Hyperconnectivity and altered interactions of a nucleus accumbens network in post-stroke depression

被引:4
|
作者
Oestreich, Lena K. L. [1 ,2 ]
Wright, Paul [3 ]
O'Sullivan, Michael J. [1 ,3 ,4 ,5 ]
机构
[1] Univ Queensland, UQ Ctr Clin Res, Brisbane, Qld 4072, Australia
[2] Univ Queensland, Ctr Adv Imaging, Brisbane, Qld 4072, Australia
[3] Kings Coll London, Biomed Engn Dept, London, England
[4] Royal Brisbane & Womens Hosp, Dept Neurol, Brisbane, Qld 4072, Australia
[5] Univ Queensland, Inst Mol Biosci, Brisbane, Qld 4072, Australia
基金
英国医学研究理事会; 欧盟地平线“2020”;
关键词
resting-state functional MRI; diffusion MRI; post-stroke depression; stroke; default mode network (DMN); FUNCTIONAL CONNECTIVITY; DEFAULT-MODE; GERIATRIC DEPRESSION; REWARD; BRAIN; TRACTOGRAPHY; RELIABILITY; DYSFUNCTION; DISORDERS; DYNAMICS;
D O I
10.1093/braincomms/fcac281
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Post-stroke depression is a common complication of stroke. To date, no consistent locus of injury is associated with this complication. Here, we probed network dynamics and structural alterations in post-stroke depression in four functional circuits linked to major depressive disorder and a visual network, which served as a control network. Forty-four participants with recent stroke (mean age = 69.03, standard deviation age = 8.59, age range =51-86 and gender: female =10) and 16 healthy volunteers (mean age = 71.53, standard deviation age =10.62, age range =51-84 and gender: female =11) were imaged with 3-Tesla structural, diffusion and resting-state functional MRI. The Geriatric Depression Scale was administered to measure depression severity. Associations between depression severity and functional connectivity were investigated within networks seeded from nucleus accumbens, amygdala, dorsolateral prefrontal cortex and primary visual cortex. In addition, the default mode network was identified by connectivity with medial prefrontal cortex and posterior cingulate cortex. Circuits that exhibited altered activity associated with depression severity were further investigated by extracting within-network volumetric and microstructural measures from structural images. In the stroke group, functional connectivity within the nucleus accumbens-seeded network (left hemisphere: P = 0.001; and right hemisphere: P = 0.004) and default mode network (cluster one: P < 0.001; and cluster two: P < 0.001) correlated positively with depressive symptoms. Normal anticorrelations between these two networks were absent in patients with post-stroke depression. Grey matter volume of the right posterior cingulate cortex (Pearson correlation coefficient = -0.286, P = 0.03), as well as microstructural measures in the posterior cingulate cortex (right: Pearson correlation coefficient = 0.4, P = 0.024; and left: Pearson correlation coefficient = 0.3, P= 0.048), right medial prefrontal cortex (Pearson correlation coefficient= 0.312, P = 0.039) and the medial forebrain bundle (Pearson correlation coefficient = 0.450, P = 0.003), a major projection pathway interconnecting the nucleus accumbens-seeded network and linking to medial prefrontal cortex, were associated with depression severity. Depression after stroke is marked by reduced mutual inhibition between functional circuits involving nucleus accumbens and default mode network as well as volumetric and microstructural changes within these networks. Aberrant network dynamics present in patients with post-stroke depression are therefore likely to be influenced by secondary, pervasive alterations in grey and white matter, remote from the site of injury.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Altered Topology of the Structural Brain Network in Patients With Post-stroke Depression
    Xu, Xiaopei
    Tang, Rui
    Zhang, Luping
    Cao, Zhijian
    FRONTIERS IN NEUROSCIENCE, 2019, 13
  • [2] Post-stroke depression and post-stroke dementia
    Erkinjuntti, T
    Pohjasvaara, T
    Vataja, R
    INTERNATIONAL PSYCHOGERIATRICS, 2005, 17 : 51 - 51
  • [3] Implication of Caudate nucleus lacunar infarcts in post-stroke depression
    Riahi, A.
    Derbali, H.
    Bedoui, I.
    Messelmani, M.
    Mansour, M.
    Zaouali, J.
    Mrissa, R.
    EUROPEAN JOURNAL OF NEUROLOGY, 2016, 23 : 756 - 756
  • [4] Post-stroke depression
    Herrmann, Nathan
    BRAIN AND COGNITION, 2007, 63 (02) : 195 - 195
  • [5] Post-stroke depression
    Levada, O. A.
    Slivko, E. I.
    ZHURNAL NEVROLOGII I PSIKHIATRII IMENI S S KORSAKOVA, 2006, : 73 - 79
  • [6] Post-stroke depression
    Lenzi, G. L.
    Altieri, M.
    Maestrini, I.
    REVUE NEUROLOGIQUE, 2008, 164 (10) : 837 - 840
  • [7] Post-stroke depression
    Laux, G.
    JOURNAL OF NEURAL TRANSMISSION, 2007, 114 (07) : CIII - CIII
  • [8] POST-STROKE DEPRESSION
    Elwan, Mohamed Ezzat
    EUROPEAN JOURNAL OF NEUROLOGY, 2015, 22 : 896 - 896
  • [9] Post-stroke depression
    Wysokinski, Adam
    PSYCHIATRIA I PSYCHOLOGIA KLINICZNA-JOURNAL OF PSYCHIATRY AND CLINICAL PSYCHOLOGY, 2016, 16 (03): : 171 - 175
  • [10] Post-stroke depression
    Schulte-Altedorneburg Monika
    Bereczki Daniel
    ORVOSI HETILAP, 2014, 155 (34) : 1335 - 1343