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rfDemons: Resting fMRI-Based Cortical Surface Registration Using the BrainSync Transform

机译:rfDemons:使用BrainSync变换休息基于fMRI的皮质表面配准

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Cross subject functional studies of cerebral cortex require cortical registration that aligns functional brain regions. While cortical folding patterns are approximate indicators of the underlying cytoar-chitecture, coregistration based on these features alone does not accurately align functional regions in cerebral cortex. This paper presents a method for cortical surface registration (rfDemons) based on resting fMRI (rfMRI) data that uses curvature-based anatomical registration as an initialization. In contrast to existing techniques that use connectivity-based features derived from rfMRI, the proposed method uses 'synchronized' resting rfMRI time series directly. The synchronization of rfMRI data is performed using the BrainSync transform which applies an orthogonal transform to the rfMRI time series to temporally align them across subjects. The rfDemons method was applied to rfMRI from the Human Connectome Project and evaluated using task fMRI data to explore the impact of cortical registration performed using resting fMRI data on functional alignment of the cerebral cortex.
机译:大脑皮质的跨学科功能研究需要使功能性大脑区域对齐的皮质配准。尽管皮质折叠模式是潜在细胞结构的近似指标,但仅基于这些特征的共心配位不能准确地对齐大脑皮层的功能区域。本文提出了一种基于静止fMRI(rfMRI)数据的皮质表面配准(rfDemons)的方法,该数据使用基于曲率的解剖配准作为初始化。与使用从rfMRI派生的基于连接性的功能的现有技术相比,所提出的方法直接使用“同步”静止rfMRI时间序列。使用BrainSync变换执行rfMRI数据的同步,该变换将正交变换应用于rfMRI时间序列,以在对象之间进行时间对齐。 rfDemons方法已应用于人类Connectome项目的rfMRI中,并使用任务fMRI数据进行了评估,以探索使用静止fMRI数据进行的皮层定位对大脑皮层功能对准的影响。

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