ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2015
Cerebral cartography and connectomics.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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
33 citing papers in PubMed.
- Narcissistic and Antisocial Personality Traits Are Both Encoded in the Triple Network: Connectomics Evidence.Psychophysiology · 2025Article
- Rootlets Hierarchical Principal Component Analysis for Revealing Nested Dependencies in Hierarchical Data.Mathematics (Basel, Switzerland) · 2025Article
- A simulated annealing algorithm for randomizing weighted networks.Nature computational science · 2025Article
- Hierarchical Principal Components for Data-Driven Multiresolution fMRI Analyses.Brain sciences · 2024Article
- Brain Structure and Function: Insights from Chemical Neuroanatomy.Life (Basel, Switzerland) · 2023Article
- A parcellation scheme of mouse isocortex based on reversals in connectivity gradients.Network neuroscience (Cambridge, Mass.) · 2023Article
- Structural networking of the developing brain: from maturation to neurosurgical implications.Frontiers in neuroanatomy · 2023Review
- Constructive connectomics: How neuronal axons get from here to there using gene-expression maps derived from their family trees.PLoS computational biology · 2022Article
- Reductionistic Explanations of Cognitive Information Processing: Bottoming Out in Neurochemistry.Frontiers in integrative neuroscience · 2022Article
- It's about time: Linking dynamical systems with human neuroimaging to understand the brain.Network neuroscience (Cambridge, Mass.) · 2022Article
- Multiple spatial scale mapping of time-resolved brain network reconfiguration during evoked pain in patients with rheumatoid arthritis.Frontiers in neuroscience · 2022Article
- Stable Meta-Networks, Noise, and Artifacts in the Human Connectome: Low- to High-Dimensional Independent Components Analysis as a Hierarchy of Intrinsic Connectivity Networks.Frontiers in neuroscience · 2021Article
- Towards understanding neural network signatures of motor skill learning in Parkinson's disease and healthy aging.The British journal of radiology · 2019Review
- Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity.Network neuroscience (Cambridge, Mass.) · 2019Article
- Computational neuroscience and neuroinformatics: Recent progress and resources.Journal of biosciences · 2018Review
- Imaging-based parcellations of the human brain.Nature reviews. Neuroscience · 2018Review
- Connectivity Fingerprints: From Areal Descriptions to Abstract Spaces.Trends in cognitive sciences · 2018Review
- Dynamic graph metrics: Tutorial, toolbox, and tale.NeuroImage · 2018Article
- Mapping the collaterome for precision cerebrovascular health: Theranostics in the continuum of stroke and dementia.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2018Review
- Connectivity of neuronal populations within and between areas of primate somatosensory cortex.Brain structure & function · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cerebral cartography and connectomics pursue similar goals in attempting to create maps that can inform our understanding of the structural and functional organization of the cortex. Connectome maps explicitly aim at representing the brain as a complex network, a collection of nodes and their interconnecting edges. This article reflects on some of the challenges that currently arise in the intersection of cerebral cartography and connectomics. Principal challenges concern the temporal dynamics of functional brain connectivity, the definition of areal parcellations and their hierarchical organization into large-scale networks, the extension of whole-brain connectivity to cellular-scale networks, and the mapping of structure/function relations in empirical recordings and computational models. Successfully addressing these challenges will require extensions of methods and tools from network science to the mapping and analysis of human brain connectivity data. The emerging view that the brain is more than a collection of areas, but is fundamentally operating as a complex networked system, will continue to drive the creation of ever more detailed and multi-modal network maps as tools for on-going exploration and discovery in human connectomics.
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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.