A new approach to measure activation-related changes in the brain by magnetic resonance is described offering high temporal resolution of 10-100 measurements per second. This is achieved by simultaneous multi-channel reception where the spatial resolution during continuous observation is determined by the sensitive volume of each coil alone without any additional spatial encoding gradients. Experimental results demonstrate the very high sensitivity of this approach, which allows to directly measure and monitor the stimulus-dependent hemodynamic response as well as ECG- and breathing-related signal fluctuations. One-dimensional spatial encoding either parallel or orthogonal to the cortex demonstrates that vascular signals can be identified by the pronounced signal variation at the ECG-frequency. Noise analysis at different frequencies reveals regional signal fluctuations in the frequency range between 2 and 10 Hz. Furthermore, initial results show that frequency changes in the order of <0.03 Hz corresponding to <1 nano Tesla can be detected. In addition to its potential use in neuroscientific studies, this new method opens a wide range of applications for fast physiological monitoring and can be easily combined with conventional high-resolution imaging.

译文

描述了一种通过磁共振测量大脑中与激活相关的变化的新方法,该方法提供了每秒10-100次测量的高时间分辨率。这是通过同时进行多通道接收来实现的,其中连续观察期间的空间分辨率由每个线圈的敏感体积单独确定,而没有任何额外的空间编码梯度。实验结果表明,这种方法具有很高的灵敏度,可以直接测量和监测刺激依赖性血液动力学反应以及与ECG和呼吸相关的信号波动。与皮层平行或正交的一维空间编码表明,可以通过ECG频率下明显的信号变化来识别血管信号。不同频率下的噪声分析揭示了2至10Hz频率范围内的区域信号波动。此外,初步结果表明,可以检测到对应于 <1纳米特斯拉的 <0.03Hz量级的频率变化。除了在神经科学研究中的潜在用途外,这种新方法还为快速生理监测开辟了广泛的应用,并且可以轻松地与常规高分辨率成像结合使用。

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