Prospective study on resting state functional connectivity in adolescents with major depressive disorder after antidepressant treatment

被引:0
|
作者
Chi, Suhyuk [1 ]
Ko, Minsoo [1 ]
Lee, Moon-soo [1 ]
机构
[1] Korea Univ, Guro Hosp, Dept Psychiat, Seoul, South Korea
关键词
D O I
暂无
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
EP-1052
引用
收藏
页数:1
相关论文
共 50 条
  • [21] Resting-state dynamic functional connectivity in major depressive disorder: A systematic review
    Sun, Shuting
    Yan, Chang
    Qu, Shanshan
    Luo, Gang
    Liu, Xuesong
    Tian, Fuze
    Dong, Qunxi
    Li, Xiaowei
    Hu, Bin
    PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY, 2024, 135
  • [22] Alterations in electroencephalographic functional connectivity in individuals with major depressive disorder: a resting-state electroencephalogram study
    Wang, Yingtan
    Chen, Yu
    Cui, Yi
    Zhao, Tong
    Wang, Bin
    Zheng, Yunxi
    Ren, Yanping
    Sha, Sha
    Yan, Yuxiang
    Zhao, Xixi
    Zhang, Ling
    Wang, Gang
    FRONTIERS IN NEUROSCIENCE, 2024, 18
  • [23] Resting-state functional connectivity of the amygdala in suicide attempters with major depressive disorder
    Kang, Seung-Gul
    Na, Kyoung-Sae
    Choi, Jae-Won
    Kim, Jeong-Hee
    Son, Young-Don
    Lee, Yu Jin
    PROGRESS IN NEURO-PSYCHOPHARMACOLOGY & BIOLOGICAL PSYCHIATRY, 2017, 77 : 222 - 227
  • [24] Resting-state functional connectivity of the amygdala in major depressive disorder with suicidal ideation
    Li, Weicheng
    Wang, Chengyu
    Lan, Xiaofeng
    Fu, Ling
    Zhang, Fan
    Ye, Yanxiang
    Liu, Haiyan
    Zhou, Yanling
    Ning, Yuping
    JOURNAL OF PSYCHIATRIC RESEARCH, 2022, 153 : 189 - 196
  • [25] Contribution of resting-state functional connectivity of the subgenual anterior cingulate to prediction of antidepressant efficacy in patients with major depressive disorder
    Wang, Yun
    Wang, Changshuo
    Zhou, Jingjing
    Chen, Xiongying
    Liu, Rui
    Zhang, Zhifang
    Feng, Yuan
    Feng, Lei
    Liu, Jing
    Zhou, Yuan
    Wang, Gang
    TRANSLATIONAL PSYCHIATRY, 2024, 14 (01):
  • [26] Disruption of resting-state functional connectivity of right posterior insula in adolescents and young adults with major depressive disorder
    Hu Lan
    Xiao Muni
    Ai Ming
    Wang Wo
    Chen Jianmei
    Tan Zhaojun
    Cao Jun
    Kuang Li
    JOURNAL OF AFFECTIVE DISORDERS, 2019, 257 : 23 - 30
  • [27] The implication of functional connectivity strength in predicting treatment response of major depressive disorder: A resting EEG study
    Lee, Tien-Wen
    Wu, Yu-Te
    Yu, Younger W. -Y.
    Chen, Ming-Chao
    Chen, Tai-Jui
    PSYCHIATRY RESEARCH-NEUROIMAGING, 2011, 194 (03) : 372 - 377
  • [28] Resting-State Quantitative Electroencephalography Demonstrates Differential Connectivity in Adolescents with Major Depressive Disorder
    McVoy, Molly
    Aebi, Michelle E.
    Loparo, Kenneth
    Lytle, Sarah
    Morris, Alla
    Woods, Nicole
    Deyling, Elizabeth
    Tatsuoka, Curtis
    Kaffashi, Farhad
    Lhatoo, Samden
    Sajatovic, Martha
    JOURNAL OF CHILD AND ADOLESCENT PSYCHOPHARMACOLOGY, 2019, 29 (05) : 370 - 377
  • [29] Resting State Quantitative Electroencephalography (qEEG) Demonstrates Differential Connectivity in Adolescents With Major Depressive Disorder
    Mcvoy, Molly
    Lytle, Sarah
    Aebi, Michelle
    Elizabeth, Deyling
    Samden, Lhatoo
    Loparo, Kenneth
    Kaffashi, Farhad
    Woods, Nicole
    Sajatovic, Martha
    NEUROPSYCHOPHARMACOLOGY, 2018, 43 : S304 - S304
  • [30] Resting-state functional connectivity of the raphe nuclei in major depressive Disorder: A Multi-site study
    Zhang, Yajuan
    Huang, Chu-Chung
    Zhao, Jiajia
    Liu, Yuchen
    Xia, Mingrui
    Wang, Xiaoqin
    Wei, Dongtao
    Chen, Yuan
    Liu, Bangshan
    Zheng, Yanting
    Wu, Yankun
    Chen, Taolin
    Cheng, Yuqi
    Xu, Xiufeng
    Gong, Qiyong
    Si, Tianmei
    Qiu, Shijun
    Cheng, Jingliang
    Tang, Yanqing
    Wang, Fei
    Qiu, Jiang
    Xie, Peng
    Li, Lingjiang
    He, Yong
    Lin, Ching-Po
    Lo, Chun-Yi Zac
    NEUROIMAGE-CLINICAL, 2023, 37