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Coupled Temporal Variation and Distant Synchronization of Spontaneous Brain Activity in Hypnosis for Respiration Control


Y Liu

Y Liu1, R Li2 , S Yu1 , Z Zhang1, Y Xie1* , (1) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China, (2) Huawei Technologies Co., Ltd., Shenzhen 518055, China

Presentations

SU-K-708-10 (Sunday, July 30, 2017) 4:00 PM - 6:00 PM Room: 708


Purpose: Hypnosis has been proven with effectiveness in respiratory motion control. Alterations of spontaneous brain activity therein are observed in previous studies. This study aims to explored the relationship of temporal variation and signal synchronization of brain activity in hypnosis for respiration control.

Methods: A resting-state functional magnetic resonance imaging was employed to an intra-subject design of 15 hypnotist subjects in two state: normal state(NS) and hypnosis state(HS) that guided by hypnotist with relaxation suggestion for respiration control. Amplitude of low frequency fluctuation (ALFF) (0.01-0.08Hz) was calculated as temporal variation. Regional synchronization (ReHo) and degree centrality (DC) were calculated to reflect local and distant synchronization respectively. The relationship of temporal variation and signal synchronization was explored by Pearson correlation within four conventional large scale of resting-state of networks identified by seed-wise functional connectivity. Additional, a set of intrinsic networks template nodes were applied to the relationship detection to examine the robustness of the results.

Results: The results demonstrated that enhanced positive correlations were observed between temporal variation and local/distant signal synchronization within four intrinsic networks (Fig.S1 A), during hypnosis state for respiration control (ALFF-ReHo/DC: r=0.86/0.38 in NS, r=0.87/0.62 in HS.) (Fig.S1 B,C,D). Most importantly, coupled correlation relationship of temporal variation and distant synchronization were demonstrated in hypnosis (r=0.38, P>0.05 in NS, r=0.62, P<0.005 in HS) (Fig.S1 B,C). Moreover, the findings were robust in response to various thresholds of DC (Fig.S1 E) and another set of networks, suggesting the absence of topographies dependency (Fig.S2).

Conclusion: The coupled temporal variation and distant synchronization of brain activity in hypnosis for respiration control revealed the potential attendance of neural control mechanism. This study provided implications of neural expression of hypnosis extended the knowledge of interaction among psychology, physiology and cognitive neuroscience.

Funding Support, Disclosures, and Conflict of Interest: This work is supported by Guangdong Innovative Research Team Program of China(Grant No.2011S013), National Key R&D Program of China(Grant No.2016YFC0105102) and Key Technology Program of Shenzhen (Grant No.JSGG20160229203812944). The corresponding author Yaoqin Xie has full access to this work and final decision of submit. The authors declare no competing interests.


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