Abstract
The previous neuroimaging studies have found that two major cognitive sub-processes, action perception and mental inference, participate in understanding others’ action intention, but it is unclear that the role of action observation network (AON) for mentalizing network (MZN) of intention inference. To provide direct causal evidence about the relationship between the two systems, this EEG study adopted Granger causality method to detect the circuit of directed information transfer from action perception to intention inference process during a “hand-cup interaction” observation task with two types of actions, i.e., usual intention-oriented action and unintelligible action. The graph-theoretical results of causal connectivity network show that left-lateral posterior parietal-occipital brain area acts as “effect” nodes in AON during action perception period but plays the role of “cause” nodes in MZN, especially for understanding other’s unintelligible action that requires higher cognitive function for mentalizing inference. From the evidence, this study suggests that left-lateral parietal-occipital brain area can be viewed as a hub of internodal directed connection transition from AON to MZN, so that the two systems could cooperate with each other by means of temporal reception and transmission of perceptional information to judge other’s actual intention.
Supported by Key Laboratory of Child Development and Learning Science (Southeast University), Ministry of Education, PR China.
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References
Becchio, C., Cavallo, A., Begliomini, C., Sartori, L., Feltrin, G., Castiello, U.: Social grasping: from mirroring to mentalizing. Neuroimage 61(1), 240–248 (2016)
Cacioppo, S., Weiss, R.M., Runesha, H.B., Cacioppo, J.T.: Dynamic spatiotemporal brain analyses using high performance electrical neuroimaging: theoretical framework and validation. J. Neurosci. Meth. 238, 11–34 (2014)
Cacioppo, S., Cacioppo, J.T.: Dynamic spatiotemporal brain analyses using high-performance electrical neuroimaging, part II: a step-by-step tutorial. J. Neurosci. Meth. 256, 184–197 (2015)
Carter, E.J., Hodgins, J.K., Rakison, D.H.: Exploring the neural correlates of goal-directed action and intention understanding. Neuroimage 54(2), 1634–1642 (2011)
Catmur, C.: Understanding intentions from actions: direct perception, inference, and the roles of mirror and mentalizing systems. Conscious. Cogn. 36, 426–433 (2015)
Ruggiero, M., Catmur, C.: Mirror neurons and intention understanding: dissociating the contribution of object type and intention to mirror responses using electromyography. Psychophysiology e13061 (2018)
Catmur, C.: Unconvincing support for role of mirror neurons in “action understanding”: Commentary on Michael, et al. Front. Hum. Neurosci. 8, 553 (2014)
Kim, S., Yu, Z., Lee, M.: Understanding human intention by connecting perception and action learning in artificial agents. Neural Netw. 92, 29–38 (2017)
Atique, B., Erb, M., Gharabaghi, A., Grodd, W., Anders, S.: Task-specific activity and connectivity within the mentalizing network during emotion and intention mentalizing. Neuroimage 55(4), 1899–1911 (2011)
Gramfort, A., Papadopoulo, T., Olivi, E., Clerc, M.: OpenMEEG: opensource software for quasistatic bioelectromagnetics. Biomed. Eng. Online 9(1), 45 (2010)
Luo, Q., Lu, W., Cheng, W., Valdes-Sosa, P.A., Wen, X., Ding, M.: Spatio-temporal granger causality: a new framework. Neuroimage 79, 241–263 (2013)
Sporns, O.: Contributions and challenges for network models in cognitive neuroscience. Nat. Neurosci. 17(5), 652–660 (2014)
Zhang, L., Gan, J.Q., Zheng, W., Wang, H.: Spatiotemporal phase synchronization in adaptive reconfiguration from action observation network to mentalizing network for understanding other’s action intention. Brain Topogr. 31(3), 447–467 (2018)
Acknowledgements
This work was supported in part by the Natural Science Foundation of Jiangsu Province under Grant BK20221181, the Natural Science Foundation of China under Grants 62077013 and 31900710, and the Fundamental Research Funds for the Central Universities under Grants 2242022k30036 and 2242022k30037.
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Zhang, L., Wang, J., Zhu, Y. (2023). Causal Connectivity Transition from Action Observation to Mentalizing Network for Understanding Other’s Action Intention. In: Tanveer, M., Agarwal, S., Ozawa, S., Ekbal, A., Jatowt, A. (eds) Neural Information Processing. ICONIP 2022. Communications in Computer and Information Science, vol 1792. Springer, Singapore. https://doi.org/10.1007/978-981-99-1642-9_30
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DOI: https://doi.org/10.1007/978-981-99-1642-9_30
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