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健康大脑网络连续扫描计划:一项用于评估个体间差异及其在不同扫描条件和时段下可靠性的资源。

The Healthy Brain Network Serial Scanning Initiative: a resource for evaluating inter-individual differences and their reliabilities across scan conditions and sessions.

作者信息

O'Connor David, Potler Natan Vega, Kovacs Meagan, Xu Ting, Ai Lei, Pellman John, Vanderwal Tamara, Parra Lucas C, Cohen Samantha, Ghosh Satrajit, Escalera Jasmine, Grant-Villegas Natalie, Osman Yael, Bui Anastasia, Craddock R Cameron, Milham Michael P

机构信息

Center for the Developing Brain, Child Mind Institute, New York, NY.

Center for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, NY.

出版信息

Gigascience. 2017 Feb 1;6(2):1-14. doi: 10.1093/gigascience/giw011.

Abstract

BACKGROUND

Although typically measured during the resting state, a growing literature is illustrating the ability to map intrinsic connectivity with functional MRI during task and naturalistic viewing conditions. These paradigms are drawing excitement due to their greater tolerability in clinical and developing populations and because they enable a wider range of analyses (e.g., inter-subject correlations). To be clinically useful, the test-retest reliability of connectivity measured during these paradigms needs to be established. This resource provides data for evaluating test-retest reliability for full-brain connectivity patterns detected during each of four scan conditions that differ with respect to level of engagement (rest, abstract animations, movie clips, flanker task). Data are provided for 13 participants, each scanned in 12 sessions with 10 minutes for each scan of the four conditions. Diffusion kurtosis imaging data was also obtained at each session.

FINDINGS

Technical validation and demonstrative reliability analyses were carried out at the connection-level using the Intraclass Correlation Coefficient and at network-level representations of the data using the Image Intraclass Correlation Coefficient. Variation in intrinsic functional connectivity across sessions was generally found to be greater than that attributable to scan condition. Between-condition reliability was generally high, particularly for the frontoparietal and default networks. Between-session reliabilities obtained separately for the different scan conditions were comparable, though notably lower than between-condition reliabilities.

CONCLUSIONS

This resource provides a test-bed for quantifying the reliability of connectivity indices across subjects, conditions and time. The resource can be used to compare and optimize different frameworks for measuring connectivity and data collection parameters such as scan length. Additionally, investigators can explore the unique perspectives of the brain's functional architecture offered by each of the scan conditions.

摘要

背景

尽管通常在静息状态下进行测量,但越来越多的文献表明,在任务和自然观看条件下,利用功能磁共振成像绘制内在连接性的能力。这些范式因其在临床和发育人群中具有更高的耐受性,以及能够进行更广泛的分析(例如,受试者间相关性)而备受关注。为了具有临床实用性,需要确定在这些范式中测量的连接性的重测信度。本资源提供了数据,用于评估在四种扫描条件下检测到的全脑连接模式的重测信度,这四种扫描条件在参与程度(静息、抽象动画、电影片段、侧翼任务)方面有所不同。提供了13名参与者的数据,每人在12次扫描中接受扫描,每种条件扫描10分钟。每次扫描时还获取了扩散峰度成像数据。

研究结果

使用组内相关系数在连接水平上进行技术验证和示范信度分析,并使用图像组内相关系数在数据的网络水平表示上进行分析。一般发现,各次扫描间内在功能连接性的变化大于扫描条件所致的变化。条件间的信度通常较高,尤其是额顶叶网络和默认网络。不同扫描条件下分别获得的各次扫描间信度相当,但明显低于条件间信度。

结论

本资源为量化跨受试者、条件和时间的连接性指标的信度提供了一个试验平台。该资源可用于比较和优化测量连接性的不同框架以及数据收集参数,如扫描长度。此外,研究人员可以探索每种扫描条件所提供的大脑功能结构的独特视角。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e721/5466711/d39c51bcffce/giw011fig1.jpg

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