ReviewCurrent opinion in neurobiology2016
Brain structure and dynamics across scales: in search of rules.
Review in Current opinion in neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed, 1 synthesis or guideline pooled it.
- An MRI-Based, Data-Driven Model of Cortical Laminar Connectivity.Neuroinformatics · 2021Pooled it
- The compositionality continuum as a principle for studying the neural basis of intelligence.Nature neuroscience · 2026Review
- Fluorescent Labeling Methods for Brain Structure Research.Molecules (Basel, Switzerland) · 2026Review
- A complex network perspective on brain disease.Biological reviews of the Cambridge Philosophical Society · 2026Review
- From comparative connectomics to large-scale working memory modeling in macaque and marmoset.Cell reports · 2026Article
- Sliding-window training on readout layer enhances liquid state machines for temporal prediction.Npj unconventional computing · 2026Article
- Article
- Dynamic reorganization of functional networks underlying audiovisual interactions.Scientific reports · 2025Article
- From comparative connectomics to large-scale working memory modeling in macaque and marmoset.bioRxiv : the preprint server for biology · 2025Article
- Cellular basis for cortical network aging in primates.bioRxiv : the preprint server for biology · 2025Article
- A multiscale brain emulation-based artificial intelligence framework for dynamic environments.Scientific reports · 2025Article
- Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal identity and reward contingency signals during rule-reversal.Nature communications · 2025Article
- Metric structural human connectomes: Localization and multifractality of eigenmodes.Network neuroscience (Cambridge, Mass.) · 2025Article
- Maximum likelihood estimation of spatially dependent interactions in large populations of cortical neurons.Frontiers in computational neuroscience · 2025Article
- Biological detail and graph structure in network neuroscience.Frontiers in network physiology · 2025Review
- Multi-timescale neural dynamics for multisensory integration.Nature reviews. Neuroscience · 2024Review
- Why brain organoids are not conscious yet.Patterns (New York, N.Y.) · 2024Review
- Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal reward contingency signals during rule-reversal.bioRxiv : the preprint server for biology · 2023Article
- Spike-based coupling between single neurons and populations across rat sensory cortices, perirhinal cortex, and hippocampus.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Geometric constraints on human brain function.Nature · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
Louis Henry Sullivan, the father of skyscrapers, famously stated 'Form ever follows function'. In this short review, we will focus on the relationship between form (structure) and function (dynamics) in the brain. We summarize recent advances on the quantification of directed- and weighted-mesoscopic connectivity of mammalian cortex, the exponential distance rule for mesoscopic and microscopic circuit wiring, a spatially embedded random model of inter-areal cortical networks, and a large-scale dynamical circuit model of money's cortex that gives rise to a hierarchy of timescales. These findings demonstrate that inter-areal cortical networks are dense (hence such concepts as 'small-world' need to be refined when applied to the brain), spatially dependent (therefore purely topological approach of graph theory has limited applicability) and heterogeneous (consequently cortical areas cannot be treated as identical 'nodes').
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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.