用神经影像学数据的多变量模式分析检验认知理论。

IF 21.4 1区心理学 Q1 MULTIDISCIPLINARY SCIENCES

Nature Human Behaviour Pub Date : 2023-08-17 DOI:10.1038/s41562-023-01680-z

Marius V. Peelen, Paul E. Downing

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引用次数: 1

摘要

多变量模式分析（MVPA）已成为分析功能性磁共振成像、脑电图和脑磁图数据的一种强大方法。MVPA提供的实验设计和假设检验的新方法使在功能水平上描述认知的理论成为可能。在这里，我们回顾了一系列使用MVPA测试认知理论的研究，这些理论来自一系列领域，包括感知、注意力、记忆、导航、情绪、社会认知和运动控制。这一宽泛的观点揭示了MVPA的特性，使其适合于理解人类认知的“方式”，例如测试在项目或事件层面表达的预测的能力。它还揭示了局限性，并指出了未来的方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Testing cognitive theories with multivariate pattern analysis of neuroimaging data

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Testing cognitive theories with multivariate pattern analysis of neuroimaging data

Multivariate pattern analysis (MVPA) has emerged as a powerful method for the analysis of functional magnetic resonance imaging, electroencephalography and magnetoencephalography data. The new approaches to experimental design and hypothesis testing afforded by MVPA have made it possible to address theories that describe cognition at the functional level. Here we review a selection of studies that have used MVPA to test cognitive theories from a range of domains, including perception, attention, memory, navigation, emotion, social cognition and motor control. This broad view reveals properties of MVPA that make it suitable for understanding the ‘how’ of human cognition, such as the ability to test predictions expressed at the item or event level. It also reveals limitations and points to future directions. Peelen and Downing review the use of multivariate pattern analysis in cognitive neuroscience to study cognition at the functional level.

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来源期刊

Nature Human Behaviour Psychology-Social Psychology

CiteScore

36.80

自引率

1.00%

发文量

227

期刊介绍： Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.