Paper: | PS-2B.19 |
Session: | Poster Session 2B |
Location: | Symphony/Overture |
Session Time: | Friday, September 7, 19:30 - 21:30 |
Presentation Time: | Friday, September 7, 19:30 - 21:30 |
Presentation: |
Poster
|
Publication: |
2018 Conference on Cognitive Computational Neuroscience, 5-8 September 2018, Philadelphia, Pennsylvania |
Paper Title: |
Cortical Mirror-System Activation During Real-Life Game Playing: An Intracranial Electroencephalography (EEG) Study |
Manuscript: |
Click here to view manuscript |
DOI: |
https://doi.org/10.32470/CCN.2018.1096-0 |
Authors: |
Markus Kern, Translational Neurotechnology Lab, Germany; Johanna Ruescher, Faculty of Biology, Germany; Tonio Ball, Translational Neurotechnology Lab, Germany; Andreas Schulze-Bonhage, Epilepsy Center, Germany |
Abstract: |
Analogous to the mirror neuron system repeatedly described in monkeys as a possible substrate for imitation learning and/or action understanding, a neuronal execution/observation matching system (OEMS) is assumed in humans, but little is known to what extent this system is activated in non-experimental, real-life conditions. In the present case study, we investigated brain activity of this system during natural, non-experimental motor behavior as it occurred during playing of the board game ”Malefiz”. We compared spectral modulations of the high-gamma band related to ipsilateral reaching movement execution and observation of the same kind of movement using electrocorticography (ECoG) in one participant. Spatially coincident activity during both conditions execution and observation was recorded at electrode contacts over the premotor/primary motor cortex. The topography and amplitude of the high-gamma modulations related to both, movement observation and execution were clearly spatially correlated over several fronto-parietal brain areas. Thus, our findings indicate that a network of cortical areas contributes to the human OEMS, beyond primary/premotor cortex including Brocas area and the temporo-parieto-occipital junction area, in real-life conditions. |