Title | ||
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Combined distributed source and single-trial EEG-fMRI modeling: application to effortful decision making processes. |
Abstract | ||
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Single-trial coupling of simultaneously recorded EEG and fMRI time-series can be used to generate fMRI patterns of brain activity with high spatial resolution from EEG responses with high temporal resolution. A forced choice reaction task under different effort conditions has been previously used to demonstrate single-trial EEG–fMRI coupling effects for an early ERP component (N1: 70–150 ms) measured on a single scalp channel (Cz), thereby providing the first multi-modal evidence of early anterior cingulate cortex (ACC) activation in effortful decision making (Mulert, C., Seifert, C., Leicht, G., Kirsch, V., Ertl, M., Karch, S., Moosmann, M., Lutz, J., Möller, H.J., Hegerl, U., Pogarell, O., Jäger, L., 2008. Single-trial coupling of EEG and fMRI reveals the involvement of early anterior cingulate cortex activation in effortful decision making. Neuroimage 42, 158–168.). In this work, we searched for “effort-specific” ERP-N1 sources and explored their single-trial EEG–fMRI correlations for discovering “source-specific” inter-modality coupling effects. To this end, we performed a whole-cortex distributed ERP analysis and used the local source power trial-by-trial variation as an input for single-trial EEG–fMRI coupling analysis. |
Year | DOI | Venue |
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2009 | 10.1016/j.neuroimage.2009.03.074 | NeuroImage |
Keywords | Field | DocType |
EEG,fMRI,Simultaneous EEG–fMRI,Multi-modal imaging,Distributed source modeling,Mental effort | Brain mapping,Mental effort,Developmental psychology,Two-alternative forced choice,Psychology,Brain activity and meditation,Distributed source,Anterior cingulate cortex,Electroencephalography,EEG-fMRI | Journal |
Volume | Issue | ISSN |
47 | 1 | 1053-8119 |
Citations | PageRank | References |
12 | 0.78 | 10 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Fabrizio Esposito | 1 | 421 | 36.61 |
Christoph Mulert | 2 | 151 | 14.09 |
rainer goebel | 3 | 476 | 40.13 |