Knowledge Commons of Institute of Automation,CAS
Regional homogeneity and anatomical parcellation for fMRI image classification: application to schizophrenia and normal controls | |
Feng Shi; Yong Liu; Tianzi Jiang; Wanlin Zhu; Jiefeng Jiang; Haihong Liu; Zhening Liu; Jiang Tianzi | |
2007 | |
会议名称 | MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention |
会议录名称 | Med Image Comput Comput Assist Interv. 2007 |
会议日期 | 2007 |
会议地点 | USA |
摘要 | This paper presents a discriminative model of multivariate pattern classification, based on functional magnetic resonance imaging (fMRI) and anatomical template. As a measure of brain function, Regional homogeneity (ReHo) is calculated voxel by voxel, and then a widely used anatomical template is applied on ReHo map to parcelate it into 116 brain regions. The mean and standard deviation of ReHo values in each region are extracted as features. Pseudo-Fisher Linear Discriminant Analysis (PFLDA) is performed for training samples to generate discriminative model. Classification experiments have been carried out in 48 schizophrenia patients and 35 normal controls. Under a full leave-one-out (LOO) cross-validation, correct prediction rate of 80% is achieved. Anatomical parcellation process is proved useful to improve classification rate by a control experiment. The discriminative model shows its ability to reveal abnormal brain functional activities and identify people with schizophrenia. |
关键词 | Pattern Recognitio |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/13197 |
专题 | 09年以前成果 |
通讯作者 | Jiang Tianzi |
推荐引用方式 GB/T 7714 | Feng Shi,Yong Liu,Tianzi Jiang,et al. Regional homogeneity and anatomical parcellation for fMRI image classification: application to schizophrenia and normal controls[C],2007. |
条目包含的文件 | 条目无相关文件。 |
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