The individuality of shape asymmetries of the human cerebral cortex

Author:

Chen Yu-Chi123ORCID,Arnatkevičiūtė Aurina1,McTavish Eugene124,Pang James C12ORCID,Chopra Sidhant125ORCID,Suo Chao126,Fornito Alex12ORCID,Aquino Kevin M12789ORCID,

Affiliation:

1. Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University

2. Monash Biomedical Imaging, Monash University

3. Monash Data Futures Institute, Monash University

4. Healthy Brain and Mind Research Centre, Faculty of Health Sciences, Australian Catholic University

5. Department of Psychology, Yale University

6. BrainPark, Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University

7. School of Physics, University of Sydney

8. Center of Excellence for Integrative Brain Function, University of Sydney

9. BrainKey Inc

Abstract

Asymmetries of the cerebral cortex are found across diverse phyla and are particularly pronounced in humans, with important implications for brain function and disease. However, many prior studies have confounded asymmetries due to size with those due to shape. Here, we introduce a novel approach to characterize asymmetries of the whole cortical shape, independent of size, across different spatial frequencies using magnetic resonance imaging data in three independent datasets. We find that cortical shape asymmetry is highly individualized and robust, akin to a cortical fingerprint, and identifies individuals more accurately than size-based descriptors, such as cortical thickness and surface area, or measures of inter-regional functional coupling of brain activity. Individual identifiability is optimal at coarse spatial scales (~37 mm wavelength), and shape asymmetries show scale-specific associations with sex and cognition, but not handedness. While unihemispheric cortical shape shows significant heritability at coarse scales (~65 mm wavelength), shape asymmetries are determined primarily by subject-specific environmental effects. Thus, coarse-scale shape asymmetries are highly personalized, sexually dimorphic, linked to individual differences in cognition, and are primarily driven by stochastic environmental influences.

Funder

Sylvia and Charles Viertel Charitable Foundation

National Health and Medical Research Council

Australian Research Council

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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