Brain functional alternation in patients with systemic sclerosis: a resting-state functional magnetic resonance imaging study

被引:1
|
作者
Tong, Xinyu [1 ]
He, Huilin [2 ]
Xu, Shihan [2 ]
Shen, Rui [3 ]
Ning, Zihan [3 ,4 ]
Zeng, Xiaofeng [2 ]
Wang, Qian [2 ]
Xu, Dong [2 ]
He, Zuo-Xiang [1 ]
Zhao, Xihai [3 ]
机构
[1] Tsinghua Univ, Sch Clin Med, Beijing Tsinghua Changgung Hosp, Dept Nucl Med, Beijing 100084, Peoples R China
[2] Peking Union Med Coll & Chinese Acad Med Sci, Peking Union Med Coll Hosp, Natl Clin Res Ctr Dermatol & Immunol Dis NCRC DID, Minist Educ,Dept Rheumatol,Key Lab Rheumatol & Cli, Beijing 100730, Peoples R China
[3] Tsinghua Univ, Ctr Biomed Imaging Res, Sch Biomed Engn, Beijing 100084, Peoples R China
[4] Kings Coll London, Dept Perinatal Imaging & Hlth, London SE1 7EH, England
关键词
Systemic sclerosis; Brain; Resting state fMRI; Independent component analysis; CONNECTIVITY; NETWORK; DISEASE; MOTOR;
D O I
10.1186/s13075-024-03433-3
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Neuropsychiatric manifestations, such as cognitive impairment, are relatively prevalent in systemic sclerosis (SSc) patients. This study aimed to investigate the resting state (RS) functional alternations of SSc patients and the potential influenced factors. Methods Forty-four SSc patients (mean age, 46.3 +/- 11.4 years; 40 females) and 19 age and sex comparable healthy volunteers (mean age, 42.6 +/- 11.3 years; 16 females) were recruited and underwent RS functional MR imaging (fMRI) and neuropsychological assessments. Functional segregation analysis was performed to calculate the amplitude of low frequency fluctuation (ALFF) and regional homogeneity (ReHo). Functional integration analysis was conducted using group independent component analysis to calculate intra-network and inter-network functional connectivity (FC). The fMRI measurements were compared between SSc patients and healthy volunteers using voxel-based pairwise two-sample t-tests. The correlations between clinical characteristics and fMRI measurements were also analyzed. Results Compared to healthy volunteers, SSc patients exhibited significantly decreased ALFF and increased ReHo (all P < 0.01, FWE corrected). SSc patients predominantly showed decreased intra-network and inter-network FC in the auditory network, visual network, default mode network, frontoparietal network and attention network (intra-network FC: P < 0.01, uncorrected, cluster size > 30; inter-network FC: P < 0.05, FDR correction). Furthermore, clinical characteristics including disease duration (r value ranged from - 0.31 to 0.36), elevated erythrocyte sedimentation rate (r = 0.35), Montreal Cognitive Assessment score (r = 0.43), and Hamilton Depression Scale score (r = -0.40) were significantly associated with fMRI measurements (all P < 0.05). Conclusions Spontaneous activity and functional connectivity alternations can be seen in SSc patients, which are partially associated with neuropsychiatric manifestations and tend to aggravate with disease duration.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Dynamic functional connectivity of the migraine brain: a resting-state functional magnetic resonance imaging study
    Lee, Mi Ji
    Park, Bo-Yong
    Cho, Soohyun
    Park, Hyunjin
    Kim, Sung-Tae
    Chung, Chin-Sang
    PAIN, 2019, 160 (12) : 2776 - 2786
  • [2] Automatic selection of resting-state networks with functional magnetic resonance imaging
    Storti, Silvia Francesca
    Formaggio, Emanuela
    Nordio, Roberta
    Manganotti, Paolo
    Fiaschi, Antonio
    Bertoldo, Alessandra
    Toffolo, Gianna Maria
    FRONTIERS IN NEUROSCIENCE, 2013, 7
  • [3] Resting-State Functional Magnetic Resonance Imaging for Language Preoperative Planning
    Branco, Paulo
    Seixas, Daniela
    Deprez, Sabine
    Kovacs, Silvia
    Peeters, Ronald
    Castro, Sao L.
    Sunaert, Stefan
    FRONTIERS IN HUMAN NEUROSCIENCE, 2016, 10
  • [4] Altered Resting State Functional Activity of Brain Regions in Neovascular Glaucoma: A Resting-State Functional Magnetic Resonance Imaging Study
    Yu, Chao
    Li, Chu-Qi
    Ge, Qian-Min
    Shu, Hui-Ye
    Liao, Xu-Lin
    Pan, Yi-Cong
    Wu, Jie-Li
    Su, Ting
    Zhang, Li-Juan
    Liang, Rong-Bin
    Shao, Yi
    Zeng, Er-Ming
    FRONTIERS IN NEUROSCIENCE, 2021, 15
  • [5] Classification of Functional Movement Disorders with Resting-State Functional Magnetic Resonance Imaging
    Waugh, Rebecca E.
    Parker, Jacob A.
    Hallett, Mark
    Horovitz, Silvina G.
    BRAIN CONNECTIVITY, 2023, 13 (01) : 4 - 14
  • [6] Resting-state functional magnetic resonance imaging reveals functional connectivity alteration in the experimental autoimmune encephalomyelitis model of multiple sclerosis
    Bontempi, Pietro
    Piccolantonio, Giusi
    Busato, Alice
    Conti, Anita
    Angelini, Gabriele
    Lopez, Nicola
    Bani, Alessandro
    Constantin, Gabriela
    Marzola, Pasquina
    NMR IN BIOMEDICINE, 2024, 37 (06)
  • [7] Altered regional homogeneity of spontaneous brain activity in patients with toothache: A resting-state functional magnetic resonance imaging study
    Yang, Jun
    Shao, Yi
    Li, Bin
    Yu, Qiu-Yue
    Ge, Qian-Min
    Li, Biao
    Pan, Yi-Cong
    Liang, Rong-Bin
    Wu, Shi-Nan
    Li, Qiu-Yu
    He, Yu-Lin
    FRONTIERS IN NEUROSCIENCE, 2022, 16
  • [8] Disrupted Brain Functional Network in Internet Addiction Disorder: A Resting-State Functional Magnetic Resonance Imaging Study
    Wee, Chong-Yaw
    Zhao, Zhimin
    Yap, Pew-Thian
    Wu, Guorong
    Shi, Feng
    Price, True
    Du, Yasong
    Xu, Jianrong
    Zhou, Yan
    Shen, Dinggang
    PLOS ONE, 2014, 9 (09):
  • [9] STUDY OF RESTING-STATE FUNCTIONAL MAGNETIC RESONANCE IMAGING IN PATIENTS WITH PARKINSON'S DISEASE
    Qiao, Chen
    LI, Xiaosheng
    Hou, Changlong
    ACTA MEDICA MEDITERRANEA, 2022, 38 (03): : 1655 - 1659
  • [10] Resting-state functional magnetic resonance imaging in patients with Parkinson's disease with and without constipation: a prospective study
    Zheng, Jin Hua
    Sun, Wen Hua
    Ma, Jian Jun
    Wang, Zhi Dong
    Chang, Qing Qing
    Dong, Lin Rui
    Shi, Xiao Xue
    Li, Ming Jian
    CLINICAL AUTONOMIC RESEARCH, 2022, 32 (01) : 51 - 58