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功能磁共振成像——对精神分裂症检测的启示

Functional Magnetic Resonance Imaging - Implications for Detection of Schizophrenia.

作者信息

Demirci Oguz, Calhoun Vince D

机构信息

The Mind Research Network, Albuquerque.

出版信息

Eur Neurol Rev. 2009 Dec;4(2):103-106. doi: 10.17925/enr.2009.04.02.103.

DOI:10.17925/enr.2009.04.02.103
PMID:21743814
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3130309/
Abstract

Functional magnetic resonance imaging (fMRI) is an invaluable non-invasive instrument that has been used to investigate physiological disturbances that lead to manifest psychiatric illnesses. It is hoped that efficient application of fMRI can be utilised to characterise and diagnose mental illnesses such as schizophrenia. Although there are various fMRI research studies presenting very promising diagnosis results for schizophrenia, we believe that there is much to be done to develop effective diagnostic tools for clinical purposes. We present specific examples based mostly on our past and recent work together with various examples from the recent literature. We discuss where we currently stand in the efforts of fMRI being used for diagnosis of schizophrenia, examine common possible biases and offer some solutions with the hope that fMRI can be more efficiently used in diagnostic research.

摘要

功能磁共振成像(fMRI)是一种非常宝贵的非侵入性工具,已被用于研究导致明显精神疾病的生理紊乱。人们希望能够有效地应用fMRI来表征和诊断精神疾病,如精神分裂症。尽管有各种fMRI研究为精神分裂症呈现出非常有前景的诊断结果,但我们认为,要开发用于临床目的的有效诊断工具,仍有许多工作要做。我们主要基于我们过去和最近的工作给出具体例子,并结合近期文献中的各种例子。我们讨论了目前在将fMRI用于精神分裂症诊断的努力中所处的位置,研究常见的可能偏差,并提供一些解决方案,希望fMRI能够在诊断研究中得到更有效的应用。

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本文引用的文献

1
A Review of Challenges in the Use of fMRI for Disease Classification / Characterization and A Projection Pursuit Application from Multi-site fMRI Schizophrenia Study.功能磁共振成像用于疾病分类/特征描述的挑战综述以及多中心精神分裂症功能磁共振成像研究中的投影追踪应用
Brain Imaging Behav. 2008 Sep 1;2(3):147-226. doi: 10.1007/s11682-008-9028-1.
2
Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls.使用独立成分分析(ICA)和格兰杰因果关系在频谱域中研究功能磁共振成像(fMRI)脑网络之间的关系,揭示了精神分裂症患者与健康对照之间的明显差异。
Neuroimage. 2009 Jun;46(2):419-31. doi: 10.1016/j.neuroimage.2009.02.014. Epub 2009 Feb 23.
3
A projection pursuit algorithm to classify individuals using fMRI data: Application to schizophrenia.一种使用功能磁共振成像(fMRI)数据对个体进行分类的投影追踪算法:在精神分裂症中的应用。
Neuroimage. 2008 Feb 15;39(4):1774-82. doi: 10.1016/j.neuroimage.2007.10.012.
4
Synchronous neural interactions assessed by magnetoencephalography: a functional biomarker for brain disorders.通过脑磁图评估的同步神经相互作用:一种脑部疾病的功能性生物标志物。
J Neural Eng. 2007 Dec;4(4):349-55. doi: 10.1088/1741-2560/4/4/001. Epub 2007 Aug 27.
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Neuroimage. 2007 Jul 15;36(4):1189-99. doi: 10.1016/j.neuroimage.2007.04.009. Epub 2007 Apr 19.
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Reducing interscanner variability of activation in a multicenter fMRI study: controlling for signal-to-fluctuation-noise-ratio (SFNR) differences.在多中心功能磁共振成像(fMRI)研究中降低扫描仪间激活的变异性:控制信号与波动噪声比(SFNR)差异。
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Classification of functional brain images with a spatio-temporal dissimilarity map.基于时空差异图的功能性脑图像分类
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