Measures of fMRI brain entropy have been used to investigate age and disease related neural changes. However, it is unclear if movement in the scanner is associated with brain entropy after geometric correction for movement. As age and disease can affect motor control, quantifying and correcting for the influence of movement will avoid false findings. This paper examines the influence of head motion on fMRI brain entropy. Resting-state and task-based fMRI data from 281 individuals born in Aberdeen between 1950 and 1956 were analyzed. The images were realigned, followed by nuisance regression of the head motion parameters. The images were either high-pass filtered (0.008 Hz) or band-pass (0.008–0.1 Hz) filtered in order to compare the two methods; fuzzy approximate entropy and fuzzy sample entropy were calculated for every voxel. Motion was quantified as the mean displacement and mean rotation in three dimensions. Greater mean motion was correlated with decreased entropy for all four methods of calculating entropy. Different movement characteristics produce different patterns of associations, which appear to be artefact. However, across all motion metrics, entropy calculation methods, and scan conditions, a number of regions consistently show a significant negative association: the right cerebellar crus, left precentral gyrus (primary motor cortex), the left postcentral gyrus (primary somatosensory cortex), and the opercular part of the left inferior frontal gyrus. The robustness of our findings at these locations suggests that decreased entropy in specific brain regions may be a marker for decreased motor control.

中文翻译：

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采集过程中的运动与fMRI脑熵有关

功能磁共振成像脑熵的措施已用于调查年龄和疾病相关的神经变化。但是，尚不清楚在对运动进行几何校正之后，扫描仪中的运动是否与脑熵有关。由于年龄和疾病会影响运动控制，因此量化和校正运动的影响将避免错误的发现。本文研究了头部运动对功能磁共振成像脑熵的影响。分析了1950年至1956年之间在阿伯丁出生的281位个体的静息状态和基于任务的功能磁共振成像数据。重新排列图像，然后对头部运动参数进行讨厌的回归。为了比较这两种方法，对图像进行了高通滤波（0.008 Hz）或带通滤波（0.008–0.1 Hz）。计算每个体素的模糊近似熵和模糊样本熵。运动被量化为三维的平均位移和平均旋转。对于所有四种计算熵的方法，较高的平均运动都与熵降低相关。不同的运动特征会产生不同的关联模式，这似乎是伪造的。但是，在所有运动指标，熵计算方法和扫描条件下，许多区域始终显示出显着的负相关性：右小脑小腿，左中央前回（主要运动皮层），左中央后回（主要体感皮层），和左下额回的腹膜部分。我们在这些位置的发现的稳健性表明，特定大脑区域的熵降低可能是运动控制降低的标志。