De Luca Cinzia, Comani Silvia, Di Donato Luigino, Caulo Massimo, Bertollo Maurizio, Romani Gian Luca
Department of Clinical Sciences and Bio-imaging, University of Chieti, Chieti, Italy.
Brain Topogr. 2007 Spring;19(3):155-60. doi: 10.1007/s10548-007-0022-5. Epub 2007 Jun 29.
Several fMRI studies have been performed to detect the neural correlates of stable bimanual coordination patterns in humans. Only few of those studies were accompanied by the on-line recording of the relative phase of fingers or hands, but none with high space and time resolutions. Conversely, the high-resolution recording of fingers' kinematics during fMRI would permit the quantification of the instantaneous fingers' positions, from which the instant at which transitions between different bimanual coordination patterns occur might be detected. This information could then be used to analyze fMRI data and detect the neural correlates of pattern transitions. We describe an a-magnetic optic-mechanical device (AMOMeD) able to monitor the fingers' positions during fMRI studies on bimanual coordination with 2 mm space resolution and 1 ms time resolution. From the instantaneous fingers' positions (recorded with an optical fiber system and a dedicated acquisition system), the oscillation amplitude, frequency, velocity and relative phase of fingers' are calculated. The signal from the fMRI trigger can be acquired simultaneously to synchronize the behavioral outcomes with the fMRI analysis. The results of our study show that this device does not affect fMRI signals, and that fMRI data can be processed using the simultaneous behavioral information to detect the brain areas activated during the transitions between different bimanual coordination patterns.
已经进行了多项功能磁共振成像(fMRI)研究,以检测人类稳定双手协调模式的神经关联。这些研究中只有少数伴随着手指或手部相对相位的在线记录,但没有一项具有高空间和时间分辨率。相反,在fMRI期间对手指运动学进行高分辨率记录将允许量化手指的瞬时位置,从中可以检测到不同双手协调模式之间发生转换的时刻。然后,这些信息可用于分析fMRI数据并检测模式转换的神经关联。我们描述了一种非磁性光学机械设备(AMOMeD),它能够在对双手协调进行fMRI研究期间,以2毫米的空间分辨率和1毫秒的时间分辨率监测手指位置。根据手指的瞬时位置(用光纤系统和专用采集系统记录),计算手指的振荡幅度、频率、速度和相对相位。可以同时采集来自fMRI触发的信号,以便将行为结果与fMRI分析同步。我们的研究结果表明,该设备不会影响fMRI信号,并且可以使用同步行为信息来处理fMRI数据,以检测在不同双手协调模式转换期间激活的脑区。