A modified temporal self-correlation method for analysis of fMRI time series
文献类型：期刊论文
| 作者 | Lu, YL; Zang, YF; Jiang, TZ
|
| 刊名 | NEUROINFORMATICS
 |
| 出版日期 | 2003-09-01 |
| 卷号 | 1期号:3页码:259-269 |
| 关键词 | fMRI time series temporal self-correlation hemodynamic response function Pearson correlation |
| 英文摘要 | Temporal self-correlation has recently been proposed as a measure for fMRI-activation detection. In this paper, a modified temporal self-correlation method is introduced. The modified temporal self-correlation is based on the expectation value and standard deviation of the correlation coefficients between all pairs of epochs, while the original temporal self-correlation method is only based on the expectation value. Performance of the proposed method is evaluated on both simulated and in vivo fMRI data. Compared with the original temporal self-correlation method, the proposed method shows a significant improvement. In addition, a technique for quantitative comparison of different fMRI data analysis methods is proposed. |
| WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
| 类目[WOS] | Computer Science, Interdisciplinary Applications ; Neurosciences |
| 研究领域[WOS] | Computer Science ; Neurosciences & Neurology |
| 关键词[WOS] | ACTIVATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000186095000004 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9878]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China 2.Univ Houston, Dept Comp Sci, Houston, TX 77204 USA |
| 推荐引用方式 GB/T 7714 | Lu, YL,Zang, YF,Jiang, TZ. A modified temporal self-correlation method for analysis of fMRI time series[J]. NEUROINFORMATICS,2003,1(3):259-269. |
| APA | Lu, YL,Zang, YF,&Jiang, TZ.(2003).A modified temporal self-correlation method for analysis of fMRI time series.NEUROINFORMATICS,1(3),259-269. |
| MLA | Lu, YL,et al."A modified temporal self-correlation method for analysis of fMRI time series".NEUROINFORMATICS 1.3(2003):259-269. |
入库方式： OAI收割
来源：自动化研究所
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