American Journal of Biomedical and Life Sciences

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A Study of Subjective Cognitive Decline and Subclinical Depression Based on Dynamic Network Connectivity of Cerebral fMRI Data

Received: 17 October 2022    Accepted: 01 December 2022    Published: 08 December 2022
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Abstract

A certain number of fMRI studies on subjective cognitive decline (SCD) have been widely debated. They mainly focus on the differences in brain structure and function between SCD and normal people, while more studies focus on objective cognitive decline. The relationship between psychological factors and SCD via cerebral fMRI data in the elderly is rarely discussed. In this study, we included 66 SCD patients and 63 normal controls (NC) to investigate the neural processes amid the psychological aspects of those with subclinical depression and SCD using dynamic network connectivity and to provide theoretical support for neuroimaging for improved Alzheimer's disease prevention and therapy. We calculated temporal flexibility and spatiotemporal diversity via fMRI data using Shen’s 268 brain template and No. 74 brain region was selected by t-test and correlation analysis. In the NC group, no significant correlation was observed in temporal flexibility value of No. 74–SCD and Hamilton depression scale HAMD–SCD, whereas No. 74–HAMD showed a significant correlation. In the SCD group, all of the three parameters exhibited significant correlation. Mediation analysis obtained the mediation model of No. 74 brain region, subclinical depression, and subjective cognitive decline (No. 74→HAMD→SCD). The results show that visual system plays an important role in subclinical depression, and subclinical depression increases the risk of SCD.

DOI 10.11648/j.ajbls.20221006.12
Published in American Journal of Biomedical and Life Sciences (Volume 10, Issue 6, December 2022)
Page(s) 162-167
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Subjective Cognitive Decline, Subclinical Depression, Dynamic Network Connectivity, Temporal Flexibility, fMRI

References
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Author Information
  • Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China

  • Department of Biomedical Engineering, Faculty of Environment and Life, Beijing University of Technology, Beijing, China

  • Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China

  • Department of Biomedical Engineering, School of Life Sciences, Beijing Institute of Technology, Beijing, China

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  • APA Style

    Zhao Zhang, Guangfei Li, Zeyu Song, Xiaoying Tang. (2022). A Study of Subjective Cognitive Decline and Subclinical Depression Based on Dynamic Network Connectivity of Cerebral fMRI Data. American Journal of Biomedical and Life Sciences, 10(6), 162-167. https://doi.org/10.11648/j.ajbls.20221006.12

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    ACS Style

    Zhao Zhang; Guangfei Li; Zeyu Song; Xiaoying Tang. A Study of Subjective Cognitive Decline and Subclinical Depression Based on Dynamic Network Connectivity of Cerebral fMRI Data. Am. J. Biomed. Life Sci. 2022, 10(6), 162-167. doi: 10.11648/j.ajbls.20221006.12

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    AMA Style

    Zhao Zhang, Guangfei Li, Zeyu Song, Xiaoying Tang. A Study of Subjective Cognitive Decline and Subclinical Depression Based on Dynamic Network Connectivity of Cerebral fMRI Data. Am J Biomed Life Sci. 2022;10(6):162-167. doi: 10.11648/j.ajbls.20221006.12

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  • @article{10.11648/j.ajbls.20221006.12,
      author = {Zhao Zhang and Guangfei Li and Zeyu Song and Xiaoying Tang},
      title = {A Study of Subjective Cognitive Decline and Subclinical Depression Based on Dynamic Network Connectivity of Cerebral fMRI Data},
      journal = {American Journal of Biomedical and Life Sciences},
      volume = {10},
      number = {6},
      pages = {162-167},
      doi = {10.11648/j.ajbls.20221006.12},
      url = {https://doi.org/10.11648/j.ajbls.20221006.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ajbls.20221006.12},
      abstract = {A certain number of fMRI studies on subjective cognitive decline (SCD) have been widely debated. They mainly focus on the differences in brain structure and function between SCD and normal people, while more studies focus on objective cognitive decline. The relationship between psychological factors and SCD via cerebral fMRI data in the elderly is rarely discussed. In this study, we included 66 SCD patients and 63 normal controls (NC) to investigate the neural processes amid the psychological aspects of those with subclinical depression and SCD using dynamic network connectivity and to provide theoretical support for neuroimaging for improved Alzheimer's disease prevention and therapy. We calculated temporal flexibility and spatiotemporal diversity via fMRI data using Shen’s 268 brain template and No. 74 brain region was selected by t-test and correlation analysis. In the NC group, no significant correlation was observed in temporal flexibility value of No. 74–SCD and Hamilton depression scale HAMD–SCD, whereas No. 74–HAMD showed a significant correlation. In the SCD group, all of the three parameters exhibited significant correlation. Mediation analysis obtained the mediation model of No. 74 brain region, subclinical depression, and subjective cognitive decline (No. 74→HAMD→SCD). The results show that visual system plays an important role in subclinical depression, and subclinical depression increases the risk of SCD.},
     year = {2022}
    }
    

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    T1  - A Study of Subjective Cognitive Decline and Subclinical Depression Based on Dynamic Network Connectivity of Cerebral fMRI Data
    AU  - Zhao Zhang
    AU  - Guangfei Li
    AU  - Zeyu Song
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    DO  - 10.11648/j.ajbls.20221006.12
    T2  - American Journal of Biomedical and Life Sciences
    JF  - American Journal of Biomedical and Life Sciences
    JO  - American Journal of Biomedical and Life Sciences
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    PB  - Science Publishing Group
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    UR  - https://doi.org/10.11648/j.ajbls.20221006.12
    AB  - A certain number of fMRI studies on subjective cognitive decline (SCD) have been widely debated. They mainly focus on the differences in brain structure and function between SCD and normal people, while more studies focus on objective cognitive decline. The relationship between psychological factors and SCD via cerebral fMRI data in the elderly is rarely discussed. In this study, we included 66 SCD patients and 63 normal controls (NC) to investigate the neural processes amid the psychological aspects of those with subclinical depression and SCD using dynamic network connectivity and to provide theoretical support for neuroimaging for improved Alzheimer's disease prevention and therapy. We calculated temporal flexibility and spatiotemporal diversity via fMRI data using Shen’s 268 brain template and No. 74 brain region was selected by t-test and correlation analysis. In the NC group, no significant correlation was observed in temporal flexibility value of No. 74–SCD and Hamilton depression scale HAMD–SCD, whereas No. 74–HAMD showed a significant correlation. In the SCD group, all of the three parameters exhibited significant correlation. Mediation analysis obtained the mediation model of No. 74 brain region, subclinical depression, and subjective cognitive decline (No. 74→HAMD→SCD). The results show that visual system plays an important role in subclinical depression, and subclinical depression increases the risk of SCD.
    VL  - 10
    IS  - 6
    ER  - 

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