Variations of global brain asymmetry are associated with aging and related diseases

Lateralization is a hallmark of brain organization, yet the structural basis underlying this phenomenon remains a critical, unresolved question in cognitive and systems neuroscience. In this study, we applied multivariate machine learning techniques to investigate variations of global brain asymmetry and their associations with cognitive functions, aging, and aging-related diseases, using large-scale datasets. Our findings revealed substantial and previously unknown structural differences between the hemispheres, and established key associations between structural asymmetries and lateralized functions. At the population level, we identified unique aging trajectories of hemispheric differences and uncovered diagnosis-specific variations in patients with Alzheimer’s and Parkinson’s disease, and in APOE ε4 carriers at genetic risk. Notably, we identified a “left hemi-aging” pattern that challenges the conventional “right hemi-aging” model. Together, these results advance our understanding of functional lateralization in the human brain and highlight the potential of global brain asymmetry as a biomarker for brain aging and related diseases.

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Publication Details

Journal
Science Advances
Published
2026-07-01
DOI
https://doi.org/10.1126/sciadv.adu9309
Primary Topic
Hemispheric Asymmetry in Neuroscience
Type
article
Field-Weighted Citation Impact
0.00

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article

Variations of global brain asymmetry are associated with aging and related diseases

Haoyu Hu, Clyde Francks, X.-D. Wang, Xiangzhen Kong et al.
Science Advances
Hemispheric Asymmetry in Neuroscience
article

Variations of global brain asymmetry are associated with aging and related diseases

Haoyu Hu, Clyde Francks, X.-D. Wang, Xiangzhen Kong, Yilamujiang Abuduaini, Paul M. Thompson, Yi Pu, Duxiao Guo
article en

Abstract

Lateralization is a hallmark of brain organization, yet the structural basis underlying this phenomenon remains a critical, unresolved question in cognitive and systems neuroscience. In this study, we applied multivariate machine learning techniques to investigate variations of global brain asymmetry and their associations with cognitive functions, aging, and aging-related diseases, using large-scale datasets. Our findings revealed substantial and previously unknown structural differences between the hemispheres, and established key associations between structural asymmetries and lateralized functions. At the population level, we identified unique aging trajectories of hemispheric differences and uncovered diagnosis-specific variations in patients with Alzheimer’s and Parkinson’s disease, and in APOE ε4 carriers at genetic risk. Notably, we identified a “left hemi-aging” pattern that challenges the conventional “right hemi-aging” model. Together, these results advance our understanding of functional lateralization in the human brain and highlight the potential of global brain asymmetry as a biomarker for brain aging and related diseases.

Science AdvancesVol. 12(27)
University of Southern California (US), Radboud University Nijmegen (NL), Sir Run Run Shaw Hospital (CN), Radboud University Medical Center (NL), Max Planck Institute for Psycholinguistics (NL), East China Normal University (CN), Zhejiang University (CN)
Alzheimer's Association, National Natural Science Foundation of China, Max-Planck-Gesellschaft, National Institutes of Health, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 6%
Hemispheric Asymmetry in Neuroscience
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