WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions.
WHOCARES: WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions.
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DOI：
10.1088/1741-2552/ac8bff
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发表时间：
2022-09-06
影响因子：
4
通讯作者：
Ferrazzi, Giulio
中科院分区：
文献类型：
--
作者：
Colenbier, Nigel;Marino, Marco;Arcara, Giorgio;Frederick, Blaise;Pellegrino, Giovanni;Marinazzo, Daniele;Ferrazzi, Giulio
时空分辨人脑功能磁共振成像（fMRI）时间序列中的心脏信号，既不使用外部生理测量，也不使用特别建模假设。心脏搏动是fMRI时间序列的一种生理混淆，它在血管附近引入了虚假的信号波动。单独的功能性磁共振成像不足以快速解决心脏搏动。根据瞬时心率和采集采样频率之间的比率（1/TR，TR是重复时间），心脏信号可能混叠到神经激活的频带中，使得通过频谱滤波技术将其去除通常是不可能的。在这项研究中，我们表明，它是可行的时间和空间上解决整个大脑的心脏信号，即使心脏混叠发生相结合的功能磁共振成像超采样同步多层（SMS）成像。该技术，我们命名为全脑心脏信号回归从高加速同步多切片功能磁共振成像采集（WHOCARES），开发了695名健康受试者从人类连接组项目和其性能验证对RETROICOR，快乐和脉搏血氧计信号回归。WHOCARES能够检索逐体素心脏信号回归。这是在不使用外部生理记录的情况下实现的，也不通过特别的建模假设。平均而言，WHOCARES的性能上级优于RETROICOR、HAPPY和脉搏血氧仪回归。WHOCARES为fMRI时间序列中心脏活动的可靠映射奠定了基础。WHOCARES可用于回顾性去除心脏噪声在公开可用的fMRI数据集，生理记录不可用。WHOCARES可在https://github.com/gferrazzi/WHOCARES免费获得。
To spatio-temporally resolve cardiac signals in functional magnetic resonance imaging (fMRI) time-series of the human brain using neither external physiological measurements nor ad hoc modelling assumptions. Cardiac pulsation is a physiological confound of fMRI time-series that introduces spurious signal fluctuations in proximity to blood vessels. fMRI alone is not sufficiently fast to resolve cardiac pulsation. Depending on the ratio between the instantaneous heart-rate and the acquisition sampling frequency (1/TR, with TR being the repetition time), the cardiac signal may alias into the frequency band of neural activation so that its removal through spectral filtering techniques is generally not possible. In this study, we show that it is feasible to temporally and spatially resolve cardiac signals throughout the brain even when cardiac aliasing occurs by combining fMRI hyper-sampling with simultaneous multislice (SMS) imaging. The technique, which we name WHOle-brain CArdiac signal REgression from highly accelerated simultaneous multi-Slice fMRI acquisitions (WHOCARES), was developed on 695 healthy subjects selected from the Human Connectome Project and its performance validated against the RETROICOR, HAPPY and the pulse oximeter signal regression. WHOCARES is capable of retrieving voxel-wise cardiac signal regressors. This is achieved without employing external physiological recordings nor through ad hoc modelling assumptions. The performance of WHOCARES was, on average, superior to RETROICOR, HAPPY and the pulse oximeter regression. WHOCARES holds basis for the reliable mapping of cardiac activity in fMRI time-series. WHOCARES can be employed for the retrospective removal of cardiac noise in publicly available fMRI datasets where physiological recordings are not available. WHOCARES is freely available at https://github.com/gferrazzi/WHOCARES.
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