认知神经科学功能性神经影像学分析的最新进展。
Recent advances in functional neuroimaging analysis for cognitive neuroscience.
作者信息
Williams Nitin, Henson Richard N
机构信息
Neuroscience Center, Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
出版信息
Brain Neurosci Adv. 2018 Jan 19;2:2398212817752727. doi: 10.1177/2398212817752727. eCollection 2018 Jan-Dec.
Functional magnetic resonance imaging and electro-/magneto-encephalography are some of the main neuroimaging technologies used by cognitive neuroscientists to study how the brain works. However, the methods for analysing the rich spatial and temporal data they provide are constantly evolving, and these new methods in turn allow new scientific questions to be asked about the brain. In this brief review, we highlight a handful of recent analysis developments that promise to further advance our knowledge about the working of the brain. These include (1) multivariate approaches to decoding the content of brain activity, (2) time-varying approaches to characterising states of brain connectivity, (3) neurobiological modelling of neuroimaging data, and (4) standardisation and big data initiatives.
功能磁共振成像以及脑电图/脑磁图是认知神经科学家用于研究大脑工作方式的一些主要神经成像技术。然而，分析它们所提供的丰富时空数据的方法在不断发展，而这些新方法反过来又使得人们能够提出有关大脑的新科学问题。在这篇简短的综述中，我们重点介绍了一些近期的分析进展，这些进展有望进一步增进我们对大脑工作方式的了解。其中包括：（1）用于解码大脑活动内容的多变量方法；（2）用于表征大脑连接状态的时变方法；（3）神经成像数据的神经生物学建模；以及（4）标准化和大数据计划。
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