Share this content in WeChat
Multimodal MRI research progress on brain structure, brain function, and brain network in post-stroke depression
LI Xiaoling  GAO Shenglan  CAO Danna  HAN Shengwang  WANG Yang  YUE Jinhuan  WEI Zeyi  ZHANG Qinhong 

LI X L, GAO S L, CAO D N, et al. Multimodal MRI research progress on brain structure, brain function, and brain network in post-stroke depression[J]. Chin J Magn Reson Imaging, 2023, 14(8): 135-139. DOI:10.12015/issn.1674-8034.2023.08.023.

[Abstract] Post stroke depression (PSD) is often secondary to stroke and has an impact on stroke recovery to some extents, which leads to an increase in patient mortality. Therefore, early diagnosis and timely treatment are of great significance for improving the condition of PSD and the alleviation of symptoms. In recent years, multi-modal MRI has developed rapidly. This technology has the advantages of radiation free, multi-parameter, and multi sequence imaging, thus it has been applied by many scholars to study the brain function and brain structure of PSD. We conducted a literature search on the exploration of multi-modal MRI in PSD and found that the experimental methods mainly used structural or functional MRI techniques, studying abnormalities in gray matter, white matter, brain metabolism, brain network, cerebral blood flow perfusion, and resting state brain function. This paper provides a review of the above contents to provide a base for PSD treatment.
[Keywords] post-stroke depression;brain structure;brain functional;brain network;multimodality;magnetic resonance imaging

LI Xiaoling1   GAO Shenglan2   CAO Danna1   HAN Shengwang2, 3   WANG Yang1, 2   YUE Jinhuan4   WEI Zeyi2   ZHANG Qinhong4*  

1 Department of CT & MR, the First Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

2 Graduate School of Heilongjiang University of Traditional Chinese Medicine, Harbin 150040, China

3 Department of Rehabilitation, the Second Affiliated Hospital of Heilongjiang University of Traditional Chinese Medicine, Harbin 150001, China

4 Department of Acupuncture and Massage, Shenzhen Jiuwei TCM Outpatient Department, Shenzhen 518000, China

Corresponding author: Zhang QH, E-mail:

Conflicts of interest   None.

ACKNOWLEDGMENTS National Natural Science Foundation of China (No. 82074537); Natural Science Foundation Project of Heilongjiang Province (No. LH2020H103, LH2021H101); Science and Technology Innovation Project of Shenzhen Longhua District (No. 2022010); Scientific Research Project of Heilongjiang Administration of Traditional Chinese Medicine (No. ZHY2022-194).
Received  2023-03-20
Accepted  2023-07-13
DOI: 10.12015/issn.1674-8034.2023.08.023
LI X L, GAO S L, CAO D N, et al. Multimodal MRI research progress on brain structure, brain function, and brain network in post-stroke depression[J]. Chin J Magn Reson Imaging, 2023, 14(8): 135-139. DOI:10.12015/issn.1674-8034.2023.08.023.

WANG L D, PENG B, ZHANG H Q, et al. Brief report on stroke prevention and treatment in China, 2020[J]. Chin J Cerebrovasc Dis, 2022, 19(2): 136-144.
GUO J L, WANG J J, SUN W, et al. The advances of post-stroke depression: 2021 update[J]. J Neurol, 2022, 269(3): 1236-1249. DOI: 10.1007/s00415-021-10597-4.
SEBESTOVA M, LACKNER I, INAYAT M, et al. Post stroke depression[J]. Ther Umsch, 2021, 78(6): 299-304. DOI: 10.1024/0040-5930/a001274.
LIU R, ZHANG K, TONG Q Y, et al. Acupuncture for post-stroke depression: a systematic review and meta-analysis[J/OL]. BMC Complement Med Ther, 2021, 21(1): 109 [2023-03-19]. DOI: 10.1186/s12906-021-03277-3.
FRANK D, GRUENBAUM B F, ZLOTNIK A, et al. Pathophysiology and current drug treatments for post-stroke depression: a review[J/OL]. Int J Mol Sci, 2022, 23(23): 15114 [2023-03-19]. DOI: 10.3390/ijms232315114.
ZHANG Q, CHEN S S, ZHANG Y T, et al. Interventions targeting psychosocial adaptation in people with stroke: a scoping review[J/OL]. Patient Educ Couns, 2023, 113: 107751 [2023-03-19]. DOI: 10.1016/j.pec.2023.107751.
LIU Z X, LU J J, ZHOU Y X. Research progress on the pathogenesis of post-stroke depression[J]. China Med Her, 2019, 16(2): 24-28.
ZHOU L, WANG T, YU Y W, et al. The etiology of poststroke-depression: a hypothesis involving HPA axis[J/OL]. Biomed Pharmacother, 2022, 151: 113146 [2023-03-19]. DOI: 10.1016/j.biopha.2022.113146.
CHI C H, HUANG Y Y, YE S Z, et al. Interleukin-10 level is associated with post-stroke depression in acute ischaemic stroke patients[J/OL]. J Affect Disord, 2021, 293: 254-260 [2023-03-19]. DOI: 10.1016/j.jad.2021.06.037.
LIU S, WANG X, YU R, et al. Effect of transcranial magnetic stimulation on treatment effect and immune function[J]. Saudi J Biol Sci, 2022, 29(1): 379-384. DOI: 10.1016/j.sjbs.2021.08.104.
LI Y, ZHANG X, CHEN L X, et al. Cerebellar fastigial nucleus is involved in post-stroke depression through direct cerebellar-hypothalamic GABAergic and glutamatergic projections[J]. Exp Ther Med, 2019, 18(4): 2885-2892. DOI: 10.3892/etm.2019.7913.
SUTOKO S, ATSUMORI H, OBATA A, et al. Lesions in the right Rolandic operculum are associated with self-rating affective and apathetic depressive symptoms for post-stroke patients[J/OL]. Sci Rep, 2020, 10(1): 20264 [2023-03-19]. DOI: 10.1038/s41598-020-77136-5.
WANG X S, ZHANG P, ZENG J, et al. Risk factors of post-stroke depression in patients with acute cerebral infarction in northern Henan Province[J]. J Xinxiang Med Univ, 2020, 37(5): 484-488. DOI: 10.7683/xxyxyxb.2020.05.020.
OLIBAMOYO O, ADEWUYA A, OLA B, et al. Prevalence and correlates of depression among Nigerian stroke survivors[J/OL]. S Afr J Psych, 2019, 25 [2023-03-19]. DOI: 10.4102/sajpsychiatry.v25i0.1252.
SUN C, LIU X H, BAO C P, et al. Advanced non-invasive MRI of neuroplasticity in ischemic stroke: techniques and applications[J/OL]. Life Sci, 2020, 261: 118365 [2023-03-19]. DOI: 10.1016/j.lfs.2020.118365.
WU L, WU W, ZENG Q, et al. Magnetic resonance imaging of grey matter volume in anterior cingulate and hippocampus in patients with post-stroke depression[J]. J Third Mil Med Univ, 2013, 35(23): 2577-2581. DOI: 10.16016/j.1000-5404.2013.23.006.
HONG W J, ZHAO Z Y, WANG D M, et al. Altered gray matter volumes in post-stroke depressive patients after subcortical stroke[J/OL]. Neuroimage Clin, 2020, 26: 102224 [2023-03-19]. DOI: 10.1016/j.nicl.2020.102224.
SHI Y, ZENG Y Y, WU L, et al. A study of the brain abnormalities of post-stroke depression in frontal lobe lesion[J/OL]. Sci Rep, 2017, 7(1): 13203 [2023-03-19]. DOI: 10.1038/s41598-017-13681-w.
NAKAJIMA R, KINOSHITA M, OKITA H, et al. Posterior-prefrontal and medial orbitofrontal regions play crucial roles in happiness and sadness recognition[J/OL]. Neuroimage Clin, 2022, 35: 103072 [2023-03-19]. DOI: 10.1016/j.nicl.2022.103072.
ZHANG D, CHEN Y Y, SHEN J, et al. Altered characteristics of brain gray matter volume and structural covariance network in maintenance hemodialysis patients without neuropsychological disorder[J]. Chin J Magn Reson Imag, 2022, 13(12): 64-68, 80. DOI: 10.12015/issn.1674-8034.2022.12.011.
CAI L N, LI X L, CUI X, et al. Research progress of different analysis methods of resting state magnetic resonance imaging in vascular cognitive impairment no dementia[J]. Chin J Magn Reson Imag, 2022, 13(9): 116-119. DOI: 10.12015/issn.1674-8034.2022.09.027.
ZHU Z F, LIU D B, ZHANG J Y, et al. Decreased regional homogeneity in patients with poststroke depression: a resting-state functional magnetic resonance imaging study[J]. Int J Cerebrovasc Dis, 2012, 20(7): 501-503. DOI: 10.3760/cma.j.issn.1673-4165.2012.07.003.
YANG R R, PO X Y. Analysis for the brain region activities in patients with post-stroke depression[J]. Hebei Med J, 2019, 41(19): 3007-3009. DOI: 10.3969/j.issn.1002-7386.2019.19.034.
ZHANG F, JIANG H X, ZHENG S L, et al. Clinical observation on the alternations of cerebellum by resting-state functional MRI in patients with post-stroke depression[J]. J Jinzhou Med Univ, 2022, 43(4): 48-52. DOI: 10.13847/j.cnki.lnmu.2022.04.015.
LI X L, ZHAO P, WANG L, et al. Research progress of fMRI in acupuncture and moxibustion treatment of primary dysmenorrhea[J]. Chin Imag J Integr Tradit West Med, 2023, 21(1): 9-12. DOI: 10.3969/j.issn.1672-0512.2023.01.003.
LI H, ZHANG X N, SUN X T, et al. Functional networks in prolonged disorders of consciousness[J/OL]. Front Neurosci, 2023, 17: 1113695 [2023-03-19]. DOI: 10.3389/fnins.2023.1113695.
ZHANG P Y, WANG J, WANG J, et al. Resting-state functional magnetic resonance study of default mood network in patients with subacute post-ischemic stroke[J]. Chin J Magn Reson Imag, 2020, 11(8): 615-619. DOI: 10.12015/issn.1674-8034.2020.08.004.
YESHURUN Y, NGUYEN M, HASSON U. The default mode network: where the idiosyncratic self meets the shared social world[J]. Nat Rev Neurosci, 2021, 22(3): 181-192. DOI: 10.1038/s41583-020-00420-w.
SATPUTE A B, LINDQUIST K A. The default mode network's role in discrete emotion[J]. Trends Cogn Sci, 2019, 23(10): 851-864. DOI: 10.1016/j.tics.2019.07.003.
ZHANG P Y, XU Q, WANG J, et al. Resting-state functional magnetic resonance imaging study of ischemic post stroke depression[J]. Chin J Magn Reson Imag, 2017, 8(6): 401-407. DOI: 10.12015/issn.1674-8034.2017.06.001.
ZHANG P Y, WANG J, XU Q, et al. Altered functional connectivity in post-ischemic stroke depression: a resting-state functional magnetic resonance imaging study[J/OL]. Eur J Radiol, 2018, 100: 156-165 [2023-03-19]. DOI: 10.1016/j.ejrad.2018.01.003.
BALAEV V, ORLOV I, PETRUSHEVSKY A, et al. Functional connectivity between salience, default mode and frontoparietal networks in post-stroke depression[J/OL]. J Affect Disord, 2018, 227: 554-562 [2023-03-19]. DOI: 10.1016/j.jad.2017.11.044.
XU Y H, DING L. A review of brain tissue microstructural imaging based on diffusion magnetic resonance[J]. Chin J Biomed Eng, 2021, 40(3): 354-363. DOI: 10.3969/j.issn.0258-8021.2021.03.11.
HAO X K, LIU Z Q, HE S H, et al. Application of DTI and fMRI in moyamoya disease[J/OL]. Front Neurol, 2022, 13: 948830 [2023-03-19]. DOI: 10.3389/fneur.2022.948830.
YASUNO F, TAGUCHI A, YAMAMOTO A, et al. Microstructural abnormalities in white matter and their effect on depressive symptoms after stroke[J]. Psychiatry Res, 2014, 223(1): 9-14. DOI: 10.1016/j.pscychresns.2014.04.009.
WANG X W, SHI M Y, XU B T. Clinical analysis of thalamic diffusion tensor changes in elderly patients with post-stroke depression[J]. Smart Healthc, 2021, 7(12): 85-87. DOI: 10.19335/j.cnki.2096-1219.2021.12.029.
SUN H X, HE G F, YIN W W, et al. Changes of brain network topological characteristics and their relationships with the clinical symptoms in patients with post-stroke depression[J]. J Clin Neurol, 2020, 33(5): 379-382.
XU X P, TANG R, ZHANG L P, et al. Altered topology of the structural brain network in patients with post-stroke depression[J/OL]. Front Neurosci, 2019, 13: 776 [2023-03-19]. DOI: 10.3389/fnins.2019.00776.
YANG J, JIANG X W, WEI S N, et al. White matter tracts in Bipolar Disorder patients: a comparative study based on diffusion kurtosis and tensor imaging[J/OL]. J Affect Disord, 2021, 292: 45-55 [2023-03-19]. DOI: 10.1016/j.jad.2021.05.030.
LIANG W J, FAN Z X, CUI S, et al. The association between White matter microstructure alterations detected by Diffusional kurtosis imaging in Neural circuit and post-stroke depression[J]. Neurol Res, 2021, 43(7): 535-542. DOI: 10.1080/01616412.2021.1888033.
SHEN X Y, FAN Z X, WANG L, et al. Altered white matter microstructure in patients with post-stroke depression detected by diffusion kurtosis imaging[J]. Neurol Sci, 2019, 40(10): 2097-2103. DOI: 10.1007/s10072-019-03947-8.
HUO M, ZHAN S H, TAN W L. Research progress of 1H-MRS in evaluating brain metabolites in patients with chronic low back pain[J]. Chin Imag J Integr Tradit West Med, 2021, 19(6): 594-598. DOI: 10.3969/j.issn.1672-0512.2021.06.023.
PAN C Y, WANG Y S, WANG P L, et al. Magnetic resonance spectroscopy analysis of metabolic changes of thalamus in patients with post-stroke depression[J]. China Mod Dr, 2019, 57(15): 20-23, 27.
ZHANG L, SUI R B, ZHANG L, et al. Morphological and metabolic alteration of cerebellum in patients with post-stroke depression[J]. Cell Physiol Biochem, 2016, 40(3/4): 420-430. DOI: 10.1159/000452557.
ZHANG L, LI M Z, SUI R B. Correlation between cerebellar metabolism and post-stroke depression in patients with ischemic stroke[J]. Oncotarget, 2017, 8(53): 91711-91722. DOI: 10.18632/oncotarget.21063.
CHEN F F, WANG W N, GONG Q Y, et al. Progress in proton magnetic resonance spectroscopy (1H-MRS) of depression[J]. Sichuan Med J, 2018, 39(8): 958-963. DOI: 10.16252/j.cnki.issn1004-0501-2018.08.030.
BAO S S, LIU Y F, LUO Y Y, et al. Advances in imaging differentiation of pseudoprogression and recurrence of brain gliomas after treatment[J]. Chin J Magn Reson Imag, 2021, 12(3): 85-88. DOI: 10.12015/issn.1674-8034.2021.03.020.
CUI M, HUANG C Y. A perfusion-weighted imaging study of patients with post-stroke depression combined with cognitive impairment[J]. Med J Wuhan Univ, 2020, 41(5): 802-805. DOI: 10.14188/j.1671-8852.2019.0343.
ZHAO Q H, LIU X J, GUO Y H. Observation of magnetic resonance perfusion imaging of post-stroke depression combined with cognitive dysfunction[J]. J Imag Res Med Appl, 2022, 6(1): 28-30. DOI: 10.3969/j.issn.2096-3807.2022.01.010.
YUAN J X, DUAN K, WANG Z, et al. Magnetic resonance perfusion imagingin arterial spin marked patientswith early depression after first stroke[J]. Chin J Coal Ind Med, 2021, 24(2): 192-198. DOI: 10.11723/mtgyyx1007-9564202102018.
YANG M, LUO Y, HAO X Z, et al. Effects of high temperature and high humidity stress on the negative feedback regulation of hippocampus on HPA axis in rats[J]. Neuro Endocrinol Lett, 2021, 42(5): 312-320.

NEXT Association and mechanism of asymptomatic carotid stenosis with cognitive impairment as suggested by multimodal MRI

Tel & Fax: +8610-67113815    E-mail: