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如何在人类的区域水平上研究神经生化关系?结合功能与生化成像的方法学考虑。

How to investigate neuro-biochemical relationships on a regional level in humans? Methodological considerations for combining functional with biochemical imaging.

出版信息

J Neurosci Methods. 2014 Jan 15;221:183-8.

Abstract

There is an increasing interest in combining different imaging modalities to investigate the relationship between neural and biochemical activity. More specifically, imaging techniques like MRS and PET that allow for biochemical measurement are combined with techniques like fMRI and EEG that measure neural activity in different states. Such combination of neural and biochemical measures raises not only technical issues, such as merging the different data sets, but also several methodological issues. These methodological issues – ranging from hypothesis generation and hypothesis-guided use of technical facilities to target measures and experimental measures – are the focus of this paper. We discuss the various methodological problems and issues raised by the combination of different imaging methodologies in order to investigate neuro-biochemical relationships on a regional level in humans. For example, the choice of transmitter and scan type is discussed, along with approaches to allow the establishment of particular specificities (such as regional or biochemical) to in turn make results fully interpretable. An algorithm that can be used as a form of checklist for designing such multimodal studies is presented. The paper concludes that while several methodological and technical caveats needs to be overcome and addressed, multimodal imaging of the neuro-biochemical relationship provides an important tool to better understand the physiological mechanisms of the human brain.

摘要

人们越来越感兴趣的是将不同的成像模式结合起来,以研究神经和生化活动之间的关系。更具体地说,像 MRS 和 PET 这样可以进行生化测量的成像技术与 fMRI 和 EEG 等测量不同状态下神经活动的技术相结合。这种神经和生化测量的结合不仅提出了技术问题,例如合并不同的数据集,还提出了几个方法学问题。这些方法学问题——从生成假设和基于假设使用技术设施到目标测量和实验测量——是本文的重点。我们讨论了不同成像方法结合所带来的各种方法学问题和挑战,以便在人类中研究神经生化关系的区域水平。例如,我们讨论了递质和扫描类型的选择,以及允许建立特定特异性(如区域或生化特异性)的方法,从而使结果完全可解释。本文提出了一种可用于设计此类多模态研究的算法。该论文的结论是,虽然需要克服和解决几个方法学和技术上的问题,但神经生化关系的多模态成像为更好地理解人类大脑的生理机制提供了一个重要工具。

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