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• W2893396862 abstract "Mu desynchronization is the attenuation of EEG power in the alpha frequency range recorded over central scalp locations thought to reflect motor cortex activation. Mu desynchronization during observation of an action is believed to reflect mirroring system activation in humans. However, this notion has recently been questioned because, among other reasons, the potential contamination of mu rhythm and occipital alpha activity induced by attention processes following presentation of visual stimuli in observation conditions. This study examined the validity of mu desynchronization as a measure of mirroring system activation in infants and further investigated the pattern of functional connectivity between the central and occipital regions during execution and observation of movement. EEG was recorded while 46 9-month-old infants executed grasping actions and observed an experimenter grasping. Current source density (CSD) was applied to EEG data and, time-frequency and connectivity analyses were performed in CSD transformed data. Mu desynchronization was evident over central regions during both execution and observation of movements. Independent alpha desynchronization over occipital region was also present in both conditions. The connectivity analyses revealed that central-occipital areas were functionally more connected compared to other areas of the brain during observation of movements. Collectively, the results demonstrate the validity of mu desynchronization as an index of infant mirroring system activity and support the proposal of a functional connection between distinct mirroring and attention processes during observation of action." @default.
• W2893396862 created "2018-10-05" @default.
• W2893396862 creator A5039059869 @default.
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• W2893396862 creator A5053931408 @default.
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• W2893396862 creator A5091693377 @default.
• W2893396862 date "2019-01-01" @default.
• W2893396862 modified "2023-09-29" @default.
• W2893396862 title "Mu rhythm desynchronization is specific to action execution and observation: Evidence from time-frequency and connectivity analysis" @default.
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• W2893396862 doi "https://doi.org/10.1016/j.neuroimage.2018.09.053" @default.
• W2893396862 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6261430" @default.
• W2893396862 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30248457" @default.
• W2893396862 hasPublicationYear "2019" @default.
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