Institute for Systems and Robotics, Department of Bioengineering, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal; Biomedical Imaging Research Center, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Biomedical Imaging Research Center, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Neuroimage. 2014 Nov 15;102 Pt 1:24-34. doi: 10.1016/j.neuroimage.2013.05.114. Epub 2013 May 31.
Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) have proved to be extremely valuable tools for the non-invasive study of human brain function. Moreover, due to a notable degree of complementarity between the two modalities, the combination of EEG and fMRI data has been actively sought in the last two decades. Although initially focused on epilepsy, EEG-fMRI applications were rapidly extended to the study of healthy brain function, yielding new insights into its underlying mechanisms and pathways. Nevertheless, EEG and fMRI have markedly different spatial and temporal resolutions, and probe neuronal activity through distinct biophysical processes, many aspects of which are still poorly understood. The remarkable conceptual and methodological challenges associated with EEG-fMRI integration have motivated the development of a wide range of analysis approaches over the years, each relying on more or less restrictive assumptions, and aiming to shed further light on the mechanisms of brain function along with those of the EEG-fMRI coupling itself. Here, we present a review of the most relevant EEG-fMRI integration approaches yet proposed for the study of brain function, supported by a general overview of our current understanding of the biophysical mechanisms coupling the signals obtained from the two modalities.
脑电图（EEG）和功能磁共振成像（fMRI）已被证明是研究人类大脑功能的非侵入性方法中非常有价值的工具。此外，由于这两种模式之间具有显著的互补性，因此在过去二十年中，人们一直在积极寻求将 EEG 和 fMRI 数据相结合。尽管最初的重点是癫痫，但 EEG-fMRI 的应用很快扩展到了对健康大脑功能的研究，为其潜在机制和途径提供了新的见解。然而，EEG 和 fMRI 的空间和时间分辨率明显不同，并且通过不同的生物物理过程来探测神经元活动，其中许多方面仍未被充分理解。EEG-fMRI 整合所涉及的显著概念和方法学挑战，促使多年来开发了广泛的分析方法，每种方法都依赖于或多或少的限制性假设，旨在进一步阐明大脑功能的机制以及 EEG-fMRI 耦合本身的机制。在这里，我们回顾了迄今为止为研究大脑功能而提出的最相关的 EEG-fMRI 整合方法，并结合我们对两种模式获得的信号的耦合的生物物理机制的一般理解进行了支持。
