Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection.
Minimal specifications for non-human primate MRI: Challenges in standardizing and harmonizing data collection.
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DOI：
10.1016/j.neuroimage.2021.118082
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发表时间：
2021-08-01
期刊：
影响因子：
5.7
通讯作者：
Vanduffel W
中科院分区：
文献类型：
--
作者：
Autio JA;Zhu Q;Li X;Glasser MF;Schwiedrzik CM;Fair DA;Zimmermann J;Yacoub E;Menon RS;Van Essen DC;Hayashi T;Russ B;Vanduffel W
最近MRI方法学的进步使非人类灵长类动物（NHP）的神经影像学研究大幅增长，而通过PRIME-DE计划的开放数据共享增加了NHP MRI数据的可用性和对强大的多受试者多中心分析的需求。简化的获取和分析协议将加快和改进这些工作。然而，关于NHP成像的数据采集协议和分析管道的最低标准的共识仍有待建立，特别是对于多中心研究。在这里，我们画NHP和人类神经成像之间的相似之处，并提供最低限度的指导方针，协调和标准化数据采集。我们提倡对广泛使用的开放获取工具包进行强大的翻译，这些工具包已被广泛用于分析人类数据。我们还鼓励使用经过验证的自动化预处理工具来分析NHP数据集。这些指南旨在完善小规模和大规模NHP神经影像学数据的方法和分析策略。这将提高结果的可重复性，并加速NHP和人类神经成像策略之间的融合，最终将使基础和转化脑科学受益。
Recent methodological advances in MRI have enabled substantial growth in neuroimaging studies of non-human primates (NHPs), while open data-sharing through the PRIME-DE initiative has increased the availability of NHP MRI data and the need for robust multi-subject multi-center analyses. Streamlined acquisition and analysis protocols would accelerate and improve these efforts. However, consensus on minimal standards for data acquisition protocols and analysis pipelines for NHP imaging remains to be established, particularly for multi-center studies. Here, we draw parallels between NHP and human neuroimaging and provide minimal guidelines for harmonizing and standardizing data acquisition. We advocate robust translation of widely used open-access toolkits that are well established for analyzing human data. We also encourage the use of validated, automated pre-processing tools for analyzing NHP data sets. These guidelines aim to refine methodological and analytical strategies for small and large-scale NHP neuroimaging data. This will improve reproducibility of results, and accelerate the convergence between NHP and human neuroimaging strategies which will ultimately benefit fundamental and translational brain science.
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DOI：
10.1098/rstb.2005.1634
发表时间：
2005-05-29
影响因子：
6.3
作者：
Beckmann, CF;DeLuca, M;Smith, SM
通讯作者：
Smith, SM
影响因子：
4.7
作者：
Casey BJ;Cannonier T;Conley MI;Cohen AO;Barch DM;Heitzeg MM;Soules ME;Teslovich T;Dellarco DV;Garavan H;Orr CA;Wager TD;Banich MT;Speer NK;Sutherland MT;Riedel MC;Dick AS;Bjork JM;Thomas KM;Chaarani B;Mejia MH;Hagler DJ Jr;Daniela Cornejo M;Sicat CS;Harms MP;Dosenbach NUF;Rosenberg M;Earl E;Bartsch H;Watts R;Polimeni JR;Kuperman JM;Fair DA;Dale AM;ABCD Imaging Acquisition Workgroup
通讯作者：
ABCD Imaging Acquisition Workgroup
影响因子：
5.7
作者：
Andersson JLR;Graham MS;Drobnjak I;Zhang H;Campbell J
通讯作者：
Campbell J
影响因子：
5.3
作者：
Denys, K;Vanduffel, W;Orban, GA
通讯作者：
Orban, GA
影响因子：
3.3
作者：
Cauley, Stephen F.;Polimeni, Jonathan R.;Bhat, Himanshu;Wald, Lawrence L.;Setsompop, Kawin
通讯作者：
Setsompop, Kawin