ReviewNature reviews. Neuroscience2025
Structural MRI of brain similarity networks.
Review in Nature reviews. Neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Patient-specific structural connectomic differences of deep brain stimulation targets in treatment-resistant obsessive-compulsive disorder patients.Translational psychiatry · 2026Observational
- Individual-level metabolic connectivity captures cortical morphology and their coupling strengthens in the ageing brain.European journal of nuclear medicine and molecular imaging · 2026Article
- New waves in psychiatric neuroimaging.Nature neuroscience · 2026Article
- Relationship Between Dp140 Genotype and Cortical Similarity Network Phenotype in Duchenne Muscular Dystrophy: Preliminary T1 Weighted Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Morphometric Inverse Divergence Networks Combined with HYDRA Identify Parkinson's Disease Subtypes with Distinct Transcriptomic and Serum Biomarker Profiles.International journal of molecular sciences · 2026Article
- Autism spectrum disorder across the lifespan: Dynamic symptom trajectories and multidimensional support framework.Molecular psychiatry · 2026Review
- Self-assembled biomimetic nanocomposite integrating defect-enhanced piezoelectricity with NIR-II fluorescence and MR imaging for ultrasound-triggered piezo/chemodynamic therapy of subcutaneous glioma.Journal of nanobiotechnology · 2026Article
- Regional, functional and transcriptomic decoding of multidimensional brain structure alterations in obsessive-compulsive disorder.Nature communications · 2026Article
- The genetic architecture of cortical similarity networks.Nature communications · 2026Article
- Gray Matter Morphological Networks are Associated with Neurobiological Features, Cognitive Status and Clinical Recovery in Traumatic Brain Injury.medRxiv : the preprint server for health sciences · 2026Article
- The cellular correlates and adolescent reorganisation of cortical myelination networks in the common marmoset.Communications biology · 2026Article
- Structural connectome architecture and biological vulnerability shape cortical atrophy in cocaine use disorder.BMC medicine · 2026Article
- Mapping ADHD Heterogeneity and Biotypes by Topological Deviations in Morphometric Similarity Networks.JAMA psychiatry · 2026Article
- Individualized cortical gradient and network topology reveal symptom-linked disruptions and neurobiological subtypes in schizophrenia.medRxiv : the preprint server for health sciences · 2026Article
- Biological validity, test-retest reliability, and behavioral relevance of the single-subject brain volumetric similarity network.NeuroImage · 2026Article
- Brain energetic landscapes shape state dysregulation in major depressive disorder: a morphological network controllability perspective.Translational psychiatry · 2026Article
- Visualizing cortical laminar architecture in the living human brain using next-generation ultra-high-gradient diffusion MRI.Communications biology · 2026Article
- Dual-axis myelination covariance drives the functional connectivity emergence during infancy.Nature communications · 2026Article
- Comprehensive large-scale analyses reveal association between brain structure and cognitive ability during adolescence.Communications biology · 2026Article
- Three-dimensional microsurgical anatomy of the cerebral hemisphere from medial to lateral: a fiber-dissection study.Acta neurochirurgica · 2026Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Recent advances in structural MRI analytics now allow the network organization of individual brains to be comprehensively mapped through the use of the biologically principled metric of anatomical similarity. In this Review, we offer an overview of the measurement and meaning of structural MRI similarity, especially in relation to two key assumptions that often underlie its interpretation: (i) that MRI similarity can be representative of architectonic similarity between cortical areas and (ii) that similar areas are more likely to be axonally connected, as predicted by the homophily principle. We first introduce the historical roots and technical foundations of MRI similarity analysis and compare it with the distinct MRI techniques of structural covariance and tractography analysis. We contextualize this empirical work with two generative models of homophilic networks: an economic model of cost-constrained connectional homophily and a heterochronic model of ontogenetically phased cortical maturation. We then review (i) studies of the genetic and transcriptional architecture of MRI similarity in population-averaged and disorder-specific contexts and (ii) developmental studies of normative cohorts and clinical studies of neurodevelopmental and neurodegenerative disorders. Finally, we prioritize knowledge gaps that must be addressed to consolidate structural MRI similarity as an accessible, valid marker of the architecture and connectivity of an individual brain network.
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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.