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- W2009045061 abstract "In contrast to the FMRI methods widely used up to now, this method try to understand more profoundly how the brainsystems work under sentence processing task map accurately the spatiotemporal patterns of activity of the largeneuronal populations in the human brain from the analysis of ERP data recorded on the brain scalp. In this study, anevent-related brain potential (ERP) paradigm to record the on-line responses to the processing of sentences is chosen asan example. In order to give attention to both utilizing the ERPs' temporal resolution of milliseconds and overcomingthe insensibility of cerebral location ERP sources, we separate these sources in space and time based on a combinedmethod of independent component analysis (ICA) and low-resolution tomography (LORETA) algorithms. ICA blindlyseparate the input ERP data into a sum of temporally independent and spatially fixed components arising from distinctor overlapping brain or extra-brain sources. And then the spatial maps associated with each ICA component areanalyzed, with use of LORETA to uniquely locate its cerebral sources throughout the full brain according to theassumption that neighboring neurons are simultaneously and synchronously activated. Our results show that the cerebralcomputation mechanism underlies content words reading is mediated by the orchestrated activity of several spatiallydistributed brain sources located in the temporal, frontal, and parietal areas, and activate at distinct time intervals and aregrouped into different statistically independent components. Thus ICA-LORETA analysis provides an encouraging andeffective method to study brain dynamics from ERP." @default.
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- W2009045061 date "2007-03-08" @default.
- W2009045061 modified "2023-09-23" @default.
- W2009045061 title "Spatiotemporal patterns of ERP based on combined ICA-LORETA analysis" @default.
- W2009045061 doi "https://doi.org/10.1117/12.706229" @default.
- W2009045061 hasPublicationYear "2007" @default.
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