ReviewBrain connectivity2019
Microstructure-Informed Connectomics: Enriching Large-Scale Descriptions of Healthy and Diseased Brains.
Review in Brain connectivity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.
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
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brain Structure in Acutely Underweight and Partially Weight-Restored Individuals With Anorexia Nervosa: A Coordinated Analysis by the ENIGMA Eating Disorders Working Group.Biological psychiatry · 2022Pooled it
- Rethinking cortical hypertrophy in temporal lobe epilepsy.Brain : a journal of neurology · 2026Review
- Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Structural network alterations in adolescent major depression and bipolar disorder: a graph-theoretical and fixel-based analysis.BMC psychiatry · 2026Article
- Multimodal gradients unify local and global cortical organization.Nature communications · 2025Article
- Multimodal precision MRI of the individual human brain at ultra-high fields.Scientific data · 2025Article
- Oxytocin modulation of resting-state functional connectivity network topology in individuals with higher autistic traits.Psychoradiology · 2025Article
- A network control theory pipeline for studying the dynamics of the structural connectome.Nature protocols · 2024Article
- Connectome reorganization associated with temporal lobe pathology and its surgical resection.Brain : a journal of neurology · 2024Article
- Edge-wise analysis reveals white matter connectivity associated with focal to bilateral tonic-clonic seizures.Epilepsia · 2024Article
- NBS-SNI, an extension of the network-based statistic: Abnormal functional connections between important structural actors.Network neuroscience (Cambridge, Mass.) · 2024Article
- Towards a biologically annotated brain connectome.Nature reviews. Neuroscience · 2023Review
- Using network control theory to study the dynamics of the structural connectome.bioRxiv : the preprint server for biology · 2023Article
- Assortative mixing in micro-architecturally annotated brain connectomes.Nature communications · 2023Article
- A convergent structure-function substrate of cognitive imbalances in autism.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- BrainStat: A toolbox for brain-wide statistics and multimodal feature associations.NeuroImage · 2023Article
- Article
- An Open MRI Dataset For Multiscale Neuroscience.Scientific data · 2022Article
- Structural network alterations in focal and generalized epilepsy assessed in a worldwide ENIGMA study follow axes of epilepsy risk gene expression.Nature communications · 2022Article
- Multimodal connectome biomarkers of cognitive and affective dysfunction in the common epilepsies.Network neuroscience (Cambridge, Mass.) · 2022Article
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.
Funding
Abstract
Rapid advances in neuroimaging and network science have produced powerful tools and measures to appreciate human brain organization at multiple spatial and temporal scales. It is now possible to obtain increasingly meaningful representations of whole-brain structural and functional brain networks and to formally assess macroscale principles of network topology. In addition to its utility in characterizing healthy brain organization, individual variability, and life span-related changes, there is high promise of network neuroscience for the conceptualization and, ultimately, management of brain disorders. In the current review, we argue for a science of the human brain that, while strongly embracing macroscale connectomics, also recommends awareness of brain properties derived from meso- and microscale resolutions. Such features include MRI markers of tissue microstructure, local functional properties, as well as information from nonimaging domains, including cellular, genetic, or chemical data. Integrating these measures with connectome models promises to better define the individual elements that constitute large-scale networks, and clarify the notion of connection strength among them. By enriching the description of large-scale networks, this approach may improve our understanding of fundamental principles of healthy brain organization. Notably, it may also better define the substrate of prevalent brain disorders, including stroke, autism, as well as drug-resistant epilepsies that are each characterized by intriguing interactions between local anomalies and network-level perturbations.
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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.