Research on the effects of the continuous theta-burst transcranial magnetic stimuli on brain network in emotional processing_Journal of Biomedical Engineering

Authors：

LI Qi ¹ , CAO Dan ¹ ,  LI Yingjie ^1,2 , TANG Yingying ³

1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, P.R.China;
2. Qianwei-chang College, Shanghai University, Shanghai 200444, P.R.China;
3. Department of EEG Source Imaging Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200072, P.R.China;

Corresponding author：

LI Yingjie, Email: liyj@shu.edu.cn

Keywords：

event-related spectral perturbation; continuous theta-burst transcranial magnetic stimulation; brain network; the small-world characteristics; efficiency

DOI：

10.7507/1001-5515.201606048

Video：

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Abstract Full text Figures/Tables Video References Cited by

The aim of this study is to explore the effects of continuous theta-burst transcranial magnetic stimulation (cTBS) on functional brain network in emotion processing. Before and after the intervention of cTBS over left dorsolateral prefrontal cortex (DLPFC) of ten participants who were asked to perform the emotion gender recognition task, we recorded their scalp electroencephalograms (EEG). Then we used the phase synchronization of EEG to measure the connectivity between two nodes. We then calculated the network efficiency to describe the efficiency of information transmission in brain regions. Our research showed that after the intervention of cTBS and the stimulation of the emotion face picture, there was an obvious enhancement in the event-related spectral perturbation after stimuli onset in beta band in 100–300 ms. Under the stimulation of different emotion picture, the values of global phase synchronization for negative and neutral stimuli were enhanced compared to positive ones. And the increased small-worldness was found in emotional processing. In summary, based on the effect of activity change in the left DLPFC on emotion processing brain network, the emotional processing mechanism of brain networks were preliminary explored and it provided the reference for the research of emotion processing brain network in the future.

Citation： LI Qi, CAO Dan, LI Yingjie, TANG Yingying. Research on the effects of the continuous theta-burst transcranial magnetic stimuli on brain network in emotional processing. Journal of Biomedical Engineering, 2017, 34(4): 518-528. doi: 10.7507/1001-5515.201606048 Copy

1.	Ledoux J E. Emotion circuits in the brain. The Science of Mental Health: Fear and anxiety, 2001: 259.
2.	Fales C L, Barch D M, Rundle M M, et al. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol Psychiatry, 2008, 63(4): 377-384.
3.	Jeurissen D, Sack A T, Roebroeck A, et al. TMS affects moral judgment, showing the role of DLPFC and TPJ in cognitive and emotional processing. Front Neurosci, 2014, 8: 18.
4.	Northoff G, Heinzel A, Bermpohl F, et al. Reciprocal modulation and attenuation in the prefrontal cortex: an fMRI study on emotional-cognitive interaction. Hum Brain Mapp, 2004, 21(3): 202-212.
5.	Grimm S, Schmidt C F, Bermpohl F, et al. Segregated neural representation of distinct emotion dimensions in the prefrontal cortex-an fMRI study. Neuroimage, 2006, 30(1): 325-340.
6.	Grimm S, Beck J, Schuepbach D, et al. Imbalance between left and right dorsolateral prefrontal cortex in major depression is linked to negative emotional judgment: an fMRI study in severe major depressive disorder. Biol Psychiatry, 2008, 63(4): 369-376.
7.	Kerestes R, Bhagwagar Z, Nathan P J, et al. Prefrontal cortical response to emotional faces in individuals with major depressive disorder in remission. Psychiatry Res, 2012, 202(1): 30-37.
8.	Salzman C D, Fusi S. Emotion, cognition, and mental state representation in amygdala and prefrontal cortex. Annu Rev Neurosci, 2010, 33: 173-202.
9.	Koelsch S, Skouras S. Functional centrality of amygdala, striatum and hypothalamus in a " small-world” network underlying joy: an fMRI study with music. Hum Brain Mapp, 2014, 35(7): 3485-3498.
10.	Zhang Junran, Wang Jinhui, Wu Qizhu, et al. Disrupted brain connectivity networks in Drug-Naive, First-Episode major depressive disorder. Biol Psychiatry, 2011, 70(4): 334-342.
11.	Lee Youyun, Hsieh S. Classifying different emotional states by means of EEG-based functional connectivity patterns. PLoS One, 2014, 9(4): e95415.
12.	Martini N, Menicucci D, Sebastiani L, et al. The dynamics of EEG gamma responses to unpleasant visual stimuli: from local activity to functional connectivity. Neuroimage, 2012, 60(2): 922-932.
13.	Li Yingjie, Cao Dan, Wei Ling, et al. Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing. Clin Neurophysiol, 2015, 126(11): 2078-2089.
14.	Bortoletto M, Veniero D, Thut G, et al. The contribution of TMS-EEG coregistration in the exploration of the human cortical connectome. Neurosci Biobehav Rev, 2015, 49: 114-124.
15.	Miniussi C, Bortoletto M, Thut G, et al. Accessing cortical connectivity using TMS: EEG co-registration. Springer Berlin Heidelberg, 2012: 93-110.
16.	Huang Y Z, Edwards M J, Rounis E, et al. Theta burst stimulation of the human motor cortex. Neuron, 2005, 45(2): 201-206.
17.	Brunner C, Scherer R, Graimann B, et al. Online control of a brain-computer interface using phase synchronization. IEEE Trans Biomed Eng, 2006, 53(12 Pt 1): 2501-2506.
18.	Pineda J A. The functional significance of mu rhythms: translating " seeing” and " hearing” into " doing”. Brain Res Brain Res Rev, 2005, 50(1): 57-68.
19.	孙俊峰;洪祥飞;童善保. 复杂脑网络研究进展——结构、功能、计算与应用. 复杂系统与复杂性科学, 2010, 7(4): 74-90.
20.	Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. Public Library of Science, 2007.
21.	赵丽娜, 王保强, 尧德中. 基于信号处理的脑电相位同步性分析方法研究. 生物医学工程学杂志, 2008, 25(2): 250-254.
22.	Varela B F, Lachaux J P, Rodriguez E, et al. The brainweb: phase sychronization and large-scale integration. Nat Rev Neurosci, 2001, 2(4): 229-239.
23.	Phillips M L, Ladouceur C D, Drevets W C. A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry, 2008, 13(9): 829, 833-57.
24.	Stam C J, Jones B F, Nolte G, et al. Small-world networks and functional connectivity in Alzheimer’s disease. Cereb Cortex, 2007, 17(1): 92-99.
25.	Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput Biol, 2007, 3(2): e17.
26.	Buzsáki G, Geisler C, Henze D A, et al. Interneuron diversity series: circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci, 2004, 27(4): 186-193.
27.	Suppa A, Ortu E, Zafar N, et al. Theta burst stimulation induces after-effects on contralateral primary motor cortex excitability in humans. J Physiol, 2008, 586(18): 4489-4500.
28.	Poreisz C, Paulus W, Moser T, et al. Does a single session of theta-burst transcranial magnetic stimulation of inferior temporal cortex affect tinnitus perception? BMC Neurosci, 2009, 10(1): 54.

1. Ledoux J E. Emotion circuits in the brain. The Science of Mental Health: Fear and anxiety, 2001: 259.
2. Fales C L, Barch D M, Rundle M M, et al. Altered emotional interference processing in affective and cognitive-control brain circuitry in major depression. Biol Psychiatry, 2008, 63(4): 377-384.
3. Jeurissen D, Sack A T, Roebroeck A, et al. TMS affects moral judgment, showing the role of DLPFC and TPJ in cognitive and emotional processing. Front Neurosci, 2014, 8: 18.
4. Northoff G, Heinzel A, Bermpohl F, et al. Reciprocal modulation and attenuation in the prefrontal cortex: an fMRI study on emotional-cognitive interaction. Hum Brain Mapp, 2004, 21(3): 202-212.
5. Grimm S, Schmidt C F, Bermpohl F, et al. Segregated neural representation of distinct emotion dimensions in the prefrontal cortex-an fMRI study. Neuroimage, 2006, 30(1): 325-340.
6. Grimm S, Beck J, Schuepbach D, et al. Imbalance between left and right dorsolateral prefrontal cortex in major depression is linked to negative emotional judgment: an fMRI study in severe major depressive disorder. Biol Psychiatry, 2008, 63(4): 369-376.
7. Kerestes R, Bhagwagar Z, Nathan P J, et al. Prefrontal cortical response to emotional faces in individuals with major depressive disorder in remission. Psychiatry Res, 2012, 202(1): 30-37.
8. Salzman C D, Fusi S. Emotion, cognition, and mental state representation in amygdala and prefrontal cortex. Annu Rev Neurosci, 2010, 33: 173-202.
9. Koelsch S, Skouras S. Functional centrality of amygdala, striatum and hypothalamus in a " small-world” network underlying joy: an fMRI study with music. Hum Brain Mapp, 2014, 35(7): 3485-3498.
10. Zhang Junran, Wang Jinhui, Wu Qizhu, et al. Disrupted brain connectivity networks in Drug-Naive, First-Episode major depressive disorder. Biol Psychiatry, 2011, 70(4): 334-342.
11. Lee Youyun, Hsieh S. Classifying different emotional states by means of EEG-based functional connectivity patterns. PLoS One, 2014, 9(4): e95415.
12. Martini N, Menicucci D, Sebastiani L, et al. The dynamics of EEG gamma responses to unpleasant visual stimuli: from local activity to functional connectivity. Neuroimage, 2012, 60(2): 922-932.
13. Li Yingjie, Cao Dan, Wei Ling, et al. Abnormal functional connectivity of EEG gamma band in patients with depression during emotional face processing. Clin Neurophysiol, 2015, 126(11): 2078-2089.
14. Bortoletto M, Veniero D, Thut G, et al. The contribution of TMS-EEG coregistration in the exploration of the human cortical connectome. Neurosci Biobehav Rev, 2015, 49: 114-124.
15. Miniussi C, Bortoletto M, Thut G, et al. Accessing cortical connectivity using TMS: EEG co-registration. Springer Berlin Heidelberg, 2012: 93-110.
16. Huang Y Z, Edwards M J, Rounis E, et al. Theta burst stimulation of the human motor cortex. Neuron, 2005, 45(2): 201-206.
17. Brunner C, Scherer R, Graimann B, et al. Online control of a brain-computer interface using phase synchronization. IEEE Trans Biomed Eng, 2006, 53(12 Pt 1): 2501-2506.
18. Pineda J A. The functional significance of mu rhythms: translating " seeing” and " hearing” into " doing”. Brain Res Brain Res Rev, 2005, 50(1): 57-68.
19. 孙俊峰;洪祥飞;童善保. 复杂脑网络研究进展——结构、功能、计算与应用. 复杂系统与复杂性科学, 2010, 7(4): 74-90.
20. Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. Public Library of Science, 2007.
21. 赵丽娜, 王保强, 尧德中. 基于信号处理的脑电相位同步性分析方法研究. 生物医学工程学杂志, 2008, 25(2): 250-254.
22. Varela B F, Lachaux J P, Rodriguez E, et al. The brainweb: phase sychronization and large-scale integration. Nat Rev Neurosci, 2001, 2(4): 229-239.
23. Phillips M L, Ladouceur C D, Drevets W C. A neural model of voluntary and automatic emotion regulation: implications for understanding the pathophysiology and neurodevelopment of bipolar disorder. Mol Psychiatry, 2008, 13(9): 829, 833-57.
24. Stam C J, Jones B F, Nolte G, et al. Small-world networks and functional connectivity in Alzheimer’s disease. Cereb Cortex, 2007, 17(1): 92-99.
25. Achard S, Bullmore E. Efficiency and cost of economical brain functional networks. PLoS Comput Biol, 2007, 3(2): e17.
26. Buzsáki G, Geisler C, Henze D A, et al. Interneuron diversity series: circuit complexity and axon wiring economy of cortical interneurons. Trends Neurosci, 2004, 27(4): 186-193.
27. Suppa A, Ortu E, Zafar N, et al. Theta burst stimulation induces after-effects on contralateral primary motor cortex excitability in humans. J Physiol, 2008, 586(18): 4489-4500.
28. Poreisz C, Paulus W, Moser T, et al. Does a single session of theta-burst transcranial magnetic stimulation of inferior temporal cortex affect tinnitus perception? BMC Neurosci, 2009, 10(1): 54.

Journal of Biomedical Engineering

Research on the effects of the continuous theta-burst transcranial magnetic stimuli on brain network in emotional processing

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