ArticleBrain : a journal of neurology2018
Brain structural alterations are distributed following functional, anatomic and genetic connectivity.
Article in Brain : a journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 9 of them syntheses that pooled it.
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Who cites it
47 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Brain Structural Abnormalities in Addiction Disorders: Transdiagnostic Meta-Analyses.Human brain mapping · 2026Pooled it
- Identification of a diagnosis-selective neurobiological substrate for bipolar disorder, major depressive disorder, and schizophrenia: a meta-analysis of 57,717 subjects.Psychological medicine · 2026Pooled it
- Cortical and Subcortical Brain Alterations in Specific Phobia and Its Animal and Blood-Injection-Injury Subtypes: A Mega-Analysis From the ENIGMA Anxiety Working Group.The American journal of psychiatry · 2024Pooled it
- ALE meta-analyses of voxel-based morphometry studies: Parameter validation via large-scale simulations.NeuroImage · 2023Pooled it
- Co-alteration Network Architecture of Major Depressive Disorder: A Multi-modal Neuroimaging Assessment of Large-scale Disease Effects.Neuroinformatics · 2023Pooled it
- Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder: Results From the ENIGMA-PGC Posttraumatic Stress Disorder Consortium.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Pooled it
- A co-alteration parceling of the cingulate cortex.Brain structure & function · 2022Pooled it
- Pooled it
- Hubs of long-distance co-alteration characterize brain pathology.Human brain mapping · 2020Pooled it
- Network-Based Spreading of Gray Matter Changes Across Different Stages of Psychosis.JAMA psychiatry · 2023Trial
- Widespread synaptic density loss in schizophrenia follows molecular and network architecture.Molecular psychiatry · 2026Article
- Cerebral cortical alterations in adolescent early-onset psychosis: a surface-based morphometry mega-analysis.Molecular psychiatry · 2026Article
- Association of prenatal depression and anxiety with cortical development and behavioral outcomes in 8-year-old children.Journal of affective disorders · 2026Article
- Charting brain morphology in international healthy and neurological populations.Nature neuroscience · 2026Article
- Structural and functional covariance architecture of major depressive disorder: A meta-analytic structural equation modeling approach to primary neuroimaging analysis.Brain organoid & systems neuroscience journal · 2025Article
- International Collaborations at the Intersection of Brain Sciences and Artificial Intelligence.Neuroinformatics · 2025Article
- The Role of Neuroinflammation and Network Anomalies in Drug-Resistant Epilepsy.Neuroscience bulletin · 2025Review
- Disorganized Striatal Functional Connectivity as a Partially Shared Pathophysiological Mechanism in Both Schizophrenia and Major Depressive Disorder: A Transdiagnostic fMRI Study.Brain topography · 2025Article
- Embracing variability in the search for biological mechanisms of psychiatric illness.Trends in cognitive sciences · 2025Review
- More Than the Sum of Its Parts: Disrupted Core Periphery of Multiplex Brain Networks in Multiple Sclerosis.Human brain mapping · 2025Article
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9 authors.
Funding
Abstract
The pathological brain is characterized by distributed morphological or structural alterations in the grey matter, which tend to follow identifiable network-like patterns. We analysed the patterns formed by these alterations (increased and decreased grey matter values detected with the voxel-based morphometry technique) conducting an extensive transdiagnostic search of voxel-based morphometry studies in a large variety of brain disorders. We devised an innovative method to construct the networks formed by the structurally co-altered brain areas, which can be considered as pathological structural co-alteration patterns, and to compare these patterns with three associated types of connectivity profiles (functional, anatomical, and genetic). Our study provides transdiagnostical evidence that structural co-alterations are influenced by connectivity constraints rather than being randomly distributed. Analyses show that although all the three types of connectivity taken together can account for and predict with good statistical accuracy, the shape and temporal development of the co-alteration patterns, functional connectivity offers the better account of the structural co-alteration, followed by anatomic and genetic connectivity. These results shed new light on the possible mechanisms at the root of neuropathological processes and open exciting prospects in the quest for a better understanding of brain disorders.
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