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功能脑枢纽及其测试-重测可靠性:多频段静息态功能磁共振成像研究。

Functional brain hubs and their test-retest reliability: a multiband resting-state functional MRI study.

机构信息

Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, China; Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments, Hangzhou, China.

出版信息

Neuroimage. 2013 Dec;83:969-82. doi: 10.1016/j.neuroimage.2013.07.058. Epub 2013 Jul 27.

Abstract

Resting-state functional MRI (R-fMRI) has emerged as a promising neuroimaging technique used to identify global hubs of the human brain functional connectome. However, most R-fMRI studies on functional hubs mainly utilize traditional R-fMRI data with relatively low sampling rates (e.g., repetition time [TR]=2 s). R-fMRI data scanned with higher sampling rates are important for the characterization of reliable functional connectomes because they can provide temporally complementary information about functional integration among brain regions and simultaneously reduce the effects of high frequency physiological noise. Here, we employed a publicly available multiband R-fMRI dataset with a sub-second sampling rate (TR=645 ms) to identify global hubs in the human voxel-wise functional networks, and further examined their test-retest (TRT) reliability over scanning time. We showed that the functional hubs of human brain networks were mainly located at the default-mode regions (e.g., medial prefrontal and parietal cortex as well as the lateral parietal and temporal cortex) and the sensorimotor and visual cortex. These hub regions were highly anatomically distance-dependent, where short-range and long-range hubs were primarily located at the primary cortex and the multimodal association cortex, respectively. We found that most functional hubs exhibited fair to good TRT reliability using intraclass correlation coefficients. Interestingly, our analysis suggested that a 6-minute scan duration was able to reliably detect these functional hubs. Further comparison analysis revealed that these results were approximately consistent with those obtained using traditional R-fMRI scans of the same subjects with TR=2500 ms, but several regions (e.g., lateral frontal cortex, paracentral lobule and anterior temporal lobe) exhibited different TRT reliability. Finally, we showed that several regions (including the medial/lateral prefrontal cortex and lateral temporal cortex) were identified as brain hubs in a high frequency band (0.2-0.3 Hz), which is beyond the frequency scope of traditional R-fMRI scans. Our results demonstrated the validity of multiband R-fMRI data to reliably detect functional hubs in the voxel-wise whole-brain networks, which motivated the acquisition of high temporal resolution R-fMRI data for the studies of human brain functional connectomes in healthy and diseased conditions.

摘要

静息态功能磁共振成像(R-fMRI)已成为一种很有前途的神经影像学技术,用于识别人类大脑功能连接组的全局枢纽。然而,大多数关于功能枢纽的 R-fMRI 研究主要利用传统的 R-fMRI 数据,这些数据的采样率相对较低(例如重复时间[TR]=2 秒)。具有更高采样率的 R-fMRI 数据对于可靠的功能连接组的特征描述非常重要,因为它们可以提供关于脑区之间功能整合的时间互补信息,同时减少高频生理噪声的影响。在这里,我们使用了具有亚秒级采样率(TR=645 毫秒)的公开多带 R-fMRI 数据集来识别人类体素功能网络中的全局枢纽,并进一步检查了它们在扫描时间内的测试-再测试(TRT)可靠性。我们表明,人脑网络的功能枢纽主要位于默认模式区域(例如内侧前额叶和顶叶皮层以及外侧顶叶和颞叶皮层)和感觉运动和视觉皮层。这些枢纽区域在解剖学上高度依赖距离,其中短程和远程枢纽主要位于初级皮层和多模态联合皮层。我们发现,使用组内相关系数,大多数功能枢纽表现出良好到中等的 TRT 可靠性。有趣的是,我们的分析表明,6 分钟的扫描时间能够可靠地检测到这些功能枢纽。进一步的比较分析表明,这些结果与使用相同受试者的传统 R-fMRI 扫描(TR=2500 毫秒)获得的结果大致一致,但几个区域(例如,外侧额叶皮层、旁中央小叶和前颞叶)的 TRT 可靠性不同。最后,我们表明,一些区域(包括内侧/外侧前额叶皮层和外侧颞叶皮层)在高频带(0.2-0.3 Hz)中被确定为脑枢纽,这超出了传统 R-fMRI 扫描的频率范围。我们的结果证明了多带 R-fMRI 数据在可靠检测体素水平全脑网络中的功能枢纽方面的有效性,这激发了人们获取高时间分辨率 R-fMRI 数据,以研究健康和患病状态下的人类大脑功能连接组。

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