyde ,  John L. Ulmer ,  Zerrin F. Yetkin

IPC分类号： A61B5055

CPC分类号： G06T7/0012 ,  A61B5/055 ,  A61B5/4088 ,  A61B6/501 ,  G01R33/4806 ,  G06T2207/30016 ,  Y10S128/92

摘要： Time course MRI data is acquired from the hippocampal region of the brain and processed to produce an index which is a measure of the functional connectivity between locations therein. The MRI data is acquired while the brain is substantially at rest and the spontaneous low frequency component of the time course data at each location in the hippocampus is extracted and compared in a cross-correlation process.

摘要翻译： 时间过程MRI数据是从大脑的海马区域获得的，并被处理以产生一个索引，该索引是其中位置之间功能连通性的度量。 在大脑基本静止时获取MRI数据，并且在互相关过程中提取海马每个位置处的时间过程数据的自发低频分量并进行比较。