Alterations in brain function in patients with post-stroke cognitive impairment: a resting-state functional magnetic resonance imaging study

被引:0
作者
Han, Kaiyue [1 ,2 ]
Dong, Linghui [2 ,3 ]
Liao, Xingxing [1 ,2 ,4 ]
Long, Junzi [1 ,2 ,4 ]
Chen, Jiarou [2 ,5 ]
Lu, Haitao [1 ,2 ]
Zhang, Hao [1 ,2 ,3 ,6 ]
机构
[1] Capital Med Univ, Sch Rehabil, Beijing, Peoples R China
[2] Beijing Boai Hosp, China Rehabil Res Ctr, Beijing, Peoples R China
[3] Shandong Univ, Cheeloo Coll Med, Jinan, Peoples R China
[4] Changping Lab, Beijing, Peoples R China
[5] Wenzhou Med Univ, Sch Med 2, Wenzhou, Peoples R China
[6] Univ Hlth & Rehabil Sci, Qingdao, Peoples R China
来源
FRONTIERS IN AGING NEUROSCIENCE | 2025年 / 17卷
关键词
stroke; post-stroke cognitive impairment; resting-state functional magnetic resonance imaging; fractional amplitude of low-frequency fluctuations; regional homogeneity; functional connectivity; CONNECTIVITY; STROKE; NETWORK; METAANALYSIS; LOCATION; ANATOMY; CORTEX; FMRI;
D O I
10.3389/fnagi.2025.1501082
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background Cognitive impairment is a common dysfunction following stroke, significantly affecting patients' quality of life. Studies suggest that post-stroke cognitive impairment (PSCI) may be related to neural activity in specific brain regions. However, the neural mechanisms remain to be further explored. This study aimed to investigate the alterations in brain function in patients with PSCI.Methods This was a case-control study. Thirty patients with PSCI, thirty with non-PSCI (NPSCI), and thirty age- and gender-matched healthy controls (HCs) were selected in a 1:1:1 ratio. Resting-state functional magnetic resonance imaging (rs-fMRI) were acquired from all participants to study the potential neural mechanisms of PSCI patients by comparing the differences in fractional amplitude of low-frequency fluctuation (fALFF), Kendall's coefficient of concordance-regional homogeneity (KCC-ReHo), and seed-based functional connectivity (FC). Additionally, the Montreal Cognitive Assessment (MoCA) scores of PSCI patients were collected, and Pearson correlation was used to analyze the correlation between functional indicators and cognitive performance in PSCI patients.Results fALFF analysis revealed that the PSCI group had decreased zfALFF values in the left caudate, right inferior temporal gyrus (ITG), anterior cingulate cortex (ACC), left putamen, and left superior temporal gyrus. In contrast, increased zfALFF values were observed in the right Cerebellum_6. KCC-ReHo analysis indicated that the PSCI group had decreased SzKCC-ReHo values in the right middle frontal gyrus (MFG) and left postcentral lobe, while increased SzKCC-ReHo values in the left cerebellum_ crus 1, and left cerebellum_4-5. Furthermore, seed-based FC analysis revealed decreased zFC values between brain regions in the PSCI group, especially between the angular gyrus and precuneus. Additionally, correlation analysis showed that the zfALFF value of ACC was positively correlated with MoCA scores in the PSCI group.Conclusion This study demonstrated significant changes in the spontaneous neural activity intensity, regional homogeneity, and FC of multiple cognition-related brain regions in PSCI patients, shedding light on the underlying neural mechanisms of brain function in PSCI.
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页数:12
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  • [1] Alloway K.D., Smith J.B., Mowery T.M., Watson G.D.R., Sensory processing in the dorsolateral striatum: the contribution of thalamostriatal pathways, Front. Syst. Neurosci, 11, (2017)
  • [2] Auer D.P., Spontaneous low-frequency blood oxygenation level-dependent fluctuations and functional connectivity analysis of the “resting” brain, Magn. Reson. Imaging, 26, pp. 1055-1064, (2008)
  • [3] Azeez A.K., Biswal B.B., A review of resting-state analysis methods, Neuroimaging Clin. N. Am, 27, pp. 581-592, (2017)
  • [4] Baghernezhad S., Daliri M.R., Age-related changes in human brain functional connectivity using graph theory and machine learning techniques in resting-state fMRI data, Geroscience, 46, pp. 5303-5320, (2024)
  • [5] Biswal B., Yetkin F.Z., Haughton V.M., Hyde J.S., Functional connectivity in the motor cortex of resting human brain using echo-planar MRI, Magn. Reson. Med, 34, pp. 537-541, (1995)
  • [6] Broca P., Localisation des fonctions cérébrales: Siège de langage articulé, Cahiers. Du. Centre. De. Recherches. Anthropologiques, 4, pp. 200-208, (1863)
  • [7] Buckner R.L., Andrews-Hanna J.R., Schacter D.L., The brain’s default network: anatomy, function, and relevance to disease, Ann. N. Y. Acad. Sci, 1124, pp. 1-38, (2008)
  • [8] Bush G., Luu P., Posner M.I., Cognitive and emotional influences in anterior cingulate cortex, Trends Cogn. Sci, 4, pp. 215-222, (2000)
  • [9] Carter A.R., Astafiev S.V., Lang C.E., Connor L.T., Rengachary J., Strube M.J., Et al., Resting interhemispheric functional magnetic resonance imaging connectivity predicts performance after stroke, Ann. Neurol, 67, pp. 365-375, (2010)
  • [10] Cavanna A.E., Trimble M.R., The precuneus: a review of its functional anatomy and behavioural correlates, Brain, 129, pp. 564-583, (2006)