Article Text

Download PDFPDF

Neuroimaging studies on cognitive impairment due to cerebral small vessel disease
  1. Jing Du1,
  2. Qun Xu2
  1. 1 Neurology, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China
  2. 2 Health Manage Center, Shanghai Jiao Tong University School of Medicine Affiliated Renji Hospital, Shanghai, China
  1. Correspondence to Dr Qun Xu; xuqun628{at}163.com

Abstract

Vascular cognitive impairment (VCI) is a major contributor to age-related dementing illnesses which imposes a tremendous burden on families and society. It is a heterogeneous group of brain disorders. However, cerebral small vessel disease (CSVD) accounts for about 50%–70% of VCI, which represented a more homogeneous subtype of VCI. Advanced multimodal neuroimaging techniques like brain network connectome analyses are currently applied to explore the underlying mechanism of VCI. Some progress in the field of structural and functional brain network researches on a poststroke longitudinal CSVD cohort (Renji CSVD Cohort Study) was reported. Global and regional brain network characters were compared between patients with CSVD and healthy control. It suggested that distributed brain structural network disruption may play a pivot role in the cognitive decline. The results showed that brain structural network characters have distinctive differentiating capacity on the cognition of patients with CSVD.

  • vascular cognitive impairment
  • cerebral small vessel disease
  • neuroimaging techniques
  • brain networks

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

View Full Text

Statistics from Altmetric.com

Footnotes

  • Contributors This paper was drafted by JD and was then amended and approved by QX.

  • Funding This study was supported by grants from the National Key Research and Development Program of China (2016YFC1300600), The Innovation Action Project of Shanghai Committee of Science and Technology (17JC404100), The Project of Collaborative Innovation Center of Translational Medicine (TM201808) and SJTU-UNSW Collaborative Research Funding.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.

  • Patient consent for publication Not required.

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.