Soares José M, Magalhães Ricardo, Moreira Pedro S, Sousa Alexandre, Ganz Edward, Sampaio Adriana, Alves Victor, Marques Paulo, Sousa Nuno
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of MinhoBraga, Portugal; ICVS/3B's - PT Government Associate LaboratoryBraga, Portugal.
Life and Health Sciences Research Institute (ICVS), School of Medicine, University of MinhoBraga, Portugal; ICVS/3B's - PT Government Associate LaboratoryBraga, Portugal; Department of Informatics, University of MinhoBraga, Portugal.
Front Neurosci. 2016 Nov 10;10:515. doi: 10.3389/fnins.2016.00515. eCollection 2016.
Functional Magnetic Resonance Imaging (fMRI) studies have become increasingly popular both with clinicians and researchers as they are capable of providing unique insights into brain functions. However, multiple technical considerations (ranging from specifics of paradigm design to imaging artifacts, complex protocol definition, and multitude of processing and methods of analysis, as well as intrinsic methodological limitations) must be considered and addressed in order to optimize fMRI analysis and to arrive at the most accurate and grounded interpretation of the data. In practice, the researcher/clinician must choose, from many available options, the most suitable software tool for each stage of the fMRI analysis pipeline. Herein we provide a straightforward guide designed to address, for each of the major stages, the techniques, and tools involved in the process. We have developed this guide both to help those new to the technique to overcome the most critical difficulties in its use, as well as to serve as a resource for the neuroimaging community.
功能磁共振成像(fMRI)研究在临床医生和研究人员中越来越受欢迎,因为它们能够提供对脑功能的独特见解。然而,为了优化fMRI分析并对数据得出最准确、有依据的解释,必须考虑并解决多个技术因素(从范式设计的细节到成像伪影、复杂的协议定义、众多的处理和分析方法,以及内在的方法学局限性)。在实践中,研究人员/临床医生必须从众多可用选项中为fMRI分析流程的每个阶段选择最合适的软件工具。在此,我们提供一份简明指南,旨在针对每个主要阶段阐述该过程中涉及的技术和工具。我们编写本指南既是为了帮助该技术的新手克服使用中的最关键困难,也是为神经成像领域提供一份参考资料。