Disconnectome associated with progressive white matter hyperintensities in aging: a virtual lesion study

Frontiers in Aging Neuroscience

Neuroscience

Mohamad Habes¹  Yan Kang²  Meng Li³  Shouliang Qi⁴  John A. Detre⁵  Hans Grabe⁶ 

[1] Biggs Alzheimer’s Institute, University of Texas San Antonio, San Antonio, TX, United States;College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, China;College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China;Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States;College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China;Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, Shenyang, China;Department of Neurology, University of Pennsylvania, Philadelphia, PA, United States;Department of Psychiatry and Psychotherapy, University of Greifswald, Stralsund, Germany;

关键词: white matter hyperintensities;    disconnectome;    aging;    brain network;    diffusion tensor imaging;    magnetic resonance imaging;   

DOI  :  10.3389/fnagi.2023.1237198

 received in 2023-06-09, accepted in 2023-08-04,  发布年份 2023

来源: Frontiers

【 摘 要 】

ObjectiveWhite matter hyperintensities (WMH) are commonly seen on T2-weighted magnetic resonance imaging (MRI) in older adults and are associated with an increased risk of cognitive decline and dementia. This study aims to estimate changes in the structural connectome due to age-related WMH by using a virtual lesion approach.MethodsHigh-quality diffusion-weighted imaging data of 30 healthy subjects were obtained from the Human Connectome Project (HCP) database. Diffusion tractography using q-space diffeomorphic reconstruction (QSDR) and whole brain fiber tracking with 107 seed points was conducted using diffusion spectrum imaging studio and the brainnetome atlas was used to parcellate a total of 246 cortical and subcortical nodes. Previously published WMH frequency maps across age ranges (50’s, 60’s, 70’s, and 80’s) were used to generate virtual lesion masks for each decade at three lesion frequency thresholds, and these virtual lesion masks were applied as regions of avoidance (ROA) in fiber tracking to estimate connectivity changes. Connections showing significant differences in fiber density with and without ROA were identified using paired tests with False Discovery Rate (FDR) correction.ResultsDisconnections appeared first from the striatum to middle frontal gyrus (MFG) in the 50’s, then from the thalamus to MFG in the 60’s and extending to the superior frontal gyrus in the 70’s, and ultimately including much more widespread cortical and hippocampal nodes in the 80’s.ConclusionChanges in the structural disconnectome due to age-related WMH can be estimated using the virtual lesion approach. The observed disconnections may contribute to the cognitive and sensorimotor deficits seen in aging.

【 授权许可】

Unknown   
Copyright © 2023 Li, Habes, Grabe, Kang, Qi and Detre.