IDEAS home Printed from https://ideas.repec.org/a/sae/intdis/v16y2020i1p1550147719895960.html
   My bibliography  Save this article

Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients

Author

Listed:
  • Yan Lv
  • Huijuan Chen
  • Zhiyan Sui
  • Yingliu Huang
  • Shixiong Huang
  • Feng Chen
  • Guoqiang Wen

Abstract

Vascular dementia, secondary to Alzheimer’s dementia, ranks as one of the most frequent dementia types. The process of vascular dementia is divergent with other neurodegenerative dementias and thus reversible at the early cognitive disorder or mild dementia stages. The encephalography and neuroimaging data mining at different stages would bring neuromodulation strategies in practice; 15 mild cognitive impairment patients and 16 mild vascular dementia patients as well as 17 cognitive healthy controls were screened in this study. Cognitive tests such as Mini-Mental State Examination, Montreal cognitive assessment, voxel-based morphometry, electroencephalography, and standardized low-resolution brain electromagnetic tomography connectivity network were conducted. Compared with healthy group, voxel-based morphometry analysis showed a decrease in gray/cerebrospinal fluid ratio ( p  

Suggested Citation

  • Yan Lv & Huijuan Chen & Zhiyan Sui & Yingliu Huang & Shixiong Huang & Feng Chen & Guoqiang Wen, 2020. "Spectrum-specific encephalography standardized low-resolution brain electromagnetic tomography network and gray matter correlations in vascular dementia patients," International Journal of Distributed Sensor Networks, , vol. 16(1), pages 15501477198, January.
  • Handle: RePEc:sae:intdis:v:16:y:2020:i:1:p:1550147719895960
    DOI: 10.1177/1550147719895960
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/1550147719895960
    Download Restriction: no

    File URL: https://libkey.io/10.1177/1550147719895960?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:intdis:v:16:y:2020:i:1:p:1550147719895960. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.