Evidence map›Paper›PMID 35662682›Full record

ArticleDevelopmental cognitive neuroscience2022

The developing brain structural and functional connectome fingerprint.

Judit Ciarrusta, Daan Christiaens, Sean P Fitzgibbon, Ralica Dimitrova, Jana Hutter, Emer Hughes, Eugene Duff, Anthony N Price, Lucilio Cordero-Grande, J-Donald Tournier and 6 more

Abstract read
In one paragraph

Article in Developmental cognitive neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
  6. Structure-function coupling in the first month of life: Associations with age and attention.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Connectome-based fingerprinting: reproducibility, precision, and behavioral prediction.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Entropy, complexity, and maturity in children's neural responses to naturalistic video lessons.Cortex; a journal devoted to the study of the nervous system and behavior · 2023
    Article
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

16 authors.

Judit CiarrustaDepartment of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom; Center for Brain and Cognition (CBC), Universitat Pompeu Fabra, Barcelona, Spain.
Daan ChristiaensCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom; Department of Electrical Engineering, ESAT/PSI, KU Leuven, Leuven, Belgium.
Sean P FitzgibbonWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
Ralica DimitrovaDepartment of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Jana HutterCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Emer HughesCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Eugene DuffWellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, UK; Paediatric Neuroimaging Group, Department of Paediatrics, University of Oxford, UK.
Anthony N PriceCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Lucilio Cordero-GrandeCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom; Biomedical Image Technologies, ETSI Telecomunicación, Universidad Politécnica de Madrid & CIBER-BBN, Madrid, Spain.
J-Donald TournierCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Daniel RueckertBiomedical Image Analysis Group, Department of Computing, Imperial College London, London, United Kingdom; Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Joseph V HajnalCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.
Tomoki ArichiCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom; Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom; Children's Neurosciences, Evelina London Children's Hospital, Guy's and St Thomas' NHS Trust, London, United Kingdom.
Grainne McAlonanDepartment of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom.
A David EdwardsCentre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom; MRC Centre for Neurodevelopmental Disorders, King's College London, London, United Kingdom.
Dafnis BatalleDepartment of Forensic and Neurodevelopmental Science, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom; Centre for the Developing Brain, School of Imaging Sciences & Biomedical Engineering, King's College London, London, United Kingdom.

Funding

Medical Research Council MR/K006355/1Medical Research Council MR/N026063/1Medical Research Council MR/P008712/1Medical Research Council MR/T018119/1Medical Research Council MR/V036874/1NIDCR NIH HHSWellcome Trust 203148/Z/16/ZWellcome Trust 217316/Z/19/ZWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

In the mature brain, structural and functional 'fingerprints' of brain connectivity can be used to identify the uniqueness of an individual. However, whether the characteristics that make a given brain distinguishable from others already exist at birth remains unknown. Here, we used neuroimaging data from the developing Human Connectome Project (dHCP) of preterm born neonates who were scanned twice during the perinatal period to assess the developing brain fingerprint. We found that 62% of the participants could be identified based on the congruence of the later structural connectome to the initial connectivity matrix derived from the earlier timepoint. In contrast, similarity between functional connectomes of the same subject at different time points was low. Only 10% of the participants showed greater self-similarity in comparison to self-to-other-similarity for the functional connectome. These results suggest that structural connectivity is more stable in early life and can represent a potential connectome fingerprint of the individual: a relatively stable structural connectome appears to support a changing functional connectome at a time when neonates must rapidly acquire new skills to adapt to their new environment.

Indexed as

ConnectomeBrainHumansInfant, NewbornMagnetic Resonance Imagingbrain networksconnectivitydiffusion MRIfunctional MRIneonatepretermtractography

Identifiers

PMID35662682
PMCPMC9344310

What OpenQuestion holds

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Registered trials

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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.