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当前用于跨发展阶段的纵向 fMRI 分析的方法和局限性。

Current methods and limitations for longitudinal fMRI analysis across development.

机构信息

Radiology, University of Washington, United States.

Psychology, University of Washington, United States.

出版信息

Dev Cogn Neurosci. 2018 Oct;33:118-128. doi: 10.1016/j.dcn.2017.11.006. Epub 2017 Nov 22.

Abstract

The human brain is remarkably plastic. The brain changes dramatically across development, with ongoing functional development continuing well into the third decade of life and substantial changes occurring again in older age. Dynamic changes in brain function are thought to underlie the innumerable changes in cognition, emotion, and behavior that occur across development. The brain also changes in response to experience, which raises important questions about how the environment influences the developing brain. Longitudinal functional magnetic resonance imaging (fMRI) studies are an essential means of understanding these developmental changes and their cognitive, emotional, and behavioral correlates. This paper provides an overview of common statistical models of longitudinal change applicable to developmental cognitive neuroscience, and a review of the functionality provided by major software packages for longitudinal fMRI analysis. We demonstrate that there are important developmental questions that cannot be answered using available software. We propose alternative approaches for addressing problems that are commonly faced in modeling developmental change with fMRI data.

摘要

人类大脑具有很强的可塑性。大脑在发育过程中会发生巨大的变化,其功能的持续发展一直持续到生命的第三个十年,并且在老年时还会发生实质性的变化。人们认为,大脑功能的动态变化是认知、情感和行为在整个发育过程中发生无数变化的基础。大脑也会对经验做出反应,这就提出了一个重要的问题,即环境如何影响发育中的大脑。纵向功能磁共振成像(fMRI)研究是理解这些发育变化及其认知、情感和行为相关性的重要手段。本文概述了适用于发展认知神经科学的常见纵向变化统计模型,并回顾了主要纵向 fMRI 分析软件包提供的功能。我们证明,有一些重要的发展问题是无法用现有软件来回答的。我们提出了替代方法来解决在 fMRI 数据建模中常见的发展变化问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/748d/6969279/90cceb083ef2/gr1.jpg

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