What can modern statistics offer imaging neuroscience?

被引：10

作者：

Lange, N

机构：

[1] McLean Hosp, Lab Stat Neuroimaging, Belmont, MA 02478 USA

[2] Harvard Univ, Sch Med, Dept Psychiat, Boston, MA 02115 USA

[3] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA

来源：

STATISTICAL METHODS IN MEDICAL RESEARCH | 2003年 / 12卷 / 05期

关键词：

D O I：

10.1191/0962280203sm342ra

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

This paper presents a mixed-effects model, region-of-interest analysis of a longitudinal functional magnetic resonance imaging (fMRI) study of drug effects on human memory function. A key region of interest is the human hippocampus, affected by brain disorders such as Alzheimer's disease and schizophrenia. A brief section on human hippocampal cell microscopy complements the discussion of the macroscopic fMRI study. Statistical issues confronted in these two applications are then placed in a broader context for further discussion of the future roles of biostatisticians and our methods in the fertile intersection of applied mathematical abstraction and imaging neuroscience. Neuroscientific and fMRI background is provided for readers new to either area.

引用

页码：447 / 469

页数：23

共 71 条

[21]

2-I

[22] Estimating test-retest reliability in functional MR imaging .1. Statistical methodology [J].