ArticlePLoS biology2024
Morphometric brain organization across the human lifespan reveals increased dispersion linked to cognitive performance.
Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Distinct neurobiological alterations during hedonic experience of rewards in attention deficit hyperactivity disorder and autism spectrum disorder: Multimodal evidence from neuroimaging meta-analyses.Molecular psychiatry · 2026Pooled it
- Elevated BrainAGE precedes cognitive impairment and improves prediction of future cognitive decline.medRxiv : the preprint server for health sciences · 2026Article
- Multiscale brain development across the human lifespan.Communications biology · 2026Review
- Mapping the functional connectome between grey matter and white matter.Communications biology · 2026Article
- Developmental changes of the white matter functional connectome.Molecular psychiatry · 2026Article
- Article
- Controllability of morphometric network colocalize with underlying neurobiology in major depression.Psychological medicine · 2026Article
- MIND versus MSN: A systematic evaluation of test-retest reliability and age sensitivity for T1-weighted structural similarity networks.Network neuroscience (Cambridge, Mass.) · 2026Article
- Abnormal cortical topographic patterns associated with auditory verbal hallucination in first-episode schizophrenia.Translational psychiatry · 2025Article
- Evidence for divergent cortical organisation in Parkinson's disease and Lewy Body Dementia.Nature communications · 2025Article
- Cellular basis for cortical network aging in primates.bioRxiv : the preprint server for biology · 2025Article
- Mapping cerebral blood perfusion and its links to multi-scale brain organization across the human lifespan.PLoS biology · 2025Article
- Cortical morphometric similarity gradient in schizophrenia and its association with transcriptional profiles and clinical phenotype.Psychological medicine · 2025Article
- Major depressive disorder on a neuromorphic continuum.Nature communications · 2025Article
- Structural MRI of brain similarity networks.Nature reviews. Neuroscience · 2025Review
- Mapping the white-matter functional connectome: a personal perspective.Psychoradiology · 2025Review
- Imaging lifespan brain structural growth: From region, to connectome, to gradient.PLoS biology · 2024Article
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Abstract
The human brain is organized as segregation and integration units and follows complex developmental trajectories throughout life. The cortical manifold provides a new means of studying the brain's organization in a multidimensional connectivity gradient space. However, how the brain's morphometric organization changes across the human lifespan remains unclear. Here, leveraging structural magnetic resonance imaging scans from 1,790 healthy individuals aged 8 to 89 years, we investigated age-related global, within- and between-network dispersions to reveal the segregation and integration of brain networks from 3D manifolds based on morphometric similarity network (MSN), combining multiple features conceptualized as a "fingerprint" of an individual's brain. Developmental trajectories of global dispersion unfolded along patterns of molecular brain organization, such as acetylcholine receptor. Communities were increasingly dispersed with age, reflecting more disassortative morphometric similarity profiles within a community. Increasing within-network dispersion of primary motor and association cortices mediated the influence of age on the cognitive flexibility of executive functions. We also found that the secondary sensory cortices were decreasingly dispersed with the rest of the cortices during aging, possibly indicating a shift of secondary sensory cortices across the human lifespan from an extreme to a more central position in 3D manifolds. Together, our results reveal the age-related segregation and integration of MSN from the perspective of a multidimensional gradient space, providing new insights into lifespan changes in multiple morphometric features of the brain, as well as the influence of such changes on cognitive performance.
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