Statistical power: Implications for planning MEG studies.
Statistical power: Implications for planning MEG studies.
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统计功效：对计划MEG研究的影响。
DOI：
10.1016/j.neuroimage.2021.117894
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发表时间：
2021-06
期刊：
影响因子：
5.7
通讯作者：
George N
中科院分区：
文献类型：
--
作者：
Chaumon M;Puce A;George N
统计能力是稳健、可复制的科学的关键。在这里，我们系统地探索了试验数量和受试者如何影响脑磁图传感器水平数据的统计能力。更具体地说，我们使用人类连接组计划(Human Connectome Project，HCP)的脑磁图静息状态数据集来模拟“实验”。我们将数据分成两种情况，在“信号条件”中的已知解剖位置注入偶极源，而不是在“噪声条件”中，并使用幅度、平方幅度和全局场强(GFP)测量，在受试者之间用经典配对t检验检测传感器水平上的显著差异。这些模拟效应的组级可探测性因解剖起源而有很大不同。因此，我们详细地检查了哪些源的空间属性影响了可探测性，特别是查看了距离最近的传感器和源的方向，以及这些参数在不同受试者之间的可变性。与之前的单一受试者研究一致，我们发现最可检测到的效应来自最接近传感器的源位置，并相对于头部表面切向定向。此外，方向上的跨学科差异也影响了群体水平的可检测性，在这种差异较小的区域促进了检测，在这种差异较大的区域阻碍了检测。顺便说一句，我们观察到了个体大脑解剖空间中来源位置、方向及其跨学科变异性的相当大的协变性，使得很难独立地评估这些变量中的每一个变量的影响。因此，我们还进行了模拟，我们独立于个体解剖来控制空间属性。这些额外的模拟证实了距离和方向的强烈影响，并进一步表明，不同受试者的方向变化影响可探测性，而位置变化不影响。重要的是，我们的研究表明，关于任何实验的理想试验数量和受试者的严格、明确的建议不能现实地提供给神经生理学研究，应该根据研究中的大脑区域进行调整。
Statistical power is key for robust, replicable science. Here, we systematically explored how numbers of trials and subjects affect statistical power in MEG sensor-level data. More specifically, we simulated "experiments" using the MEG resting-state dataset of the Human Connectome Project (HCP). We divided the data in two conditions, injected a dipolar source at a known anatomical location in the "signal condition", but not in the "noise condition", and detected significant differences at sensor level with classical paired t-tests across subjects, using amplitude, squared amplitude, and global field power (GFP) measures. Group-level detectability of these simulated effects varied drastically with anatomical origin. We thus examined in detail which spatial properties of the sources affected detectability, looking specifically at the distance from closest sensor and orientation of the source, and at the variability of these parameters across subjects. In line with previous single-subject studies, we found that the most detectable effects originate from source locations that are closest to the sensors and oriented tangentially with respect to the head surface. In addition, cross-subject variability in orientation also affected group-level detectability, boosting detection in regions where this variability was small and hindering detection in regions where it was large. Incidentally, we observed a considerable covariation of source position, orientation, and their cross-subject variability in individual brain anatomical space, making it difficult to assess the impact of each of these variables independently of one another. We thus also performed simulations where we controlled spatial properties independently of individual anatomy. These additional simulations confirmed the strong impact of distance and orientation and further showed that orientation variability across subjects affects detectability, whereas position variability does not. Importantly, our study indicates that strict unequivocal recommendations as to the ideal number of trials and subjects for any experiment cannot be realistically provided for neurophysiological studies and should be adapted according to the brain regions under study.
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DOI：
10.1016/j.clinph.2018.03.042
发表时间：
2018-08
期刊：
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子：
--
作者：
Hari R;Baillet S;Barnes G;Burgess R;Forss N;Gross J;Hämäläinen M;Jensen O;Kakigi R;Mauguière F;Nakasato N;Puce A;Romani GL;Schnitzler A;Taulu S
通讯作者：
Taulu S
影响因子：
5.7
作者：
Fischl, Bruce
通讯作者：
Fischl, Bruce
影响因子：
44.1
作者：
HAMALAINEN, M;HARI, R;LOUNASMAA, OV
通讯作者：
LOUNASMAA, OV
影响因子：
4.8
作者：
Ahlfors, Seppo P.;Han, Jooman;Halgren, Eric
通讯作者：
Halgren, Eric
影响因子：
5.7
作者：
Hillebrand, A;Barnes, GR
通讯作者：
Barnes, GR