Evidence map›Paper›PMID 36931756›Full record

Observational studyThe Journal of nutrition2023

Associations between Early Life Nutrient Intakes and Brain Maturation Show Developmental Dynamics from Infancy to Toddlerhood: A Neuroimaging Observation Study.

Nora Schneider, Fabio Mainardi, Sanja Budisavljevic, Maryann Rolands, Sean Deoni

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
8.1field-weighted citation impact, top 3% of its field
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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Central myelin dysfunction bridges obesity and neurological diseases.Trends in endocrinology and metabolism: TEM · 2024
    Article
  6. Article
  7. 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

5 authors at 2 institutions in 2 countries.

Nora SchneiderBrain Health Department, Nestlé Institute of Health Sciences, Société des Produits Nestlé SA, Vers-Chez-les-Blanc, Lausanne, Switzerland. Electronic address: nora.schneider@rdls.nestle.com.
Fabio MainardiApplied Data Analytics Group, Nestlé Institute of Health Sciences, Société des Produits Nestlé SA, Vers-Chez-les-Blanc, Lausanne, Switzerland.
Sanja BudisavljevicBrain Health Department, Nestlé Institute of Health Sciences, Société des Produits Nestlé SA, Vers-Chez-les-Blanc, Lausanne, Switzerland.
Maryann RolandsNutrition Science Group, Nestlé Institute of Health Sciences, Société des Produits Nestlé SA, Vers-Chez-les-Blanc, Lausanne, Switzerland.
Sean DeoniAdvanced Baby Imaging Lab, Rhode Island Hospital, Providence, RI, USA; Department of Radiology, Warren Alpert Medical School at Brown University, Providence, RI, USA; Spinn Neuroscience, Seattle, WA, USA.
Nestlé (Switzerland) · CHRhode Island Hospital · US

Funding

The Developing Brain: Influences and OutcomesUG3OD023313 · OD · UNIVERSITY OF COLORADO DENVER · PI D'SA, VIREN ANDREW, KOINIS MITCHELL, DAPHNE · 2016 to 2024
$11.6M
NIH HHS UG3 OD023313
6 · The paper itself

Abstract

backgroundMyelin imaging has increasingly been applied to study the impact of nutrition on brain development in recent years. Although individual dynamics for nutrient intakes and myelin trajectories previously have been investigated across childhood, the longitudinal interaction between both remains unclear in typically developed children.

objectivesThe objective of this work was to explore the developmental dynamics of nutrient-myelin interactions from infancy to early childhood using myelin imaging as a marker for brain maturation.

methodsBrain neuroimaging (1 scan per child) and dietary nutrient intake data were analyzed for 88 nutrients from 293 children (127 female, 62% White) from a longitudinal cohort study in the United States. A sliding window approach was used to investigate correlations between nutrient intakes and brain myelination over a continuous set of age windows. Image processing techniques (Sobel-filter vertical edge detection) were applied to determine age windows with unique association profiles, providing novel insight into how these relationships change with child age.

resultsWe identified 3 nutrient-myelin windows covering the age range of 1-5 y: window 1 from 6 to 20 mo with 60% positive nutrient correlations, window 2 from 20 to 30 mo with 20% positive correlations, and window 3 from 30 to 60 mo with 37% positive correlations. The windows are aligned with reported myelin and white matter dynamics that change in the first 5 y from fast and steep (window 1) to continued but slower growth (window 3), with window 2 possibly representing the inflection period.

conclusionsTo our knowledge, this is the first study in typically developing children demonstrating the developmental dynamics between early life nutrient intakes and brain maturation in toddlerhood. The knowledge can be applied for identifying targeted and brain-stage-appropriate nutritional interventions for this critical stage of brain development.

Indexed as

DietEatingBrainChildChild, PreschoolFemaleHumansInfantLongitudinal StudiesNeuroimagingUnited Statesbrain developmentdynamicsMRImyelinationnutritiontoddlers

Identifiers

PMID36931756
PMCPMC10196598
OpenAlexW4316039775

What OpenQuestion holds

Textmetadata
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.