功能磁共振成像在认知神经科学中的未来。
The future of fMRI in cognitive neuroscience.
机构信息
Department of Psychology and Neurobiology and Imaging Research Center, University of Texas, Austin, TX 78759, USA.
出版信息
Neuroimage. 2012 Aug 15;62(2):1216-20. doi: 10.1016/j.neuroimage.2011.08.007. Epub 2011 Aug 11.
Abstract
Over the last 20 years, fMRI has revolutionized cognitive neuroscience. Here I outline a vision for what the next 20 years of fMRI in cognitive neuroscience might look like. Some developments that I hope for include increased methodological rigor, an increasing focus on connectivity and pattern analysis as opposed to "blobology", a greater focus on selective inference powered by open databases, and increased use of ontologies and computational models to describe underlying processes.
摘要
在过去的 20 年里，功能磁共振成像（fMRI）彻底改变了认知神经科学。在此，我概述了未来 20 年认知神经科学中 fMRI 的发展前景。我希望看到一些进展，包括提高方法学的严谨性，更多地关注连接和模式分析，而不是“blobology”，更关注通过开放数据库进行的选择性推理，以及更多地使用本体论和计算模型来描述潜在的过程。
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1
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Perspect Psychol Sci. 2009 May;4(3):274-90. doi: 10.1111/j.1745-6924.2009.01125.x.
2
Parallel Distributed Processing at 25: further explorations in the microstructure of cognition.《并行分布式处理》25周年：认知微观结构的进一步探索
Cogn Sci. 2014 Aug;38(6):1024-77. doi: 10.1111/cogs.12148. Epub 2014 Aug 4.
3
Mapping Mental Function to Brain Structure: How Can Cognitive Neuroimaging Succeed?将心理功能映射到脑结构：认知神经成像如何才能取得成功？
Perspect Psychol Sci. 2010 Nov;5(6):753-61. doi: 10.1177/1745691610388777.
4
The cognitive atlas: toward a knowledge foundation for cognitive neuroscience.认知图谱：迈向认知神经科学的知识基础。
Front Neuroinform. 2011 Sep 6;5:17. doi: 10.3389/fninf.2011.00017. eCollection 2011.
5
Large-scale automated synthesis of human functional neuroimaging data.大规模自动化合成人类功能神经影像学数据。
Nat Methods. 2011 Jun 26;8(8):665-70. doi: 10.1038/nmeth.1635.
6
The cognitive paradigm ontology: design and application.认知范式本体论：设计与应用。
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8
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