ReviewNeuroImage2017
Multi-scale brain networks.
Review in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 267 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
267 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence role in advancement of human brain connectome studies.Frontiers in neuroinformatics · 2024Pooled it
- Effects of Oral Contraceptive Pills on Brain Networks: A Conceptual Replication and Extension.Human brain mapping · 2025Trial
- A multi-task, multi-stage deep transfer learning model for early prediction of neurodevelopment in very preterm infants.Scientific reports · 2020Trial
- Dynamic brain functional connectivity in age-related hearing loss during auditory selective spatial attention.GeroScience · 2026Article
- Spatial organization of AQP4 water channel expression in the human brain.Science advances · 2026Article
- Latent persistence in fMRI dynamics during human memory consolidation.Neuroimage. Reports · 2026Article
- A single computational objective can produce specialization of streams in visual cortex.Nature communications · 2026Article
- Hierarchical structural-functional coupling reorganization after acute sleep deprivation: Links to spatial working memory and lateralization.Cognitive, affective & behavioral neuroscience · 2026Article
- Charting higher-order models of brain function beyond pairwise interactions.Nature communications · 2026Article
- Sparse Distributed Archetypes Reveal Compressible Network Motifs Underlying Naturalistic Cognition.bioRxiv : the preprint server for biology · 2026Article
- Neuromorphic hierarchical modular reservoirs.Nature communications · 2026Article
- Decreased amyloid-related structure-function coupling in preclinical Alzheimer's disease.Communications medicine · 2026Article
- Relapse in alcohol dependence is characterized by disrupted modular brain network organization.European archives of psychiatry and clinical neuroscience · 2026Article
- Stabilizing fractional dynamical networks suppresses epileptic seizures.Scientific reports · 2026Article
- Whole-brain cellular-resolution functional network properties of seizure susceptibility.bioRxiv : the preprint server for biology · 2026Article
- Deriving functional network topology frombioRxiv : the preprint server for biology · 2026Article
- Group Sparse Representation Enhances Brain Network Classification of Major Depressive Disorder in Two Chinese Cohorts.Alpha psychiatry · 2026Article
- Brain network reconfiguration during reward prediction error processing.Network neuroscience (Cambridge, Mass.) · 2026Article
- Amyloid-beta relates to default and attention network connectivity during working memory retrieval.Brain communications · 2026Article
- A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel.PloS one · 2026Article
207 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
2 authors.
Funding
Abstract
The network architecture of the human brain has become a feature of increasing interest to the neuroscientific community, largely because of its potential to illuminate human cognition, its variation over development and aging, and its alteration in disease or injury. Traditional tools and approaches to study this architecture have largely focused on single scales-of topology, time, and space. Expanding beyond this narrow view, we focus this review on pertinent questions and novel methodological advances for the multi-scale brain. We separate our exposition into content related to multi-scale topological structure, multi-scale temporal structure, and multi-scale spatial structure. In each case, we recount empirical evidence for such structures, survey network-based methodological approaches to reveal these structures, and outline current frontiers and open questions. Although predominantly peppered with examples from human neuroimaging, we hope that this account will offer an accessible guide to any neuroscientist aiming to measure, characterize, and understand the full richness of the brain's multiscale network structure-irrespective of species, imaging modality, or spatial resolution.
Indexed as
Identifiers
What OpenQuestion holds
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.