Suppr超能文献

评估 EPIK 在使用 BOLD 检测和有效连接的手指敲击 fMRI 实验中的效用。

Evaluating the Utility of EPIK in a Finger Tapping fMRI Experiment using BOLD Detection and Effective Connectivity.

机构信息

Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany.

Institute of Neuroscience and Medicine 3, Cognitive Neuroscience, Forschungszentrum Jülich GmbH, Jülich, Germany.

出版信息

Sci Rep. 2019 Jul 29;9(1):10978. doi: 10.1038/s41598-019-47341-y.

Abstract

EPI with Keyhole (EPIK) is a hybrid imaging technique that overcomes many of the performance disadvantages associated with EPI. Previously, EPIK was shown to provide a higher temporal resolution and fewer image distortions than EPI whilst maintaining comparable performance for the detection of BOLD-based signals. This work carefully examines the putative enhanced sensitivity of EPIK in a typical fMRI setting by using a robust fMRI paradigm - visually guided finger tapping - to demonstrate the advantages of EPIK for fMRI at 3 T. The data acquired were directly compared to the community standard fMRI protocol using single-shot EPI to ascertain a clear comparison. Each sequence was optimised to offer its highest possible spatial resolution for a given set of imaging conditions, i.e., EPIK and EPI achieved an in-planar resolution of 2.08 × 2.08 mm with 32 slices and 3.13 × 3.13 mm with 36 slices, respectively. EPIK demonstrated a number of clear improvements, such as superior spatial resolution with favourable robustness against susceptibility artefacts. Both imaging sequences revealed robust activation within primary motor, premotor and visual regions, although significantly higher BOLD amplitudes were detected using EPIK within the primary and supplementary motor areas. Dynamic causal modelling, in combination with Bayesian model selection, identified identical winning models for EPIK and EPI data. Coupling parameters reflecting task-related modulations and the connectivity of fixed connections were comparably robust for both sequences. However, fixed connections from the left motor cortex to the right visual cortex were estimated as being significantly more robust for EPIK data.

摘要

EPI 与锁孔(EPIK)是一种混合成像技术,克服了 EPI 相关的许多性能劣势。以前的研究表明,EPIK 在提供更高的时间分辨率和更少的图像失真方面优于 EPI,同时保持对基于 BOLD 的信号检测的可比性能。这项工作通过使用稳健的 fMRI 范式——视觉引导手指敲击,在典型的 fMRI 环境中仔细检查了 EPIK 的潜在增强灵敏度,以证明 EPIK 在 3T 下进行 fMRI 的优势。通过直接将获得的数据与使用单次激发 EPI 的社区标准 fMRI 协议进行比较,以确定明确的比较。为了在给定的成像条件下获得最高可能的空间分辨率,对每个序列进行了优化,即 EPIK 和 EPI 的平面内分辨率分别为 2.08×2.08mm 和 3.13×3.13mm,各有 32 层和 36 层。EPIK 表现出许多明显的改进,例如具有更高的空间分辨率和对磁化率伪影的有利稳健性。两种成像序列都在初级运动、前运动和视觉区域中显示出了稳健的激活,尽管在初级和辅助运动区域中,EPIK 检测到的 BOLD 振幅明显更高。动态因果建模结合贝叶斯模型选择,确定了 EPIK 和 EPI 数据的相同获胜模型。反映任务相关调制和固定连接连接性的耦合参数对于两种序列都是相似的稳健。然而,从左侧运动皮层到右侧视觉皮层的固定连接对于 EPIK 数据估计更为稳健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bbd/6662889/fcb2cac5fe48/41598_2019_47341_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验