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

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• 作者：Salla-Maarit Kokkonen ; Juha Nikkinen ; Jukka Remes ; Jussi Kantola ; Tuomo Starck ; Marianne Haapea ; Juho Tuominen ; Osmo Tervonen ; Vesa Kiviniemi
• 关键词：Preoperative ; Brain tumor ; Resting state ; Functional MRI ; Independent component analysis
• 刊名：Magnetic Resonance Imaging
• 出版年：2009
• 出版时间：July 2009
• 年：2009
• 卷：27
• 期：6
• 页码：733-740
• 全文大小：2375 K

文摘

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_rests 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.