Myelination of the brain in Major Depressive Disorder: An in vivo quantitative magnetic resonance imaging study

被引:0
|
作者
Matthew D. Sacchet
Ian H. Gotlib
机构
[1] Department of Psychiatry and Behavioral Sciences,
[2] Department of Psychology,undefined
[3] Stanford University,undefined
[4] Neurosciences Program,undefined
[5] Stanford University,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Evidence from post-mortem, genetic, neuroimaging, and non-human animal research suggests that Major Depressive Disorder (MDD) is associated with abnormalities in brain myelin content. Brain regions implicated in this research, and in MDD more generally, include the nucleus accumbens (NAcc), lateral prefrontal cortex (LPFC), insula, subgenual anterior cingulate cortex (sgACC), and medial prefrontal cortex (mPFC). We examined whether MDD is characterized by reduced myelin at the whole-brain level and in NAcc, LPFC, insula, sgACC, and mPFC. Quantitative magnetic resonance imaging (qMRI) permits the assessment of myelin content, in vivo, in the human brain through the measure of R1. In this study we used qMRI to measure R1 in 40 MDD and 40 healthy control (CTL) participants. We found that the MDD participants had lower levels of myelin than did the CTL participants at the whole-brain level and in the NAcc, and that myelin in the LPFC was reduced in MDD participants who had experienced a greater number of depressive episodes. Although further research is needed to elucidate the role of myelin in affecting emotional, cognitive, behavioral, and clinical aspects of MDD, the current study provides important new evidence that a fundamental property of brain composition, myelin, is altered in this disorder.
引用
收藏
相关论文
共 50 条
  • [41] Quantitative brain magnetic resonance imaging in attention-deficit hyperactivity disorder
    Castellanos, FX
    Giedd, JN
    Marsh, WL
    Hamburger, SD
    Vaituzis, AC
    Dickstein, DP
    Sarfatti, SE
    Vauss, YC
    Snell, JW
    Lange, N
    Kaysen, D
    Krain, AL
    Ritchie, GF
    Rajapakse, JC
    Rapoport, JL
    [J]. ARCHIVES OF GENERAL PSYCHIATRY, 1996, 53 (07) : 607 - 616
  • [42] Quantitative review of the efficacy of slow-frequency magnetic brain stimulation in major depressive disorder
    Schutter, D. J. L. G.
    [J]. PSYCHOLOGICAL MEDICINE, 2010, 40 (11) : 1789 - 1795
  • [43] Major Depressive Disorder in Youth: A Meta-Analysis of Functional Magnetic Resonance Imaging Studies
    Zamora, G.
    Baten, C.
    Klassen, A. M.
    Shepherd, J. H.
    Pritchard, E.
    Saravia, S.
    Ali, Z.
    Jordan, J.
    Kahlon, S. K.
    Maly, G.
    Duran, M.
    Santos, S. L.
    Nimarko, A. F.
    Hedges, D. W.
    Hamilton, J. P.
    Gotlib, I. H.
    Sacchet, M. D.
    Miller, C. H.
    [J]. EUROPEAN PSYCHIATRY, 2023, 66 : S219 - S220
  • [44] Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies
    J P Hamilton
    M Siemer
    I H Gotlib
    [J]. Molecular Psychiatry, 2008, 13 : 993 - 1000
  • [45] Major Depressive Disorder in Youth: A Meta-Analysis of Functional Magnetic Resonance Imaging Studies
    Zamora, G.
    Baten, C.
    Klassen, A. M.
    Shepherd, J. H.
    Pritchard, E.
    Saravia, S.
    Ali, Z.
    Jordan, J.
    Kahlon, S. K.
    Maly, G.
    Duran, M.
    Santos, S. L.
    Nimarko, A. F.
    Hedges, D. W.
    Hamilton, J. P.
    Gotlib, I. H.
    Sacchet, M. D.
    Miller, C. H.
    [J]. EUROPEAN PSYCHIATRY, 2023, 66 : S219 - S220
  • [46] Amygdala volume in major depressive disorder: a meta-analysis of magnetic resonance imaging studies
    Hamilton, J. P.
    Siemer, M.
    Gotlib, I. H.
    [J]. MOLECULAR PSYCHIATRY, 2008, 13 (11) : 993 - 1000
  • [48] The impacts of anhedonia on brain functional alterations in patients with major depressive disorder: A resting-state functional magnetic resonance imaging study of regional homogeneity
    Fang, Zhe
    Mu, Qingli
    Wu, Congchong
    Jia, Lili
    Wang, Zheng
    Hu, Shaohua
    Xu, Yi
    Huang, Manli
    Lu, Shaojia
    [J]. JOURNAL OF PSYCHIATRIC RESEARCH, 2022, 156 : 84 - 90
  • [50] Feasibility of studying brain morphology in major depressive disorder with structural magnetic resonance imaging and clinical data from the electronic medical record: A pilot study
    Hoogenboom, Wouter S.
    Perlis, Roy H.
    Smoller, Jordan W.
    Zeng-Treitler, Qing
    Gainer, Vivian S.
    Murphy, Shawn N.
    Churchill, Susanne E.
    Kohane, Isaac S.
    Shenton, Martha E.
    Iosifescu, Dan V.
    [J]. PSYCHIATRY RESEARCH-NEUROIMAGING, 2013, 211 (03) : 202 - 213