Within-subject joint independent component analysis of simultaneous fMRI/ERP in an auditory oddball paradigm.
Within-subject joint independent component analysis of simultaneous fMRI/ERP in an auditory oddball paradigm.
复制标题
在听觉奇怪范式中对同步 fMRI/ERP 进行受试者内联合独立成分分析。
DOI：
10.1016/j.neuroimage.2012.02.030
复制
发表时间：
2012
期刊：
影响因子：
5.7
通讯作者：
Liebenthal,E
中科院分区：
文献类型：
--
作者：
Mangalathu-Arumana,J;Beardsley,SA;Liebenthal,E
The integration of event-related potential (ERP) and functional magnetic resonance imaging (fMRI) can contribute to characterizing neural networks with high temporal and spatial resolution. This research aimed to determine the sensitivity and limitations of applying joint independent component analysis (jICA) within-subjects, for ERP and fMRI data collected simultaneously in a parametric auditory frequency oddball paradigm. In a group of 20 subjects, an increase in ERP peak amplitude ranging 1–8μV in the time window of the P300 (350–700ms), and a correlated increase in fMRI signal in a network of regions including the right superior temporal and supramarginal gyri, was observed with the increase in deviant frequency difference. JICA of the same ERP and fMRI group data revealed activity in a similar network, albeit with stronger amplitude and larger extent. In addition, activity in the left pre- and post-central gyri, likely associated with right hand somato-motor response, was observed only with the jICA approach. Within-subject, the jICA approach revealed significantly stronger and more extensive activity in the brain regions associated with the auditory P300 than the P300 linear regression analysis. The results suggest that with the incorporation of spatial and temporal information from both imaging modalities, jICA may be a more sensitive method for extracting common sources of activity between ERP and fMRI.
