The individuality of shape asymmetries of the human cerebral cortex.
computational biology
cortical asymmetry
heritability
neuroscience
none
spectral shape analysis
subject identifiability
systems biology
Journal
eLife
ISSN: 2050-084X
Titre abrégé: Elife
Pays: England
ID NLM: 101579614
Informations de publication
Date de publication:
05 10 2022
05 10 2022
Historique:
received:
28
10
2021
accepted:
04
10
2022
pubmed:
6
10
2022
medline:
19
11
2022
entrez:
5
10
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 36197720
doi: 10.7554/eLife.75056
pii: 75056
pmc: PMC9668337
doi:
pii:
Types de publication
Journal Article
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : NIA NIH HHS
ID : R01 AG043434
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG024904
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG003991
Pays : United States
Organisme : NIA NIH HHS
ID : P01 AG026276
Pays : United States
Organisme : NIBIB NIH HHS
ID : R01 EB009352
Pays : United States
Organisme : NIMH NIH HHS
ID : U54 MH091657
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR000448
Pays : United States
Organisme : NCATS NIH HHS
ID : UL1 TR002345
Pays : United States
Investigateurs
None For The Alzheimer's Disease Neuroimaging Initiative
Informations de copyright
© 2022, Chen et al.
Déclaration de conflit d'intérêts
YC, AA, EM, JP, SC, CS No competing interests declared, AF Reviewing editor, eLife, KA is a scientific advisor and shareholder in BrainKey Inc, a medical image analysis software company
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