This paper is in the following e-collection/theme issue:

Public (e)Health, Digital Epidemiology and Public Health Informatics (1008) Demographics of Users, Social & Digital Divide (914) Equity and Digital Divide (370) Dementia and Cognitive Decline (696) Medical imaging (110) Internet Access and Digital Technology Use in an Elderly Population (329) Imaging Informatics (302)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/73360, first published .
The Effect of Overcoming the Digital Divide on Middle Frontal Gyrus Atrophy in Aging Adults: Large-Scale Retrospective Magnetic Resonance Imaging Cohort Study

The Effect of Overcoming the Digital Divide on Middle Frontal Gyrus Atrophy in Aging Adults: Large-Scale Retrospective Magnetic Resonance Imaging Cohort Study

The Effect of Overcoming the Digital Divide on Middle Frontal Gyrus Atrophy in Aging Adults: Large-Scale Retrospective Magnetic Resonance Imaging Cohort Study

Authors of this article:

Yumeng Li1, 2 Author Orcid Image ;   Xinyue Zhang1, 2 Author Orcid Image ;   Jiaqing Sun3 Author Orcid Image ;   Junying Zhang4 Author Orcid Image ;   Aiqin Zhu5 Author Orcid Image ;   Xin Li1, 2 Author Orcid Image ;   Zhanjun Zhang1, 2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Yumeng Li   1, 2 , BD ;   Xinyue Zhang   1, 2 , BD ;   Jiaqing Sun   3 , PhD ;   Junying Zhang   4 , PhD ;   Aiqin Zhu   5 , PhD ;   Xin Li   1, 2 * , PhD ;   Zhanjun Zhang   1, 2 * , PhD

1 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China

2 Beijing Aging Brain Rejuvenation Initiative Centre, Beijing Normal University, Beijing, China

3 Department of Management, London School of Economics and Political Science, London, United Kingdom

4 Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China

5 Department of Geriatrics, Qinghai Provincial People’s Hospital, Xining, China

*these authors contributed equally

Corresponding Author:

  • Xin Li, PhD
  • State Key Laboratory of Cognitive Neuroscience and Learning
  • Beijing Normal University
  • No.19, Xinjiekouwai Street, Haidian District
  • Beijing 100875
  • China
  • Phone: 86 15810127521
  • Email: lixin99@bnu.edu.cn