Evidence map›Paper›PMID 31707621›Full record

ReviewBrain topography2019

Towards a Universal Taxonomy of Macro-scale Functional Human Brain Networks.

Lucina Q Uddin, B T Thomas Yeo, R Nathan Spreng

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Brain topography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 385 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
385citing papers in PubMed, 10 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

385 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  11. Trial
  12. Article
  13. Individualized Network Topography in Pre-adolescent Children and Adults Using Naturalistic Precision fMRI.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
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325 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lucina Q UddinDepartment of Psychology, University of Miami, P.O. Box 248185-0751, Coral Gables, FL, 33124, USA. l.uddin@miami.edu.ORCID http://orcid.org/0000-0003-2278-8962
B T Thomas YeoDepartment of Electrical & Computer Engineering, Clinical Imaging Research Centre, Centre for Sleep & Cognition, N.1 Institute for Health & Memory Network Program, National University of Singapore, Singapore, Singapore.
R Nathan SprengLaboratory of Brain and Cognition, Department of Neurology and Neurosurgery, Montreal Neurological Institute, McGill University, 3801 University St, Montreal, QC, H3A 2B4, Canada. nathan.spreng@gmail.com.

Funding

Cognitive and Neural Flexibility in AutismR01MH107549 · NIMH · UNIVERSITY OF MIAMI CORAL GABLES · PI UDDIN, LUCINA QAZI · 2015 to 2019
$2.4M
CIHRNIMH NIH HHS R01 MH107549
6 · The paper itself

Abstract

The past decade has witnessed a proliferation of studies aimed at characterizing the human connectome. These projects map the brain regions comprising large-scale systems underlying cognition using non-invasive neuroimaging approaches and advanced analytic techniques adopted from network science. While the idea that the human brain is composed of multiple macro-scale functional networks has been gaining traction in cognitive neuroscience, the field has yet to reach consensus on several key issues regarding terminology. What constitutes a functional brain network? Are there "core" functional networks, and if so, what are their spatial topographies? What naming conventions, if universally adopted, will provide the most utility and facilitate communication amongst researchers? Can a taxonomy of functional brain networks be delineated? Here we survey the current landscape to identify six common macro-scale brain network naming schemes and conventions utilized in the literature, highlighting inconsistencies and points of confusion where appropriate. As a minimum recommendation upon which to build, we propose that a scheme incorporating anatomical terminology should provide the foundation for a taxonomy of functional brain networks. A logical starting point in this endeavor might delineate systems that we refer to here as "occipital", "pericentral", "dorsal frontoparietal", "lateral frontoparietal", "midcingulo-insular", and "medial frontoparietal" networks. We posit that as the field of network neuroscience matures, it will become increasingly imperative to arrive at a taxonomy such as that proposed here, that can be consistently referenced across research groups.

Indexed as

BrainClassificationCognitionConnectomeHumansMagnetic Resonance ImagingNerve NetNeuroimagingCoactivationFunctional connectivityHuman connectomeNetwork neuroscience

Identifiers

PMID31707621
PMCPMC7325607

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.