Mr. Ruiyang Ge Profile

Ruiyang Ge

at Beijing Normal Univ

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Publications (2)

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Proceedings Article | 29 March 2013 Paper

Motor execution and imagery: a comparison of the functional network based on ICA and hierarchical integration

Mingqi Hui, Hang Zhang, Ruiyang Ge, Li Yao, Zhiying Long

Proceedings Volume 8672, 86720Q (2013) https://doi.org/10.1117/12.2006367

KEYWORDS: Brain, Cerebellum, Independent component analysis, Shape memory alloys, Neuroimaging, Information fusion, Scanners, Sensors, Magnetic resonance imaging, Functional magnetic resonance imaging

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Neuroimaging studies have revealed that motor imagery (MI) shared similar neural substrates with motor execution (ME) though there are some differences in the activation pattern. Most previous studies generally focused on voxel-wise based analysis. However, the congruence and difference in functional brain network relevant to MI and ME task has been rarely investigated. In this study, independent component analysis (ICA) was applied to characterize the functional brain networks underlying MI and ME. Results shows that the brain networks underlying MI and ME shared similar brain regions consisted of supplementary motor area (SMA), contralateral primary sensorimotor area (M1/S1), striatum, bilateral premotor area (PMA), posterior parietal lobule (PPL), and cerebellum. However, the ME task induced stronger activities in SMA-proper, bilateral M1/S1 and cerebellum while the MI task produced greater activities in preSMA, right cerebellum, bilateral PMA, parietal cortex and striatum. These findings are in accordance with the model proposed by Hikosaka (2002) that includes the parietal–prefrontal cortical loops for a spatial sequence and the motor cortical loops for a motor sequence. Moreover, the functional connectivity within the MI/ME-relevant network was evaluated using hierarchical integration that can quantify the total amount of interaction within the network and further assess the information exchanges within/between sub-networks. Results of hierarchical integration further indicate that parietalprefrontal areas contributes more to the integration of MI network than that of ME network while motor cortical areas contributes more to the integration of ME network than that of MI network.

Proceedings Article | 14 April 2012 Paper

Neural mechanism underlying autobiographical memory modulated by remoteness and emotion

Ruiyang Ge, Yan Fu, DaHua Wang, Li Yao, Zhiying Long

Proceedings Volume 8317, 83170X (2012) https://doi.org/10.1117/12.910870

KEYWORDS: Functional magnetic resonance imaging, Cerebellum, Brain, Modulation, Statistical analysis, Scanners, Visualization, Functional imaging, Magnetic resonance imaging, Radon

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Autobiographical memory is the ability to recollect past events from one's own life. Both emotional tone and memory remoteness can influence autobiographical memory retrieval along the time axis of one's life. Although numerous studies have been performed to investigate brain regions involved in retrieving processes of autobiographical memory, the effect of emotional tone and memory age on autobiographical memory retrieval remains to be clarified. Moreover, whether the involvement of hippocampus in consolidation of autobiographical events is time dependent or independent has been controversial. In this study, we investigated the effect of memory remoteness (factor1: recent and remote) and emotional valence (factor2: positive and negative) on neural correlates underlying autobiographical memory by using functional magnetic resonance imaging (fMRI) technique. Although all four conditions activated some common regions known as "core" regions in autobiographical memory retrieval, there are some other regions showing significantly different activation for recent versus remote and positive versus negative memories. In particular, we found that bilateral hippocampal regions were activated in the four conditions regardless of memory remoteness and emotional valence. Thus, our study confirmed some findings of previous studies and provided further evidence to support the multi-trace theory which believes that the role of hippocampus involved in autobiographical memory retrieval is time-independent and permanent in memory consolidation.

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