ReviewNature reviews. Neuroscience2013
Imaging structural co-variance between human brain regions.
Review in Nature reviews. Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 596 papers.
What it found
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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.
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Who cites it
596 citing papers in PubMed.
- Linking Personalized Brain Atrophy to Schizophrenia Network and Treatment Response.Schizophrenia bulletin · 2023Trial
- Network-level structural alterations distinguish persistent from remitted post-traumatic stress disorder: a morphometric covariance approach.European journal of psychotraumatology · 2026Article
- Parent-Child Cortical Similarity Indexes Multiple Dimensions of Sensitivity in the Association Between Family Environment and Adolescent Internalizing Symptoms.bioRxiv : the preprint server for biology · 2026Article
- Motivation and pleasure deficits reflect altered network embedding of normal brain deviations in schizophrenia.Schizophrenia research · 2026Article
- Longitudinal connectomics-based tractometry for characterizing white matter reorganization following brain tumor surgery: a proof-of-concept case series.Journal of neuro-oncology · 2026Article
- Bayesian brain edge-based connectivity (BBeC): a Bayesian model for brain edge-based connectivity inference.BMC bioinformatics · 2026Article
- Transcriptional signatures of cortical morphometric variability in temporal lobe epilepsy.Epilepsia open · 2026Article
- Alteration of individual morphological brain networks in preschool children with autism spectrum disorder.Brain imaging and behavior · 2026Article
- Genetic architecture of white matter microstructure captured by unsupervised deep representation learning of fractional anisotropy maps.Nature communications · 2026Article
- Surface-based morphometry reveals divergent aging trajectories in veterans with and without traumatic brain injury.GeroScience · 2026Article
- Normative THuman brain mapping · 2026Article
- Evolution of a central dopamine circuit underlies adaptation of a light-evoked sensorimotor response in the blind cavefish.Science advances · 2026Article
- Brain Structural Covariance Networks in Long-Term First-Person Shooter and Multiplayer Online Battle Arena Players: Cross-Sectional Study.JMIR serious games · 2026Article
- Unveiling the whole-brain impact of diffuse midline glioma: cortical morphological remodeling and network alterations driven by H3 K27 mutation.Neuroradiology · 2026Article
- Structural covariance, regional topology, and volumetric aspects of amygdala subnuclei in posttraumatic stress disorder using ultra-high field imaging.Molecular psychiatry · 2026Article
- Gray matter volume and structural covariance alterations in young males with childhood-onset growth hormone deficiency.BMC medical imaging · 2026Article
- Linking changes in sulcal morphometry to cognitive development from childhood to adolescence.Communications biology · 2026Article
- Correspondence between morphological similarity of the left lateral orbitofrontal cortex and neurotransmitter systems in adolescent males with autism.General psychiatry · 2026Article
- Reduced Whole-Brain Network Segregation and Dorsal Anterior-Cingulate Cortex Neurochemical Alterations in Chronic Smokers.Brain and behavior · 2026Article
- Topological disruptions of metabolic brain networks in early-stage chronic kidney disease.BMC medical imaging · 2026Article
536 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Brain structure varies between people in a markedly organized fashion. Communities of brain regions co-vary in their morphological properties. For example, cortical thickness in one region influences the thickness of structurally and functionally connected regions. Such networks of structural co-variance partially recapitulate the functional networks of healthy individuals and the foci of grey matter loss in neurodegenerative disease. This architecture is genetically heritable, is associated with behavioural and cognitive abilities and is changed systematically across the lifespan. The biological meaning of this structural co-variance remains controversial, but it appears to reflect developmental coordination or synchronized maturation between areas of the brain. This Review discusses the state of current research into brain structural co-variance, its underlying mechanisms and its potential value in the understanding of various neurological and psychiatric conditions.
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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.