TY - GEN
T1 - Investigating Effective Brain Networks of Action Observation Tasks from Different Visual Perspectives based on Generalized Partial Directed Coherence
T2 - 5th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
AU - He, Jing
AU - Lan, Wenli
AU - Yang, Hui
AU - Lin, Pan
AU - Leng, Yue
AU - Wang, Ruimin
AU - Iramina, Keiji
AU - Ge, Sheng
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/10/15
Y1 - 2021/10/15
N2 - Several studies have been provided the principal activated regions and locations during action observation. However, it remains unclear that the dynamic link and information flows in different visual perspectives during the action observation tasks. The aim of this study was investigating the effective connectivity of different visual perspectives during action observation tasks and classify the perspectives. Eleven regions were selected as the regions of interest (ROI) by meta-analysis using the term of "action observation"for this study. We employed weighted and directed (WD) brain networks by Generalized partial directed coherence (GPDC) on the fMRI BOLD time series of action observation tasks from different visual perspectives. Afterward, the paired sample t-test was implemented to find the alteration of brain networks between the two perspectives. According to the results, global efficiency, local efficiency and cluster coefficient were statistically significantly different between first-person perspective (1PP) and third-person perspective (3PP) in Supplementary motor cortex (SMA) and Right inferior parietal lobe (RIPL) and Left inferior parietal lobe (LIPL). These three regions which we considered may provide the additional support for the visuospatial transformation from 3PP to 1PP. WD brain network topological measures of SMA, RIPL and LIPL were also selected to classify the 1PP and 3PP using support vector machine (SVM) with the best accuracy close to 90%.
AB - Several studies have been provided the principal activated regions and locations during action observation. However, it remains unclear that the dynamic link and information flows in different visual perspectives during the action observation tasks. The aim of this study was investigating the effective connectivity of different visual perspectives during action observation tasks and classify the perspectives. Eleven regions were selected as the regions of interest (ROI) by meta-analysis using the term of "action observation"for this study. We employed weighted and directed (WD) brain networks by Generalized partial directed coherence (GPDC) on the fMRI BOLD time series of action observation tasks from different visual perspectives. Afterward, the paired sample t-test was implemented to find the alteration of brain networks between the two perspectives. According to the results, global efficiency, local efficiency and cluster coefficient were statistically significantly different between first-person perspective (1PP) and third-person perspective (3PP) in Supplementary motor cortex (SMA) and Right inferior parietal lobe (RIPL) and Left inferior parietal lobe (LIPL). These three regions which we considered may provide the additional support for the visuospatial transformation from 3PP to 1PP. WD brain network topological measures of SMA, RIPL and LIPL were also selected to classify the 1PP and 3PP using support vector machine (SVM) with the best accuracy close to 90%.
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U2 - 10.1109/ITNEC52019.2021.9587117
DO - 10.1109/ITNEC52019.2021.9587117
M3 - Conference contribution
AN - SCOPUS:85119286337
T3 - IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
SP - 801
EP - 807
BT - IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2021
A2 - Xu, Bing
A2 - Mou, Kefen
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 15 October 2021 through 17 October 2021
ER -