Gispert J D, Pascau J, Reig S, García-Barreno P, Desco M
Laboratorio de Imagen Médica, Medicina y Cirugía Experimental, Hospital General Universitario Gregorio Marañón, Madrid, Spain.
Rev Esp Med Nucl. 2003 Jan-Feb;22(1):43-53. doi: 10.1016/s0212-6982(03)72141-7.
In the scope of medical research, functional neuroimaging analysis permits the study of pathological or cognitive cerebral processes by using statistical quantification techniques. A tool of increasing use is the SPM (Statistical Parametric Mapping) software due to its wide availability and the variety of statistical studies that can be made. Nevertheless, being unaware of the theoretical background on which it is based may easily lead to inaccurate results and even to the reaching of erroneous conclusions. The present article summarizes these theoretical principles and discusses the main key points of the method without requiring advanced mathematical knowledge.
在医学研究范围内,功能神经影像学分析通过使用统计量化技术,允许对病理性或认知性大脑过程进行研究。由于其广泛可用性以及可进行的各种统计研究,一种使用越来越多的工具是SPM(统计参数映射)软件。然而,不了解其背后的理论背景可能很容易导致结果不准确,甚至得出错误结论。本文总结了这些理论原则,并在不需要高等数学知识的情况下讨论了该方法的主要关键点。