ArticleeLife2022
The individuality of shape asymmetries of the human cerebral cortex.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 31 citations in OpenAlex.
- Template-Based Analysis of Age-Dependent Cortical Eigenmodes and Scalp EEG Forward Transfer in Infancy.Brain topography · 2026Article
- Individualized cortical thickness asymmetry in autism spectrum disorder and schizophrenia.Molecular psychiatry · 2026Article
- Mapping the multiscale neuroanatomy of GRN-related frontotemporal dementia using mode-based morphometry.NeuroImage. Clinical · 2026Article
- Mapping the coupling between tract reachability and cortical geometry of the human brain.Nature communications · 2025Article
- Multiscale cortical morphometry reveals pronounced regional and scale-dependent variations across the lifespan.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- The Balance in the Head: How Developmental Factors Explain Relationships Between Brain Asymmetries and Mental Diseases.Brain sciences · 2025Review
- Investigating the complex cortical dynamics of an advanced concentrative absorption meditation called jhanas (ACAM-J): a geometric eigenmode analysis.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Exploring Brain Size Asymmetry and Its Relationship with Predation Risk Among Chinese Anurans.Biology · 2025Article
- Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Brain morphology normative modelling platform for abnormality and centile estimation: Brain MoNoCle.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Mode-based morphometry: A multiscale approach to mapping human neuroanatomy.Human brain mapping · 2024Article
- Temporal Interactions between Maintenance of Cerebral Cortex Thickness and Physical Activity from an Individual Person Micro-Longitudinal Perspective and Implications for Precision Medicine.Journal of personalized medicine · 2024Article
- A multiscale characterization of cortical shape asymmetries in early psychosis.Brain communications · 2024Article
- Exploring Cortical and Hippocampal Changes in Temporal Lobe Epilepsy Using Automated MRI Segmentation Techniques.International journal of general medicine · 2024Article
- Interacting spiral wave patterns underlie complex brain dynamics and are related to cognitive processing.Nature human behaviour · 2023Article
- Language network lateralization is reflected throughout the macroscale functional organization of cortex.Nature communications · 2023Article
- Geometric constraints on human brain function.Nature · 2023Article
- Mode-based morphometry: A multiscale approach to mapping human neuroanatomy.bioRxiv : the preprint server for biology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 4 institutions in 2 countries.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.