Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years.
Reproducibility and Temporal Structure in Weekly Resting-State fMRI over a Period of 3.5 Years.
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每周休息状态fMRI的可重复性和时间结构在3。5年内。
DOI：
10.1371/journal.pone.0140134
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Pekar JJ
中科院分区：
文献类型：
--
作者：
Choe AS;Jones CK;Joel SE;Muschelli J;Belegu V;Caffo BS;Lindquist MA;van Zijl PC;Pekar JJ
静息状态功能核磁共振成像（rs-fMRI）允许研究大脑的功能网络，而不需要参与者执行任务。这种静息状态网络（rsn）的强大变化已经在神经疾病中被观察到，rs-fMRI结果测量是监测临床试验的候选生物标志物，包括慢性疾病患者康复的延长治疗干预试验。在这项研究中，我们的目标是提供一个独特的纵向数据集，报告一个健康成人受试者在3.5年的时间里每周扫描一次，并确定适合临床试验的rs-fMRI结果测量。因此，我们评估了可重复性，并描述了使用独立成分分析（ICA）得出的rs-fMRI结果测量的时间结构。将数据与在同一扫描仪上获得的21人数据集进行比较，以确认单受试者RSN测量值在多参与者数据集评估的预期范围内。结果测量指标——网络空间图、时间信号波动幅度和网络间连通性（BNC）——的会话间可重复性很高，其中执行rsn的可重复性最高。对每周结果测量的分析也表明，许多rs-fMRI结果测量具有显著的线性趋势、年度周期性和持久性。这种时间结构在空间地图相似性中最为突出，在BNC中最不突出。高可重复性支持rs-fMRI结果测量作为生物标志物的候选资格，但当将此类结果测量作为慢性疾病康复式治疗干预的生物标志物时，需要考虑到显著时间结构的存在。
Resting-state functional MRI (rs-fMRI) permits study of the brain’s functional networks without requiring participants to perform tasks. Robust changes in such resting state networks (RSNs) have been observed in neurologic disorders, and rs-fMRI outcome measures are candidate biomarkers for monitoring clinical trials, including trials of extended therapeutic interventions for rehabilitation of patients with chronic conditions. In this study, we aim to present a unique longitudinal dataset reporting on a healthy adult subject scanned weekly over 3.5 years and identify rs-fMRI outcome measures appropriate for clinical trials. Accordingly, we assessed the reproducibility, and characterized the temporal structure of, rs-fMRI outcome measures derived using independent component analysis (ICA). Data was compared to a 21-person dataset acquired on the same scanner in order to confirm that the values of the single-subject RSN measures were within the expected range as assessed from the multi-participant dataset. Fourteen RSNs were identified, and the inter-session reproducibility of outcome measures—network spatial map, temporal signal fluctuation magnitude, and between-network connectivity (BNC)–was high, with executive RSNs showing the highest reproducibility. Analysis of the weekly outcome measures also showed that many rs-fMRI outcome measures had a significant linear trend, annual periodicity, and persistence. Such temporal structure was most prominent in spatial map similarity, and least prominent in BNC. High reproducibility supports the candidacy of rs-fMRI outcome measures as biomarkers, but the presence of significant temporal structure needs to be taken into account when such outcome measures are considered as biomarkers for rehabilitation-style therapeutic interventions in chronic conditions.