Altered spontaneous brain activity in major depressive disorder: An activation likelihood estimation meta-analysis

被引:20
|
作者
Yuan, Jixiang [1 ]
Yu, Hua [6 ,7 ]
Yu, Minglan [2 ]
Liang, Xuemei [1 ]
Huang, Chaohua [1 ]
He, Rongfang [1 ]
Lei, Wei [1 ]
Chen, Jing [1 ]
Chen, Jianning [3 ]
Tan, Youguo [4 ,5 ]
Liu, Kezhi [1 ]
Zhang, Tao [1 ]
Luo, Huairong [3 ]
Xiang, Bo [1 ,5 ,6 ,7 ,8 ]
机构
[1] Southwest Med Univ, Affiliated Hosp, Dept Psychiat, Lab Neurol Dis & Brain Funct, Luzhou, Sichuan, Peoples R China
[2] Southwest Med Univ, Affiliated Hosp, Med Lab Ctr, Luzhou, Sichuan, Peoples R China
[3] Southwest Med Univ, Sch Pharm, Luzhou, Sichuan, Peoples R China
[4] Zigong Mental Hlth Ctr, Mental Hlth Res Ctr, Zigong, Sichuan, Peoples R China
[5] Zigong Inst Brain Sci, Mental Hlth Res Ctr, Zigong, Sichuan, Peoples R China
[6] Sichuan Univ, West China Hosp, Mental Hlth Ctr, Chengdu, Sichuan, Peoples R China
[7] Sichuan Univ, Psychiat Lab, State Key Lab Biotherapy, Chengdu, Sichuan, Peoples R China
[8] Cent Nervous Syst Drug Key Lab Sichuan Prov, Luzhou, Sichuan, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
Major depressive disorder; Resting-state fMRI; Meta-analysis; Activation likelihood estimation; LOW-FREQUENCY FLUCTUATIONS; RESTING-STATE FMRI; DRUG-NAIVE PATIENTS; REGIONAL HOMOGENEITY; TREATMENT-RESISTANT; FRACTIONAL AMPLITUDE; GABA CONCENTRATIONS; FUNCTIONAL MRI; 1ST-EPISODE; CONNECTIVITY;
D O I
10.1016/j.jad.2022.06.014
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Background: Wide application of resting-state functional magnetic resonance imaging (fMRI) in psychiatric research has revealed that major depressive disorder (MDD) manifest abnormal neural activities in several brain regions involving key resting state networks. However, inconsistent results have hampered our understanding of the exact neuropathology associated with MDD. Therefore, our aim was to conduct a meta-analysis to identify the consistent vulnerable brain regions of MDD in resting state, and to reveal the potential pathogenesis of MDD. Methods: A systematic review analysis was conducted on studies involving brain resting-state changes in MDD using low-frequency amplitude (ALFF), fractional low-frequency amplitude (fALFF) and regional homogeneity (ReHo) analysis. The meta-analysis was based on the activation likelihood estimation method, using the software of Ginger ALE 2.3. Results: 25 studies (892 MDD and 799 healthy controls) were included. Based on the meta-analysis results of ReHo, we found robust reduction of resting-state spontaneous brain activity in MDD, including the left cuneus and right middle occipital gyrus (cluster size = 216, 256 mm(3), uncorrected P < 0.0001), while no increased spontaneous activation in any of the brain regions. We also found reduced ALFF in the left middle occipital gyrus (cluster size = 224 mm(3), uncorrected P < 0.0001), and no increased spontaneous brain activation in any regions. Conclusion: Our meta-analysis study using the activation likelihood estimation method demonstrated that MDD showed significant abnormalities in spontaneous neural activity, compared with healthy controls, mainly in areas associated with visual processing, such as the cuneus and the middle occipital gyrus. Dysfunction of these brain regions may be one of the pathogenesis of MDD.
引用
收藏
页码:19 / 26
页数:8
相关论文
共 50 条
  • [21] Altered brain glucose metabolism in COVID-19 disease: an activation likelihood estimation meta-analysis of PET studies
    Kang, Dongju
    Jung, Hyunji
    Pak, Kyoungjune
    BRAIN IMAGING AND BEHAVIOR, 2025,
  • [22] Alterations in Spontaneous Brain Activity in Drug-Na?ve First-Episode Schizophrenia: An Anatomical/Activation Likelihood Estimation Meta-Analysis
    Qiu, Xiaolei
    Zhang, Rongrong
    Wen, Lu
    Jiang, Fuli
    Mao, Hongjun
    Yan, Wei
    Xie, Shiping
    Pan, Xinming
    PSYCHIATRY INVESTIGATION, 2022, 19 (08) : 606 - +
  • [23] Theory of mind in major depressive disorder: A meta-analysis
    Bora, Emre
    Berk, Michael
    JOURNAL OF AFFECTIVE DISORDERS, 2016, 191 : 49 - 55
  • [24] Major depressive disorder in epilepsy clinics: A meta-analysis
    Kim, Minjung
    Kim, Young-Soo
    Kim, Do-Hyung
    Yang, Tae-Won
    Kwon, Oh-Young
    EPILEPSY & BEHAVIOR, 2018, 84 : 56 - 69
  • [25] Escitalopram in the treatment of major depressive disorder: A meta-analysis
    Kennedy, Sidney H.
    Andersen, Henning F.
    Thase, Michael E.
    CURRENT MEDICAL RESEARCH AND OPINION, 2009, 25 (01) : 161 - 175
  • [26] A meta-analysis of emotional reactivity in major depressive disorder
    Bylsma, Lauren M.
    Morris, Bethany H.
    Rottenberg, Jonathan
    CLINICAL PSYCHOLOGY REVIEW, 2008, 28 (04) : 676 - 691
  • [27] Rumination in major depressive and bipolar disorder - a meta-analysis
    Kovacs, Lilla Nora
    Takacs, Zsofia K.
    Toth, Zsofia
    Simon, Evelin
    Schmelowszky, Agoston
    Kokonyei, Gyongyi
    JOURNAL OF AFFECTIVE DISORDERS, 2020, 276 : 1131 - 1141
  • [28] Meta-analysis of genetic studies in major depressive disorder
    Cecile, A.
    Janssens, J. W.
    Leon, Sandra Lopez
    Ladd, Angela M. Gonzalez-Zuloeta
    Del-Favero, Jurgen
    Claes, Stephan
    Oostra, Ben A.
    AMERICAN JOURNAL OF MEDICAL GENETICS PART B-NEUROPSYCHIATRIC GENETICS, 2006, 141B (07) : 693 - 693
  • [29] BRAIN PH IS DECREASED IN PATIENTS WITH MAJOR DEPRESSIVE DISORDER: A META-ANALYSIS OF POSTMORTEM STUDIES
    Hagihara, Hideo
    Miyakawa, Tsuyoshi
    INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 2025, 28 : i329 - i329
  • [30] Mapping the depressed brain: A meta-analysis of structural and functional alterations in major depressive disorder
    Sacher, Julia
    Neumann, Jane
    Fuenfstueck, Tillmann
    Soliman, Alexandra
    Villringer, Arno
    Schroeter, Matthias L.
    JOURNAL OF AFFECTIVE DISORDERS, 2012, 140 (02) : 142 - 148