Region of interest based analysis of functional imaging data

被引：132

作者：

Nieto-Castanon, A

Ghosh, SS

Tourville, JA

Guenther, FH

机构：

[1] Boston Univ, Dept Cognit & Neural Syst, Boston, MA 02215 USA

[2] Massachusetts Gen Hosp, Ctr Morphometr Anal, Charlestown, MA 02129 USA

[3] MIT, Res Lab Elect, Speech Commun Grp, Cambridge, MA 02139 USA

来源：

NEUROIMAGE | 2003年 / 19卷 / 04期

关键词：

fMRI; MRI; methods; region of interest; anatomical variability; multivariate analysis;

D O I：

10.1016/S1053-8119(03)00188-5

中图分类号：

Q189 [神经科学];

学科分类号：

071006 ;

摘要：

fMRI analysis techniques are presented that test functional hypotheses at the region of interest (ROI) level. An SPM-compatible Matlab toolbox has been developed that allows the creation of subject-specific ROI masks based on anatomical markers and the testing of functional hypotheses on the regional response using multivariate time-series analysis techniques. The combined application of subject-specific ROI definition and region-level functional analysis is shown to appropriately compensate for intersubject anatomical variability, offering finer localization and increased sensitivity to task-related effects than standard techniques based on whole-brain normalization and voxel or cluster-level functional analysis, while providing a more direct link between discrete brain region hypotheses and the statistical analyses used to test them. (C) 2003 Elsevier Science (USA). All rights reserved.

引用

页码：1303 / 1316

页数：14

共 20 条

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