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  • Electroencephalography and functional magnetic resonance imaging are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyse simultaneous measured data from both modalities. The main motivation is to achieve the best time (by EEG) and spatial (by fMRI) resolution for analysed data. This paper describes how EEG data processing may enhance analysis of EEG/fMRI.
  • Electroencephalography and functional magnetic resonance imaging are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyse simultaneous measured data from both modalities. The main motivation is to achieve the best time (by EEG) and spatial (by fMRI) resolution for analysed data. This paper describes how EEG data processing may enhance analysis of EEG/fMRI. (en)
Title
  • EEG/fMRI Analysis Enhancement using EEG Data Processing
  • EEG/fMRI Analysis Enhancement using EEG Data Processing (en)
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  • EEG/fMRI Analysis Enhancement using EEG Data Processing
  • EEG/fMRI Analysis Enhancement using EEG Data Processing (en)
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  • RIV/00216305:26220/11:PU95085!RIV12-MSM-26220___
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  • P(1M0572), P(GAP304/11/1318), S, Z(MSM0021630513)
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  • 196111
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  • RIV/00216305:26220/11:PU95085
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  • fMRI, EEG, General Linear Model, Regressor, Source Reconstruction (en)
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  • [601B604ACBA3]
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  • Jan, Jiří
  • Labounek, René
  • Lamoš, Martin
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  • 26220
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