Preoperative localization of the sensorimotor area using independent component analysis of resting-state fMRI

被引：109

作者：

Kokkonen, Salla-Maarit ^{[1
]}

Nikkinen, Juha ^{[1
]}

Remes, Jukka ^{[1
]}

Kantola, Jussi ^{[1
]}

Starck, Tuomo ^{[1
]}

Haapea, Marianne ^{[1
]}

Tuominen, Juho ^{[2
]}

Tervonen, Osmo ^{[1
]}

Kiviniemi, Vesa ^{[1
]}

机构：

[1] Oulu Univ Hosp, Dept Radiol, Oulu, Finland

[2] Oulu Univ Hosp, Dept Neurosurg, Oulu, Finland

来源：

MAGNETIC RESONANCE IMAGING | 2009年 / 27卷 / 06期

关键词：

Preoperative; Brain tumor; Resting state; Functional MRI; Independent component analysis; PRIMARY MOTOR CORTEX; FUNCTIONAL CONNECTIVITY; HUMAN BRAIN; CEREBRAL-TUMORS; TIME-SERIES; NETWORKS; MRI; FLUCTUATIONS; IMAGES; ROBUST;

D O I：

10.1016/j.mri.2008.11.002

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Analysis of resting-state functional magnetic resonance imaging (fMRI) data is based on detecting low-frequency signal fluctuations in functionally connected brain areas. These synchronous fluctuations in resting-state networks have been observed in several studies with healthy subjects. In this study, we explored if independent component analysis (ICA) can be used to localize the sensorimotor area from resting-state fMRI data in patients with brain tumors. Finger-tapping activation task and resting-state blood-oxygenation-level-dependent fMRI data were acquired from 8 patients with brain tumors and 10 healthy volunteers. Sensorimotor task independent components (IC(task)) were used to verify resting-state independent components (IC(rest)) individually. In addition, sensorimotor IC(rest)s were compared between the groups and no significant differences were detected in volume, spatial correlation or temporal correlation. These results show that it is possible to localize a sensorimotor area from resting-state data using ICA in patients with brain tumors. This offers a complementary method for assessing the sensorimotor area in subjects with brain tumors who have difficulties in performing motor paradigms. (C) 2009 Elsevier Inc. All rights reserved.

引用

页码：733 / 740

页数：8

共 35 条

[1] TIME COURSE EPI OF HUMAN BRAIN-FUNCTION DURING TASK ACTIVATION [J].