Movement-related desynchronization of the cerebral cortex studied with spatially filtered magnetoencephalography

被引:169
作者
Taniguchi, M [1 ]
Kato, A
Fujita, N
Hirata, M
Tanaka, H
Kihara, T
Ninomiya, H
Hirabuki, N
Nakamura, H
Robinson, SE
Cheyne, D
Yoshimine, T
机构
[1] Osaka Univ, Grad Sch Med, Dept Neurosurg, Osaka 5650871, Japan
[2] Osaka Univ, Grad Sch Med, Dept Radiol, Osaka 5650871, Japan
[3] CTF Syst Inc, Port Coquitlam, BC, Canada
[4] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
[5] Aloka Co Ltd, Tokyo 1988577, Japan
关键词
D O I
10.1006/nimg.2000.0611
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Event-related desynchronization (ERD) within the a and beta bands on unilateral index finger extension and hand grasping was investigated on six normal volunteers with magnetoencephalography (MEG). A novel spatial filtering technique for imaging cortical source power, synthetic aperture magnetometry (SAM), was employed for the tomographic demonstration of ERD. SAM source image results were transformed into statistical parametric images. On the same hand grasping task, a functional MRI (fMRI) study was conducted on two subjects and compared with the ERD result. When the MEG data were analyzed with the fast Fourier transformation, power attenuation within the alpha and beta bands was evident on the contralateral sensorimotor area just prior to movement onset. The tomographic distribution of ERD was clearly obtained with SAM statistical imaging analysis. The equivalent current dipole (ECD) for the signal-averaged motor field was localized to the hemisphere contralateral to the hand movement, roughly at the center of the region displaying beta-band ERD, The signal increase on fMRI roughly colocalized with the ERD on the contralateral sensorimotor area. Ln conclusion, with the novel spatial filtering technique for the brain magnetic field, SAM, cortical regions contributing to ERD on finger movement were successfully demonstrated in a tomographic manner. The relative colocalization of the contralateral SAM ERD with ECD as well as the fMRI activation suggests that SAM is a practically useful technique to extract event-related signals from brain noise. (C) 2000 Academic Press.
引用
收藏
页码:298 / 306
页数:9
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