Altered Resting-State Brain Activity and Functional Connectivity in Post-Stroke Apathy: An fMRI Study

被引:4
|
作者
Jiang, Shiyi [1 ,2 ]
Zhang, Hui [3 ]
Fang, Yirong [1 ,2 ]
Yin, Dawei [4 ]
Dong, Yiran [1 ,2 ]
Chao, Xian [1 ,2 ]
Gong, Xiuqun [5 ]
Wang, Jinjing [6 ]
Sun, Wen [1 ,2 ]
机构
[1] Univ Sci & Technol China USTC, Affiliated Hosp 1, Dept Neurol, Div Life Sci & Med, Hefei 230001, Peoples R China
[2] Univ Sci & Technol China, Stroke Ctr, Hefei 230001, Peoples R China
[3] Zhongshan Hosp Tradit Chinese Med, Dept Gastroenterol, Zhongshan 528400, Peoples R China
[4] Univ Sci & Technol China USTC, Affiliated Hosp 1, Dept Radiol, Div Life Sci & Med, Hefei 230001, Peoples R China
[5] Anhui Univ Sci & Technol, Huainan Peoples Hosp 1, Dept Neurol, Affiliated Hosp 1, Huainan 232000, Peoples R China
[6] Univ Sci & Technol China, Stroke Ctr, Affiliated Hosp, Dept Neurol,Med Sch, Hefei 230001, Peoples R China
关键词
resting-state fMRI; ischemic stroke; post-stroke apathy; fractional amplitude of low-frequency fluctuation; functional connectivity; LOW-FREQUENCY FLUCTUATION; COGNITIVE IMPAIRMENT; SALIENCE NETWORK; STROKE; DEPRESSION; AMPLITUDE; SYMPTOMS; DEMENTIA; DISEASE; CORTEX;
D O I
10.3390/brainsci13050730
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Apathy is a common neuropsychiatric disease after stroke and is linked to a lower quality of life while undergoing rehabilitation. However, it is still unknown what are the underlying neural mechanisms of apathy. This research aimed to explore differences in the cerebral activity and functional connectivity (FC) of subjects with post-stroke apathy and those without it. A total of 59 individuals with acute ischemic stroke and 29 healthy subjects with similar age, sex, and education were recruited. The Apathy Evaluation Scale (AES) was used to evaluate apathy at 3 months after stroke. Patients were split into two groups-PSA (n = 21) and nPSA (n = 38)-based on their diagnosis. The fractional amplitude of low-frequency fluctuation (fALFF) was used to measure cerebral activity, as well as region-of-interest to region-of-interest analysis to examine functional connectivity among apathy-related regions. Pearson correlation analysis between fALFF values and apathy severity was performed in this research. The values of fALFF in the left middle temporal regions, right anterior and middle cingulate regions, middle frontal region, and cuneus region differed significantly among groups. Pearson correlation analysis showed that the fALFF values in the left middle temporal region (p < 0.001, r = 0.66) and right cuneus (p < 0.001, r = 0.48) were positively correlated with AES scores in stroke patients, while fALFF values in the right anterior cingulate (p < 0.001, r = -0.61), right middle frontal gyrus (p < 0.001, r = -0.49), and middle cingulate gyrus (p = 0.04, r = -0.27) were negatively correlated with AES scores in stroke patients. These regions formed an apathy-related subnetwork, and functional connectivity analysis unveiled that altered connectivity was linked to PSA (p < 0.05). This research found that abnormalities in brain activity and FC in the left middle temporal region, right middle frontal region, right cuneate region, and right anterior and middle cingulate regions in stroke patients were associated with PSA, revealing a possible neural mechanism and providing new clues for the diagnosis and treatment of PSA.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Altered functional connectivity in early Alzheimer's disease: A resting-state fMRI study
    Wang, Kun
    Liang, Meng
    Wang, Liang
    Tian, Lixia
    Zhang, Xinqing
    Li, Kuncheng
    Jiang, Tianzi
    HUMAN BRAIN MAPPING, 2007, 28 (10) : 967 - 978
  • [22] Altered Brain Functional Hubs and Connectivity in Type 2 Diabetes Mellitus Patients: A Resting-State fMRI Study
    Liu, Daihong
    Duan, Shanshan
    Zhou, Chaoyang
    Wei, Ping
    Chen, Lihua
    Yin, Xuntao
    Zhang, Jiuquan
    Wang, Jian
    FRONTIERS IN AGING NEUROSCIENCE, 2018, 10
  • [23] Exploring functional brain activity in neonates: A resting-state fMRI study
    Huang, Ziyi
    Wang, Qi
    Zhou, Senyu
    Tang, Chao
    Yi, Fa
    Nie, Jingxin
    DEVELOPMENTAL COGNITIVE NEUROSCIENCE, 2020, 45
  • [24] Altered Spontaneous Brain Activity in Poststroke Aphasia: A Resting-State fMRI Study
    Li, Haozheng
    Zhang, Hui
    Xu, Shuai
    Wang, Mengxing
    Zhang, Jilei
    Liu, Jianren
    Du, Xiaoxia
    Hu, Ruiping
    BRAIN SCIENCES, 2023, 13 (02)
  • [25] Altered brain spontaneous activity and connectivity network in irritable bowel syndrome patients: A resting-state fMRI study
    Ma, Xiaofen
    Li, Shumei
    Tian, Junzhang
    Jiang, Guihua
    Wen, Hua
    Wang, Tianyue
    Fang, Jin
    Zhan, Wenfeng
    Xu, Yikai
    CLINICAL NEUROPHYSIOLOGY, 2015, 126 (06) : 1190 - 1197
  • [26] Altered hippocampal functional connectivity patterns in patients with cognitive impairments following ischaemic stroke: A resting-state fMRI study
    Jung, JeYoung
    Laverick, Rosanna
    Nader, Kurdow
    Brown, Thomas
    Morris, Haley
    Wilson, Martin
    Auer, Dorothee P.
    Rotshtein, Pia
    Hosseini, Akram A.
    NEUROIMAGE-CLINICAL, 2021, 32
  • [27] Altered resting-state functional connectivity of the frontal-striatal circuit in elderly with apathy
    Hamada, Chizuko
    Kawagoe, Toshikazu
    Takamura, Masahiro
    Nagai, Atsushi
    Yamaguchi, Shuhei
    Onoda, Keiichi
    PLOS ONE, 2021, 16 (12):
  • [28] Distributional representation of resting-state fMRI for functional brain connectivity analysis
    Zhu, Jiating
    Cao, Jiannong
    Zhu, Jiating (sophie._z@163.com), 1600, Elsevier B.V. (427): : 156 - 168
  • [29] Altered brain connectivity in hyperkinetic movement disorders: A review of resting-state fMRI
    Marapin, Ramesh S.
    van der Horn, Harm J.
    van der Stouwe, A. M. Madelein
    Dalenberg, Jelle R.
    de Jong, Bauke M.
    Tijssen, Marina A. J.
    NEUROIMAGE-CLINICAL, 2023, 37
  • [30] Disruptions of resting-state functional connectivity in post-stroke motor dysfunctions: a meta-analysis
    Zhu, Tingting
    Chen, Jing
    Du, Yanting
    Li, Tongyue
    Jia, Xize
    Lv, Yating
    BRAIN IMAGING AND BEHAVIOR, 2025,