Share：
Share this content in WeChat
X
[Chinese][PDF]897140
• Clinical Article •
Resting-state functional magnetic resonance study of default mood network in patients with subacute post-ischemic stroke
ZHANG Peiyao  WANG Jing  WANG Jun  DAI Jianping 

Cite this article as: Zhang PY, Wang J, Wang J, et al. Resting-state functional magnetic resonance study of default mood network in patients with subacute post-ischemic stroke. Chin J Magn Reson Imaging, 2020, 11(8): 615-619. DOI:10.12015/issn.1674-8034.2020.08.004.


[Abstract] Objective: This study identified altered functional connectivity (FC) in patients with post-stroke depression (PSD) at the subacute phase in default mood network (DMN). The correlation between FC and the severity of PSD was also investigated.Materials and Methods: Resting-state functional magnetic resonance imaging (rs-fMRI) was performed on 26 PSD patients, 24 stroke patients without depression, and 24 age-matched normal controls. The FC values of DMN were calculated and compared among the three groups. The Hamilton Depression Rating Scale (HDRS) (17 items) was employed and the score was correlated with FC in the PSD group.Results: The FCs of DMN were altered in PSD patients at the subacute phase compared to stroke patients without depression and normal controls (NC). Moreover, the left inferior parietal gyrus (which indicated altered FC) were significantly correlated with HDRS scores in PSD patients.Conclusions: Alteration of DMN might be correlated with the development of PSD at the subacute phase of stroke.
[Keywords] post-stroke depression；default mood network；functional magnetic resonance imaging；functional connectivity

ZHANG Peiyao Department of Radiology, China-Japan Friendship Hospital, Beijing 100029, China

WANG Jing Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China

WANG Jun State Key Laboratory of Cognitive Neuroscience and Learning & IDG/Mc Govern Institute for Brain Research, Beijing Normal University, Beijing 100875, China

DAI Jianping* Department of Neuroimaging, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, China

*Corresponding to: Dai JP, E-mail: 372168462@qq.com

Conflicts of interest   None.

Received  2019-10-29
Accepted  2020-05-30
DOI: 10.12015/issn.1674-8034.2020.08.004
Cite this article as: Zhang PY, Wang J, Wang J, et al. Resting-state functional magnetic resonance study of default mood network in patients with subacute post-ischemic stroke. Chin J Magn Reson Imaging, 2020, 11(8): 615-619. DOI:10.12015/issn.1674-8034.2020.08.004.

[1]
Villa RF, Ferrari F, Moretti A. Post-stroke depression: Mechanisms and pharmacological treatment. Pharmacol Ther, 2018, 184: 131-144.
[2]
Oni OD, Olagunju AT, Olisah VO, et al. Post-stroke depression: Prevalence, associated factors and impact on quality of life among outpatients in a Nigerian hospital. S Afr J Psychiatr, 2018, 24: 1058.
[3]
Smitha KA, Akhil RK, Arun KM, et al. Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks. Neuroradiol J, 2017, 30(4): 305-317.
[4]
Satpute AB, Lindquist KA. The default mode network's role in discrete emotion. Trends Cogn Sci, 2019, 23(10): 851-864.
[5]
Lassalle-Lagadec S, Sibon I, Dilharreguy B, et al. Subacute default mode network dysfunction in the prediction of post-stroke depression severity. Radiology, 2012, 264(1): 218-224.
[6]
张佩瑶，徐琴，王君，等．缺血性卒中后抑郁患者静息状态下默认网络功能连接的研究．磁共振成像, 2017, 8(6): 401-407.
[7]
Sheline YI, Price JL, Yan Z, et al. Resting-state functional MRI in depression unmasks increased connectivity between networks via the dorsal nexus. Proc Natl Acad Sci U S A, 2010, 107(24): 11020-11025.
[8]
Qiu C, Feng Y, Meng Y, et al. Analysis of altered baseline brain activity in drug-naive adult patients with social anxiety disorder using resting-state functional MRI. Psychiatry Investig, 2015, 12(3): 372-380.
[9]
Beevers CG, Clasen P, Stice E, et al. Depression symptoms and cognitive control of emotion cues: a functional magnetic resonance imaging study. Neuroscience, 2010, 167(1): 97-103.
[10]
Zhang J, Wang J, Wu Q, et al. Disrupted brain connectivity networks in drug-naive, first-episode major depressive disorder. Biol Psychiatry, 2011, 70(4): 334-342.
[11]
Li BJ, Friston K, Mody M, et al. A brain network model for depression: From symptom understanding to disease intervention. CNS Neurosci Ther, 2018, 24(11): 1004-1019.
[12]
Bench CJ, Friston KJ, Brown RG, et al. Regional cerebral blood flow in depression measured by positron emission tomography: the relationship with clinical dimensions. Psychol Med, 1993, 23(3): 579-590.
[13]
Vicentini JE, Weiler M, SRM A, et al. Depression and anxiety symptoms are associated to disruption of default mode network in subacute ischemic stroke. Brain Imaging Behav, 2017, 11(6): 1571-1580.
[14]
Mak LE, Minuzzi L, MacQueen G, et al. The default mode network in healthy individuals: A systematic review and meta-analysis. Brain Connect, 2017, 7(1): 25-33.
[15]
Jackson RL, Bajada CJ, Rice GE, et al. An emergent functional parcellation of the temporal cortex. Neuroimage, 2018, 170: 385-399.
[16]
Lemogne C, Delaveau P, Freton M, et al. Medial prefrontal cortex and the self in major depression. J Affect Disord, 2012, 136(1-2): e1-e11.
[17]
Ma N, Li L, Shu N, et al. White matter abnormalities in first-episode, treatment-naive young adults with major depressive disorder. Am J Psychiatry, 2007, 164(5): 823-826.
[18]
Coutinho JF, Fernandesl SV, Soares JM, et al. Default mode network dissociation in depressive and anxiety states. Brain Imaging Behav, 2016, 10(1): 147-157.
[19]
Renner F, Siep N, Arntz A, et al. Negative mood-induction modulates default mode network resting-state functional connectivity in chronic depression. J Affect Disord, 2017, 208: 590-596.
[20]
Wei N, Yong W, Li X, et al. Post-stroke depression and lesion location: a systematic review. J Neurol, 2015, 262(1): 81-90.

PREV Clinical application of magnetic resonance NODDI in the diagnosis of putamen disease in patients with Parkinson's disease
NEXT The value of minimum apparent diffusion coefficient value in evaluating Ki-67 proliferation index of adult intracranial ependymoma
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn