Evidence map›Paper›PMID 29425270›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2019

System-Specific Patterns of Thalamocortical Connectivity in Early Brain Development as Revealed by Structural and Functional MRI.

Silvina L Ferradal, Borjan Gagoski, Camilo Jaimes, Francesca Yi, Clarisa Carruthers, Catherine Vu, Jonathan S Litt, Ryan Larsen, Brad Sutton, P Ellen Grant and 1 more

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Asymmetry of Directed Brain Connectivity at Birth in Low-Risk Full-Term Newborns.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Development of the Ontogenetic Self-Regulation Clock.International journal of molecular sciences · 2022
    Review
  9. Article
  10. Review
  11. Functional thalamocortical connectivity at term equivalent age and outcome at 2 years in infants born preterm.Cortex; a journal devoted to the study of the nervous system and behavior · 2021
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Resting-State fMRI Networks in Children with Tuberous Sclerosis Complex.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2019
    Article
  18. Review
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

11 authors.

Silvina L FerradalBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Borjan GagoskiBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Camilo JaimesMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Francesca YiBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Clarisa CarruthersBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Catherine VuBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Jonathan S LittBeth Israel Deaconess Medical Center, Boston, MA, USA.
Ryan LarsenBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Brad SuttonBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
P Ellen GrantBoston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Lilla ZölleiMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Funding

Perinatal Brain Injury: Potential of Innovative NIRS to Optimize HypothermiaR01HD076258 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI Patricia Ellen Grant, Pei-Yi Lin · 2014 to 2026
$7.2M
Age-Dependent Analysis Techniques for Pediatric Structural and Diffusion MRI DataR00HD061485 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI ZOLLEI, LILLA · 2012 to 2014
$706k
Monitoring Brain Health in Neonatal Congenital Heart Disease with Bedside CMR02R21HD072505 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI GRANT, PATRICIA ELLEN · 2013 to 2014
$432k
NICHD NIH HHS R00 HD061485NICHD NIH HHS R01 HD076258NICHD NIH HHS R21 HD072505
6 · The paper itself

Abstract

The normal development of thalamocortical connections plays a critical role in shaping brain connectivity in the prenatal and postnatal periods. Recent studies using advanced magnetic resonance imaging (MRI) techniques in neonates and infants have shown that abnormal thalamocortical connectivity is associated with adverse neurodevelopmental outcomes. However, all these studies have focused on a single neuroimaging modality, overlooking the dynamic relationship between structure and function at this early stage. Here, we study the relationship between structural and functional thalamocortical connectivity patterns derived from healthy full-term infants scanned with diffusion-weighted MRI and resting-state functional MRI within the first weeks of life (mean gestational age = 39.3 ± 1.2 weeks; age at scan = 24.2 ± 7.9 days). Our results show that while there is, in general, good spatial agreement between both MRI modalities, there are regional variations that are system-specific: regions involving primary-sensory cortices exhibit greater structural/functional overlap, whereas higher-order association areas such as temporal and posterior parietal cortices show divergence in spatial patterns of each modality. This variability illustrates the complementarity of both modalities and highlights the importance of multimodal approaches.

Indexed as

Brain MappingCerebral CortexChild DevelopmentDiffusion Magnetic Resonance ImagingFemaleGestational AgeHumansInfantMagnetic Resonance ImagingMaleNeural PathwaysThalamus

Identifiers

PMID29425270
PMCPMC6499009

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.