Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour Nijmegen, Netherlands.
Front Hum Neurosci. 2013 Apr 23;7:156. doi: 10.3389/fnhum.2013.00156. eCollection 2013.
With the advancements in MRI hardware, pulse sequences and reconstruction techniques, many low TR sequences are becoming more and more popular within the functional MRI (fMRI) community. In this study, we have investigated the spectral characteristics of resting state networks (RSNs) with a newly introduced ultra fast fMRI technique, called generalized inverse imaging (GIN). The high temporal resolution of GIN (TR = 50 ms) enables to sample cardiac signals without aliasing into a separate frequency band from the BOLD fluctuations. Respiration related signal changes are, on the other hand, removed from the data without the need for external physiological recordings. We have observed that the variance over the subjects is higher than the variance over RSNs.
随着 MRI 硬件、脉冲序列和重建技术的进步，许多低 TR 序列在功能磁共振成像（fMRI）领域越来越受欢迎。在这项研究中，我们使用一种新的超快速 fMRI 技术，即广义逆成像（GIN），研究了静息态网络（RSN）的频谱特征。GIN 的高时间分辨率（TR=50ms）能够对心脏信号进行采样，而不会将其混叠到与 BOLD 波动分开的单独频带中。另一方面，呼吸相关的信号变化无需外部生理记录即可从数据中去除。我们观察到，受试者之间的方差高于 RSN 之间的方差。
