Ventricular volume adjustment of brain regions depicts brain changes associated with HIV infection and aging better than intracranial volume adjustment.

Journal: Frontiers in neurology
Published Date: May 19, 2025

Abstract

INTRODUCTION: While the adjustment of intracranial volume (ICV) is reported to have a significant influence in the outcomes of the analyses of brain structural measures, our study offers a paradigm shift, positing that adjusting for lateral ventricle (LV) inter-individual variability may reveal more atrophic patterns that might be overlooked in analyses without this adjustment,-and such LV-adjusted atrophic patterns may reduce discrepancies observed in earlier studies and better elucidate complex conditions associated with HIV, such as HAND.

Authors

  • Benedictor Alexander Nguchu
    School of Biomedical Engineering (Suzhou) (T.E.K.,Y.C., H.S.), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, China; Department of Medical Imaging (T.E.K.,Y.C., H.S., J.Z., X.Y.), Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, China; Hefei National Lab for Physical Sciences at the Microscale and Centres for Biomedical Engineering (B.A.N.), University of Science and Technology of China, Hefei, 230026, China; EasySignal Group, Department of Automation (P.M.), Tsinghua University, Beijing 100084, China; Department of Biomedical Engineering (E.O.O.), Shenzhen University, Shenzhen, 518060, China; Jinhua Laboratory (X.Y.), Foshan, 528000, China.
  • Jing Zhao
    Department of Pharmacy, Pharmacoepidemiology and Drug Safety Research Group, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
  • Jiajun Fan
    Chongqing University, Chongqing, 400030, China.
  • Yifei Han
    Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Yu Lu
    Faw-volkswagen Automative Co., Changchun, China.
  • Han Jin
    School of Big Data Application and Economics, Guizhou University of Finance and Economics, Guiyang, Guizhou, China.
  • Yanming Wang
    Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China.
  • Hongjun Li
    School of Agricultural Engineering and Food Science, Shandong University of Technology, Zhangdian District, No. 12, Zhangzhou Road, Zibo, Shandong Province, China.
  • Peter Shaw
    Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), Wenzhou Medical University, Wenzhou, Zhejiang, China.

Keywords

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