A training program for researchers in population neuroimaging: Early experiences.

Caterina Rosano
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Abstract

Recent advances in neuroimaging create groundbreaking opportunities to better understand human neurological and psychiatric diseases, but also bring new challenges. With the advent of more and more sophisticated and efficient multimodal image processing software, we can now study much larger populations and integrate information from multiple modalities. In consequence, investigators that use neuroimaging techniques must also understand and apply principles of population sampling and contemporary data analytic techniques. The next generation of neuroimaging researchers must be skilled in numerous previously distinct disciplines and so a new integrated model of training is needed. This tutorial presents the rationale for such a new training model and presents the results from the first years of the training program focused on population neuroimaging of Alzheimer's Disease. This approach is applicable to other areas of population neuroimaging.

Abstract Image

Abstract Image

人口神经影像研究人员训练计划:早期经验。
神经影像学的最新进展为更好地了解人类神经和精神疾病创造了开创性的机会,但也带来了新的挑战。随着越来越多复杂和高效的多模态图像处理软件的出现,我们现在可以研究更大的人群并整合来自多模态的信息。因此,使用神经成像技术的研究人员也必须理解和应用人口抽样和当代数据分析技术的原则。下一代的神经影像学研究人员必须熟练掌握许多先前不同的学科,因此需要一种新的综合训练模式。本教程介绍了这种新的培训模式的基本原理,并介绍了培训计划第一年的结果,重点是阿尔茨海默病的人群神经影像学。这种方法适用于人群神经成像的其他领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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