EEG-fMRI INTEGRATION: A CRITICAL REVIEW OF BIOPHYSICAL MODELING AND DATA ANALYSIS APPROACHES

被引:78
作者
Rosa, M. J. [1 ]
Daunizeau, J. [1 ,2 ]
Friston, K. J. [1 ]
机构
[1] UCL, Wellcome Trust Ctr Neuroimaging, Inst Neurol, London, England
[2] Univ Zurich, Lab Social & Neural Syst Res, Inst Empir Res Econ, CH-8006 Zurich, Switzerland
基金
英国惠康基金;
关键词
Neuroimaging; information fusion; functional segregation; functional integration; event-related; neurophysiology; data-driven; model-based; Bayesian analysis; model comparison; CEREBRAL-BLOOD-FLOW; FUNCTIONAL MRI; SOURCE LOCALIZATION; BRAIN ACTIVITY; BOLD SIGNAL; NEURONAL-ACTIVITY; HEMODYNAMIC SIGNALS; SYNAPTIC ACTIVITY; EPILEPTIC SPIKES; NEURAL ACTIVITY;
D O I
10.1142/S0219635210002512
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The diverse nature of cerebral activity, as measured using neuroimaging techniques, has been recognised long ago. It seems obvious that using single modality recordings can be limited when it comes to capturing its complex nature. Thus, it has been argued that moving to a multimodal approach will allow neuroscientists to better understand the dynamics and structure of this activity. This means that integrating information from different techniques, such as electroencephalography (EEG) and the blood oxygenated level dependent (BOLD) signal recorded with functional magnetic resonance imaging (fMRI), represents an important methodological challenge. In this work, we review the work that has been done thus far to derive EEG/fMRI integration approaches. This leads us to inspect the conditions under which such an integration approach could work or fail, and to disclose the types of scientific questions one could (and could not) hope to answer with it.
引用
收藏
页码:453 / 476
页数:24
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