Test-retest precision of functional magnetic resonance imaging processed with independent component analysis

被引：0

作者：

G. Nybakken

M. Quigley

C. Moritz

D. Cordes

V. Haughton

M. Meyerand

机构：

[1] Department of Radiology,

[2] The University of Wisconsin Hospitals and Clinics,undefined

[3] 600 Highland Avenue,undefined

[4] Madison,undefined

[5] WI 53792,undefined

[6] Department of Medical Physics,undefined

[7] University of Wisconsin,undefined

[8] Madison,undefined

[9] Wisconsin,undefined

[10] Department of Radiology,undefined

[11] University of Washington,undefined

[12] Seattle,undefined

[13] Washington,undefined

来源：

Neuroradiology | 2002年 / 44卷

关键词：

fMRI Independent component analysis;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This study was designed to compare the test-retest precision of functional magnetic resonance imaging (fMRI) data processed with independent component analysis (ICA) and the same data analyzed with a conventional model-dependent method (Student's-t mapping). Volunteers underwent two or three iterations of visual and auditory stimuli, while data were collected for fMRI scans. The scan data were separately processed with ICA and with Student's-t mapping (STM). As a measure of test-retest precision, concurrence ratios were calculated for each subject and each task as the number of voxels that were activated by two iterations of a task divided by the average number of voxels activated in each repetition. In 28 test-retest comparisons, the average concurrence ratio was 0.69±0.10 for ICA and 0.65±0.13 for the conventional method, a statistically insignificant difference. In fMR image data of block stimulus paradigms, ICA had similar test-retest precision to a conventional model-dependent method.

引用

页码：403 / 406

页数：3