Specificity study of visualization analysis of electroencephalogram diagnosis of depression based on CiteSpace_Journal of Biomedical Engineering

Authors：

ZHANG Jiaming ¹ , LIU Danyang ¹ , ZHONG Dongling ¹ , LI Yuxi ² , JIN Rongjiang ¹ ,  ZHENG Zhong ³ ,  LI Juan ¹

1. Institution of Health and Rehabilitation, Chengdu University of TCM, Chengdu 610075, P.R.China;
2. Institution of Acumox and Tuina, Chengdu University of TCM, Chengdu 610075, P.R.China;
3. Center for Neurobiological Detection, West China Hospital of Sichuan University, Chengdu 610041, P.R.China;

Corresponding author：

ZHENG Zhong, Email: zheng-zhong1963@163.com; LI Juan, Email: 785939016@qq.com

Keywords：

electroencephalogram; depressive disorder; CiteSpace; visual analysis

DOI：

10.7507/1001-5515.202101058

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This paper analyzed literatures on the specificity study of electroencephalogram (EEG) in the diagnosis of depression since 2010 to 2020, summarized the recent research directions in this field and prospected the future research hotspots at home and abroad. Based on databases of China National Knowledge Infrastructure (CNKI) and the core collection of Web of Science (WOS), CiteSpace software was used to analyze the relevant literatures in this research field. The number of relevant literatures, countries, authors, research institutions, key words, cited literatures and periodicals related to this research were analyzed, respectively, to explore research hotspots and development trends in this field. A total of 2 155 articles were included in the WOS database. The most published institution was the University of Toronto, the most published country was the United States, China occupied the third place, and the hot keywords were anxiety, disorder, brain and so on. A total of 529 literatures were included and analyzed in CNKI database. The institution with the most publications was the Mental Health Center of West China Hospital of Sichuan University, and the hot keywords were EEG signal, event-related potential, convolutional neural network, schizophrenia, etc. This study finds that EEG study of depression is developing rapidly at home and abroad. Research directions in the world mainly focus on exploring the characteristics of spontaneous EEG rhythm and nonlinear dynamic parameters during sleep in depressed patients. In addition, synchronous transcranial magnetic stimulation (TMS) and EEG technologies also attract much attention abroad, and the future research hotspot will be on the mechanism of EEG on patients with major depression. Domestic research directions mainly focus on the classification of resting EEG and the control study of resting EEG power spectrum entropy in patients with schizophrenia and depression, and future research hotspot is the basic and clinical EEG study of depressed patients complicated with anxiety.

Citation： ZHANG Jiaming, LIU Danyang, ZHONG Dongling, LI Yuxi, JIN Rongjiang, ZHENG Zhong, LI Juan. Specificity study of visualization analysis of electroencephalogram diagnosis of depression based on CiteSpace. Journal of Biomedical Engineering, 2021, 38(5): 919-931. doi: 10.7507/1001-5515.202101058 Copy

1.	王丽群, 李雨谿, 金荣疆, 等. 功能性近红外光谱在抑郁症研究中的应用. 中国组织工程研究, 2021, 25(11): 1799-1804.
2.	安文军, 李金花, 王和平. 儿童青少年抑郁症的脑电及影像学研究进展. 中国康复理论与实践, 2019, 25(3): 314-318.
3.	刘运珠, 刘布谷, 罗有年, 等. 温针灸夹脊穴治疗抑郁症患者30例疗效观察及对其脑电α波的影响. 中医杂志, 2008, 49(11): 995-997.
4.	Meyer M, Patrick N, Angelina G, et al. EEG oscillatory power dissociates between distress- and depression-related psychopathology in subjective tinnitus. Brain Res, 2017, 1663: 194-204.
5.	Grünewald B D, Ellen G, Monika T, et al. Resting frontal EEG asymmetry patterns in adolescents with and without major depression. Biol Psychol, 2018, 132: 212-216.
6.	陈悦, 陈超美, 刘则渊, 等. CiteSpace知识图谱的方法论功能. 科学学研究, 2015, 33(2): 242-253.
7.	石晶晶, 薄荣强, 胡元会, 等. 基于Citespace的中医导引术相关研究的可视化分析. 中国医药导报, 2018, 15(4): 94-98.
8.	陈思宇, 曾婧纯, 琨刘, 等. 基于CiteSpace的针灸治疗带状疱疹的研究图谱分析六. 世界科学技术-中医药现代化, 2020, 22(8): 2695-2701.
9.	贾秋蕾, 师帅, 胡元会, 等. 基于CiteSpace的参附注射液相关研究分析. 中国循证心血管医学杂志, 2020, 12(10): 1171-1175.
10.	王艳, 夏国光, 程洋, 等. 基于CiteSpace的新型冠状病毒肺炎治疗研究现状及热点的可视化分析. 中国医院用药评价与分析, 2020, 20(8): 897-901.
11.	惠文, 吴川杰, 赵文博, 等. 近十年急性缺血性卒中血管再通治疗的研究现状: 基于CiteSpace的科学计量学分析. 中国脑血管病杂志, 2019, 16(7): 353-361.
12.	李绍烁, 顾一丹, 邵阳, 等. CiteSpace知识图谱可视化分析中医药防治绝经后骨质疏松症. 中国组织工程研究, 2020, 24(26): 4224-4230.
13.	廖雅娴, 何本祥, 王纯, 等. 采用CiteSpace软件对肌腱病研究领域值得关注问题的可视化分析. 中国组织工程研究, 2019, 23(23): 3746-3753.
14.	蔡庆鸣, 杨蕾. 基于CiteSpace文献可视化下中国文化竞争力研究述评. 教育教学论坛, 2020(53): 53-55.
15.	戴圣婷, 杨剑, 邱卓英, 等. 中国ICF的研究与发展——基于CiteSpace Ⅲ文献分析. 中国康复理论与实践, 2017, 23(10): 1137-1144.
16.	程梅, 朱瑞芳, 韩世范. 中美护理教育研究热点的可视化对比分析. 全科护理, 2017, 15(14): 1669-1673.
17.	Stewart J L, Bismark A W, Towers D N, et al. Resting frontal EEG asymmetry as an endophenotype for depression risk: Sex-specific patterns of frontal brain asymmetry. J Abnorm Psychol, 2010, 119(3): 502-512.
18.	Olbrich S, Arns M. EEG biomarkers in major depressive disorder: Discriminative power and prediction of treatment response. Int Rev Psychiatry, 2013, 25(5): 604-618.
19.	Thibodeau R, Jorgensen R S, Kim S. Depression, anxiety, and resting frontal EEG asymmetry: A meta-analytic review. J Abnorm Psychol, 2006, 115(4): 715-729.
20.	Leuchter A F, Cook I A, Hunter A M, et al. Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression. PloS One, 2012, 7(2): e32508.
21.	Yovell Y, Sackeim H A, Epstein D G, et al. Hearing loss and asymmetry in major depression. J Neuropsychiatry Clin Neurosci, 2008, 7(1): 82-89.
22.	Tenke C E, Kayser J, Manna C G, et al. Current source density measures of electroencephalographic alpha predict antidepressant treatment response. Biol Psychiat, 2011, 70(4): 388-394.
23.	Pechtel P, Pizzagalli D A. Effects of early life stress on cognitive and affective function: an integrated review of human literature. Psychopharmacology (Berl), 2011, 214(1): 55-70.
24.	Kemp A H, Griffiths K, Felmingham K L, et al. Disorder specificity despite comorbidity: resting EEG alpha asymmetry in major depressive disorder and post-traumatic stress disorder. Biol Psychol, 2010, 85(2): 350-354.
25.	Tremblay S, Rogasch N C, Daskalakis Z J, et al. Clinical utility and prospective of TMS-EEG. Clin Neurophysiol, 2019, 130(5): 802-844.
26.	Hui J, Tremblay S, Daskalakis Z J. The current and future potential of transcranial magnetic stimulation with electroencephalography in psychiatry. Clin Pharmacol Ther, 2019, 106(4): 734-746.
27.	Hajcak G, Klawohn J, Meyer A. The utility of event-related potentials in clinical psychology. Annu Rev Clin Psychol, 2019, 15(1): 71-95.
28.	Levinson A R, Speed B C, Infantolino Z P, et al. Reliability of the electrocortical response to gains and losses in the doors task. Psychophysiology, 2017, 54(4): 601-607.
29.	朱维煜, 王石, 刘屏. 脑电潮汐涨落图技术在多种精神疾病中的应用及研究进展. 世界最新医学信息文摘, 2018, 18(62): 64-65.
30.	王卫平, 胡纪明, 朱建唯. 抑郁症与精神分裂症患者的脑电生理反应时间比较研究. 上海精神医学, 2009, 21(2): 96-98.
31.	蒋帅, 吴银侠, 王大刚, 等. 精神分裂症、神经症、抑郁症患者的脑电超慢涨落图分析. 山东医药, 2014, 54(20): 1-4.
32.	Asadi-Pooya A A, Sperling M R. Normal awake, drowsy, and sleep EEG patterns that might be overinterpreted as abnormal. J Clin Neurophysiol, 2019, 36(4): 250-256.
33.	Frauscher B, Gotman J. Sleep, oscillations, interictal discharges, and seizures in human focal epilepsy. Neurobiol Dis, 2019, 127: 545-553.
34.	Cirelli C, Tononi G. Cortical development, electroencephalogram rhythms, and the sleep/wake cycle. Biol Psychiat, 2015, 77(12): 1071-1078.
35.	Voineskos D, Blumberger D M, Zomorrodi R, et al. Altered transcranial magnetic stimulation-electroencephalographic markers of inhibition and excitation in the dorsolateral prefrontal cortex in major depressive disorder. Biol Psychiat, 2019, 85(6): 477-486.
36.	Gonzalez-Burgos G, Cho R Y, Lewis D A. Alterations in cortical network oscillations and parvalbumin neurons in schizophrenia. Biol Psychiat, 2015, 77(12): 1031-1040.

1. 王丽群, 李雨谿, 金荣疆, 等. 功能性近红外光谱在抑郁症研究中的应用. 中国组织工程研究, 2021, 25(11): 1799-1804.
2. 安文军, 李金花, 王和平. 儿童青少年抑郁症的脑电及影像学研究进展. 中国康复理论与实践, 2019, 25(3): 314-318.
3. 刘运珠, 刘布谷, 罗有年, 等. 温针灸夹脊穴治疗抑郁症患者30例疗效观察及对其脑电α波的影响. 中医杂志, 2008, 49(11): 995-997.
4. Meyer M, Patrick N, Angelina G, et al. EEG oscillatory power dissociates between distress- and depression-related psychopathology in subjective tinnitus. Brain Res, 2017, 1663: 194-204.
5. Grünewald B D, Ellen G, Monika T, et al. Resting frontal EEG asymmetry patterns in adolescents with and without major depression. Biol Psychol, 2018, 132: 212-216.
6. 陈悦, 陈超美, 刘则渊, 等. CiteSpace知识图谱的方法论功能. 科学学研究, 2015, 33(2): 242-253.
7. 石晶晶, 薄荣强, 胡元会, 等. 基于Citespace的中医导引术相关研究的可视化分析. 中国医药导报, 2018, 15(4): 94-98.
8. 陈思宇, 曾婧纯, 琨刘, 等. 基于CiteSpace的针灸治疗带状疱疹的研究图谱分析六. 世界科学技术-中医药现代化, 2020, 22(8): 2695-2701.
9. 贾秋蕾, 师帅, 胡元会, 等. 基于CiteSpace的参附注射液相关研究分析. 中国循证心血管医学杂志, 2020, 12(10): 1171-1175.
10. 王艳, 夏国光, 程洋, 等. 基于CiteSpace的新型冠状病毒肺炎治疗研究现状及热点的可视化分析. 中国医院用药评价与分析, 2020, 20(8): 897-901.
11. 惠文, 吴川杰, 赵文博, 等. 近十年急性缺血性卒中血管再通治疗的研究现状: 基于CiteSpace的科学计量学分析. 中国脑血管病杂志, 2019, 16(7): 353-361.
12. 李绍烁, 顾一丹, 邵阳, 等. CiteSpace知识图谱可视化分析中医药防治绝经后骨质疏松症. 中国组织工程研究, 2020, 24(26): 4224-4230.
13. 廖雅娴, 何本祥, 王纯, 等. 采用CiteSpace软件对肌腱病研究领域值得关注问题的可视化分析. 中国组织工程研究, 2019, 23(23): 3746-3753.
14. 蔡庆鸣, 杨蕾. 基于CiteSpace文献可视化下中国文化竞争力研究述评. 教育教学论坛, 2020(53): 53-55.
15. 戴圣婷, 杨剑, 邱卓英, 等. 中国ICF的研究与发展——基于CiteSpace Ⅲ文献分析. 中国康复理论与实践, 2017, 23(10): 1137-1144.
16. 程梅, 朱瑞芳, 韩世范. 中美护理教育研究热点的可视化对比分析. 全科护理, 2017, 15(14): 1669-1673.
17. Stewart J L, Bismark A W, Towers D N, et al. Resting frontal EEG asymmetry as an endophenotype for depression risk: Sex-specific patterns of frontal brain asymmetry. J Abnorm Psychol, 2010, 119(3): 502-512.
18. Olbrich S, Arns M. EEG biomarkers in major depressive disorder: Discriminative power and prediction of treatment response. Int Rev Psychiatry, 2013, 25(5): 604-618.
19. Thibodeau R, Jorgensen R S, Kim S. Depression, anxiety, and resting frontal EEG asymmetry: A meta-analytic review. J Abnorm Psychol, 2006, 115(4): 715-729.
20. Leuchter A F, Cook I A, Hunter A M, et al. Resting-state quantitative electroencephalography reveals increased neurophysiologic connectivity in depression. PloS One, 2012, 7(2): e32508.
21. Yovell Y, Sackeim H A, Epstein D G, et al. Hearing loss and asymmetry in major depression. J Neuropsychiatry Clin Neurosci, 2008, 7(1): 82-89.
22. Tenke C E, Kayser J, Manna C G, et al. Current source density measures of electroencephalographic alpha predict antidepressant treatment response. Biol Psychiat, 2011, 70(4): 388-394.
23. Pechtel P, Pizzagalli D A. Effects of early life stress on cognitive and affective function: an integrated review of human literature. Psychopharmacology (Berl), 2011, 214(1): 55-70.
24. Kemp A H, Griffiths K, Felmingham K L, et al. Disorder specificity despite comorbidity: resting EEG alpha asymmetry in major depressive disorder and post-traumatic stress disorder. Biol Psychol, 2010, 85(2): 350-354.
25. Tremblay S, Rogasch N C, Daskalakis Z J, et al. Clinical utility and prospective of TMS-EEG. Clin Neurophysiol, 2019, 130(5): 802-844.
26. Hui J, Tremblay S, Daskalakis Z J. The current and future potential of transcranial magnetic stimulation with electroencephalography in psychiatry. Clin Pharmacol Ther, 2019, 106(4): 734-746.
27. Hajcak G, Klawohn J, Meyer A. The utility of event-related potentials in clinical psychology. Annu Rev Clin Psychol, 2019, 15(1): 71-95.
28. Levinson A R, Speed B C, Infantolino Z P, et al. Reliability of the electrocortical response to gains and losses in the doors task. Psychophysiology, 2017, 54(4): 601-607.
29. 朱维煜, 王石, 刘屏. 脑电潮汐涨落图技术在多种精神疾病中的应用及研究进展. 世界最新医学信息文摘, 2018, 18(62): 64-65.
30. 王卫平, 胡纪明, 朱建唯. 抑郁症与精神分裂症患者的脑电生理反应时间比较研究. 上海精神医学, 2009, 21(2): 96-98.
31. 蒋帅, 吴银侠, 王大刚, 等. 精神分裂症、神经症、抑郁症患者的脑电超慢涨落图分析. 山东医药, 2014, 54(20): 1-4.
32. Asadi-Pooya A A, Sperling M R. Normal awake, drowsy, and sleep EEG patterns that might be overinterpreted as abnormal. J Clin Neurophysiol, 2019, 36(4): 250-256.
33. Frauscher B, Gotman J. Sleep, oscillations, interictal discharges, and seizures in human focal epilepsy. Neurobiol Dis, 2019, 127: 545-553.
34. Cirelli C, Tononi G. Cortical development, electroencephalogram rhythms, and the sleep/wake cycle. Biol Psychiat, 2015, 77(12): 1071-1078.
35. Voineskos D, Blumberger D M, Zomorrodi R, et al. Altered transcranial magnetic stimulation-electroencephalographic markers of inhibition and excitation in the dorsolateral prefrontal cortex in major depressive disorder. Biol Psychiat, 2019, 85(6): 477-486.
36. Gonzalez-Burgos G, Cho R Y, Lewis D A. Alterations in cortical network oscillations and parvalbumin neurons in schizophrenia. Biol Psychiat, 2015, 77(12): 1031-1040.

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Specificity study of visualization analysis of electroencephalogram diagnosis of depression based on CiteSpace

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