The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Rich-club organization of the newborn human brain
Open accessAbstract
Significance: To investigate the organizational principles of human brain development, we analyzed cerebral structural connectivity in the period leading up to the time of normal birth. We found that a “rich club” of interconnected cortical hubs previously reported in adults is present by 30 wk gestation. From mid to late gestation, connections between core hubs and the rest of the brain increased significantly. To determine the influence of environmental factors on network development, we also compared term-born infants to those born prematurely. Alterations in cortical–subcortical connectivity and short-distance connections outside the core network were associated with prematurity. Rich-club organization in the human brain precedes the emergence of complex neurological function, and alterations during this time may impact negatively on subsequent neurodevelopment.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Rich clubs are also evident in both structural and functional networks in neonates along with both high functional modularity and integration capacity between modules (Ball et al., 2014; Scheinost et al., 2016a; van den Heuvel et al., 2015b).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Ball et al., 2014
In the citing paper
“These findings suggest that the development of a small-world architecture, as well as the capacity for globally efficient communication and integration, largely occurs during the first year of life and prenatally, a finding that is supported by multimodal structural and functional network analysis in preterm infants (Ball et al., 2014; van den Heuvel et al., 2015b).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Ball et al., 2014
In the citing paper
“White-matter networks at birth, and even in premature infants at 30 weeks gestational age50, have a rich club property similar to that in adults.”
From Imaging structural and functional brain development in early childhood (2018) · cites this paper as [50]
In the citing paper
“Structural connectivity analyses have demonstrated that well-connected cortical hubs are already evident at 30 weeks' gestation.62”
From Neuroimaging, cardiovascular physiology, and functional outcomes in infants with congenital heart disease (2017) · cites this paper as [62]
In the citing paper
“This is consistent with previous rs-fcMRI studies in adults that used a similar spatial scale of 90 nodes2435 and a diffusion temporal imaging or DTI study in neonates using ~500 nodes36.”
From Functional properties of resting state networks in healthy full-term newborns (2015) · cites this paper as [36]
In the citing paper
“A recent structural study in neonates also identified the hippocampus and insula, as well as association areas such as the paracentral lobules, as hubs, which is consistent with our findings in functional networks36.”
From Functional properties of resting state networks in healthy full-term newborns (2015) · cites this paper as [36]
In the citing paper
“A recent structural study in neonates also identified the hippocampus and insula, as well as association areas such as the paracentral lobules, as hubs, which is consistent with our findings in functional networks36.”
From Functional properties of resting state networks in healthy full-term newborns (2015) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Complex network measures of brain connectivity: Uses and interpretations
Rubinov, M., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.003 · Cited by 11,522
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Nonrigid registration using free-form deformations: application to breast mr images
Rueckert, D., Sonoda, L. I., Hayes, C., Hill, D. L. G., Leach, M. O., & Hawkes, D. J. (1999) · IEEE Transactions on Medical Imaging · doi:10.1109/42.796284 · Cited by 5,265
Self-citationSMITH, S., & NICHOLS, T. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.061 · Cited by 5,250
Preface: Cerebral Cortex Has Come of Age
Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,537
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
The economy of brain network organization
Bullmore, E., & Sporns, O. (2012) · Nature Reviews Neuroscience · doi:10.1038/nrn3214 · Cited by 3,284
Classes of small-world networks
Amaral, L. A. N., Scala, A., Barthélémy, M., & Stanley, H. E. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200327197 · Cited by 3,051
Specificity and Stability in Topology of Protein Networks
Maslov, S., & Sneppen, K. (2002) · Science · doi:10.1126/science.1065103 · Cited by 3,051
Cited by
Sorted by citations
Imaging structural and functional brain development in early childhood
Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
An Integrative Model of the Maturation of Cognitive Control
Luna, B., Marek, S., Larsen, B., Tervo-Clemmens, B., & Chahal, R. (2015) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-071714-034054 · Cited by 550
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411
“These findings suggest that the development of a small-world architecture, as well as the capacity for globally efficient communication and integration, largely occurs during the first year of life and prenatally, a finding that is supported by multimodal structural and functional network analysis in preterm infants (…”
BackgroundResultUnraveling the Miswired Connectome: A Developmental Perspective
Martino, A. D., Fair, D. A., Kelly, C. A. M., Satterthwaite, T. D., Castellanos, F. X., Thomason, M. E., Craddock, R. C., Luna, B., LEVENTHAL, B. L., Zuo, X., et al. (2014) · Neuron · doi:10.1016/j.neuron.2014.08.050 · Cited by 357
Developmental connectomics from infancy through early childhood
Cao, M., Huang, H., & He, Y. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.06.003 · Cited by 284
Metadata
- Authors
- Ball, G., Aljabar, P., Zebari, S., Tusor, N., Arichi, T., Merchant, N., Robinson, E. C., Ogundipe, E., Rueckert, D., Edwards, A. D., & Counsell, S. J.
- Affiliations
- St Thomas' Hospital (GB)
- University of Oxford (GB)
- Chelsea and Westminster Hospital (GB)
- Imperial College London (GB)
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2014-05-05
- Volume
- 111
- Issue
- 20
- Pages
- 7456-7461
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4034228
- OpenAlex
- W1989523430
- Cited by
- 360
- References
- 71
- Citations by year
- 2026: 16 · 2025: 17 · 2024: 34 · 2023: 28 · 2022: 29 · 2021: 33 · 2020: 27 · 2019: 29 · 2018: 43 · 2017: 37 · 2016: 30 · 2015: 27 · 2014: 9
- FWCI
- 18.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- Action Medical Research
- National Institute for Health and Care Research (RP-PG-0707-10154, CL-2012-17-006, ACF-2006-21-028)
- Medical Research Council (MR/K006355/1, MR/J014311/1)
- Engineering and Physical Sciences Research Council (EP/I000445/1)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Keywords
- rich club, brain development, cortical hubs, gestational age, preterm infants, cortical-subcortical connectivity, corticocortical connections, brain network architecture, preterm birth
- MeSH terms
- Brain, Brain Mapping, Cognition, Female, Humans, Infant, Newborn, Infant, Premature, Male, Nerve Net, Neural Pathways, Time Factors, Diffusion Magnetic Resonance Imaging, Premature Birth, Term Birth, Connectome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review